I'm a self-taught 19-year-old programmer. Coding since 10, dropped out of high-school and got fist job at 15.

In the the early days I was extremely passionate, learning SICP, Algorithms, doing Haskell, C/C++, Rust, Assembly, writing toy compilers/interpreters, tweaking Gentoo/Arch. Even got a lambda tattoo on my arm after learning lambda-calculus and church numerals.

My first job - a company which raised $100,000 on kickstarter. The CEO was a dumb millionaire hippie, who was bored with his money, so he wanted to run a company even though he had no idea what he was doing. He used to talk about how he build our product, even tho he had 0 technical knowledge whatsoever. He was on news a few times which was pretty cringeworthy. The company had only 1 programmer (other than me) who was pretty decent.

We shipped the project, but soon we burned through kickstart money and the sales dried off. Instead of trying to aquire customers (or abandoning the project), boss kept looking for investors, which kept us afloat for an extra year.

Eventually the money dried up, and instead of closing gates, boss decreased our paychecks without our knowledge. He also converted us from full-time employees to "contractors" (also without our knowledge) so he wouldn't have to pay taxes for us. My paycheck decreased by 40% by I still stayed.

One day, I was trying to burn a USB drive, and I did "dd of=/dev/sda" instead of sdb, therefore wiping out our development server. They asked me to stay at company, but I turned in my resignation letter the next day (my highest ever post on reddit was in /r/TIFU).

Next, I found a job at a "finance" company. $50k/year as a 18-year-old. CEO was a good-looking smooth-talker who made few million bucks talking old people into giving him their retirement money.

He claimed he changed his ways, and was now trying to help average folks save money. So far I've been here 8 month and I do not see that happening. He forces me to do sketchy shit, that clearly doesn't have clients best interests in mind.

I am the only developer, and I quickly became a back-end and front-end ninja. 

I switched the company infrastructure from shitty drag+drop website builder, WordPress and shitty Excel macros into a beautiful custom-written python back-end.

Little did I know, this company doesn't need a real programmer. I don't have clear requirements, I get unrealistic deadlines, and boss is too busy to even communicate what he wants from me.

Eventually I sold my soul. I switched parts of it to WordPress, because I was not given enough time to write custom code properly.

For latest project, I switched from using custom React/Material/Sass to using drag+drop TypeForms for surveys.

I used to be an extremist FLOSS Richard Stallman fanboy, but eventually I traded my morals, dreams and ideals for a paycheck. Hey, $50k is not bad, so maybe I shouldn't be complaining? :(

I got addicted to pot for 2 years. Recently I've gotten arrested, and it is honestly one of the best things that ever happened to me. Before I got arrested, I did some freelancing for a mugshot website. In un-related news, my mugshot dissapeared.

I have been sober for 2 month now, and my brain is finally coming back. 

I know average developer hits a wall at around $80k, and then you have to either move into management or have your own business.

After getting sober, I realized that money isn't going to make me happy, and I don't want to manage people. I'm an old-school neck-beard hacker. My true passion is mathematics and physics. I don't want to glue bullshit libraries together. 

I want to write real code, trace kernel bugs, optimize compilers. Albeit, I was boring in the wrong generation.

I've started studying real analysis, brushing up differential equations, and now trying to tackle machine learning and Neural Networks, and understanding the juicy math behind gradient descent.

I don't know what my plan is for the future, but I'll figure it out as long as I have my brain. Maybe I will continue making shitty forms and collect paycheck, while studying mathematics. Maybe I will figure out something else.

But I can't just let my brain rot while chasing money and impressing dumb bosses. If I wait until I get rich to do things I love, my brain will be too far gone at that point. I can't just sell myself out. I'm coming back to my roots.

I still feel like after experiencing industry and pot, I'm a shittier developer than I was at age 15. But my passion is slowly coming back.

Any suggestions from wise ol' neckbeards on how to proceed?

B: you are not even a real developer
Me: ??
B: you are using windows
Me:
Me: what the fucking fuck did you just fucking say you little fuck? Ill have you know i have written at least 4 lines of code, commented once and have a stackoverlfow reputation of -7. I have completed every beginner level udemy course on applied brainfuck mathematics and have worked as a distributed data analyst with excel 03. You are nothing to me, every piece of code i write runs on exactly 3 billion devices and i have an unsuccessful facebook meme page. Bitch.

Got 98% (31.5/32) on a French test

Teacher drops a mark from everyone’s test

Now I have 102% (31.5/31)

Teacher apologized to me saying marks can’t be over 100%

So she gives me a .5 mark on whatever I want

Started with:
- 98%
Ended with:
-100%
-extra .5 mark

...who needs mathematics... or logic for that matter

About six months ago I decided I wanted to learn to write a neural network from the ground up, using only the C++ standard lib. Had to learn some linear algebra, multivariable calc and a dash of wizardry.

The mathematics of neural networks is still one of the coolest things I've ever learnt. It still marvels me that you can make a specialized mini-brain out of nothing but numbers.

To become an engineer (CS/IT) in India, you have to study:
1. 3 papers in Physics (2 mechanics, 1 optics)
2. 1 paper in Chemistry
3. 2 papers in English (1 grammar, 1 professional communication). Sometimes 3 papers will be there.
4. 6 papers in Mathematics (sequences, series, linear algebra, complex numbers and related stuff, vectors and 3D geometry, differential calculus, integral calculus, maxima/minima, differential equations, descrete mathematics)
5. 1 paper in Economics
6. 1 paper in Business Management
7. 1 paper in Engineering Drawing (drawing random nuts and bolts, locus of point etc)
8. 1 paper in Electronics
9. 1 paper in Mechanical Workshop (sheet metal, wooden work, moulding, metal casting, fitting, lathe machine, milling machine, various drills)
And when you jump in real life scenario, you encounter source/revision/version control, profilers, build server, automated build toolchains, scripts, refactoring, debugging, optimizations etc. As a matter of fact none of these are touched in the course.
Sure, they teach you a large set of algorithms, but they don't tell you when to prefer insertion sort over quick sort, quick sort over merge sort etc. They teach you Las Vegas and Monte Carlo algorithms, but they don't tell you that the randomizer in question should pass Die Hard test (and then you wonder why algorithm is not working as expected). They teach compiler theory, but you cannot write a simple parser after passing the course. They taught you multicore architecture and multicore programming, but you don't know how to detect and fix a race condition. You passed entire engineering course with flying colors, and yet you don't know ABC of debugging (I wish you encounter some notorious heisenbug really soon). They taught 2-3 programming languages, and yet you cannot explain simple variable declaration.
And then, they say that you should have knowledge of multiple fields. Oh well! you don't have any damn idea about your major, and now you are talking about knowledge in multiple fields?
What is the point of such education?
PS: I am tired of interviewing shitty candidates with flying colours in their marksheets. Go kids, learn some real stuff first, and then talk some random bullshit.

Was recently phone interviewed by a recruiter that asked "So do you know data structures and algorithms?" I replied "That's like asking someone if they know Mathematics - can you be a bit more specific?"

What I learned in the machine learning course so far, all the Buzzwords can be replaced by "statistical mathematics".

"Daddy, whats this daddy ? Is it mathematics, science or english ?"

A physicist, a mathematician, and a statistician go hunting.  They spot a deer, and take aim.  The physicist shoots first and misses 10 meters to the right.  The mathematician shoots next and misses 10 meters to the left.  The statistician then throws down his gun and proclaims, “we got it!”

One day at a doctor who started a small conversation:
Doc: What is your job?
Me: I am a software developer, I write computer programs basically.
Doc: Interesting. How does it work?
Me: Oversimplified you have special languages to tell the computer what to do and then this is converted into a program you can start on your PC. The languages are a bit like basic english (thought of Pascal at this moment).
Doc: So then it is a pretty simple job.

Me thinking: OMFG yes that's why I studied it 6 years, because it's soo easy.

Me thinking at home: Next time tell them that you are a computer scientist and that it is applied mathematics basically. Maybe then they will get a clue of the complexity. 🤔

Story time:

At a precious employer.
Hire shit-hot contractor.
No technical test at interview stage because he’s so shit-hot.
Is a uni lecturer.
PhD in mathematics.

Me: Shit, this guy must be good!

6 months later and a tragedy of errors and clearly misspent company funds later:

Manager: can you look at what x did and merge it into the product?

Me: Sure. *looks* *yells fuck very loudly*

*walks over to manager*

“Soooo... you know those 6 months and thousands and thousands you spent? It’s all for nought. There’s barely anything there, and none of it works.”

Manager: “Shit. What are we going to do? Can you fix it?”

Me: “To be honest, it would be quicker to just do it from scratch than try to work out what he’s done and failed to do.”

Manager: “Fuck. Ok. Go for it.”

I then had to build this entire new lot of systems, a workflow system, a user management and permissions system.

I got it done inside a month or so.

For context, we (the devs) knew something was afoot when the contractor couldn’t work out why his keyboard wasn’t working (it wasn’t plugged in), and he also *really* struggled to find his way around visual studio and git.

The moral of this tale? *always always* screen your candidates. Even if they seem amazing on paper.

Got a call from Google!

Asked for two months to study: Discrete mathematics, Calculus, introductions to algorithms, design patterns, CTCI and linux/unix OS workings in general.

I know I'll be banging my head against the wall and I don't have my expectations too high. But regardless I feel like this is a good excuse to speed up my studies and push myself in the direction I want to go already. It'll be a win-win even if I don't land the position because I'll definitely gain a ton in the process of preparing.

I will be expose to all of this material (except for calculus because I've been learning it for a couple of months) for the first time so I know it'll be a challenge and I am looking forward to it.

If any of you have any tips on good study habits that'll be much appreciated; I currently like to read most of my material and supplement with videos/tutorials... Khan is great but they lack material on discrete mathematics unfortuantely. Thanks in advance!

Wish me luck (:

Does anyone else despise buzzwords? A little background. I am a senior dev with a government organization who works in machine learning. As everyone knows, AI is the hottest of the hot now. Thus, everyone believes that they need it.

Long story short. I had a "requirement" come down to develop an "AI" algorithm that totaled all of the hours that a device was used last month. I explained to them that they weren't looking for "AI" and instead they needed rudimentary mathematics and a touch of Business Analytics for visualization. When they finally understood, they told me "nevermind, we just want to get into AI"...

"Don't study computer science, study mathematics, you'll thank me later."

This F***ing government college faculty crossed my complete answer of a F***ing bubble sort in 3rd year of Mathematics & Computing by saying and I quote, " Why is this i loop inside of j loop?" and after getting again on my feet after listening and understanding this absurd statement, I tried to explain to which he asked ne to show any book where it is written like this.

To i loop and j loop he meant the variable name in for loops, 🤬🤬🤬🤬
these f***ing reserved government professors in elite institutions like IITs

Rant about a german problem in english

I think we as the people should just sue the german government for neglect of progress and neglect of the education system. If your not familiar with the state of german IT we have worse internetspeeds than uganda or the notoriously shitty australia, our neighbourstates look at us in disbelief while laughing in optic fibre. Our school system seperates all students after 4th grade in 3 tiers, the lowest one gives you the future perspective as a social security case. The second and highest tier require masses of useless knowledge, so called "competences"(Kompetenzen) which are totally useless skills with no real world application because they are derived from real skills, a median ground between all possible applications of that skill. And while doing that they terribly insist on doing everything the "proper" way, meaning handwritten. Most people you would expect to have basic computer literacy, meaning age 40 and below, are incapable of using basic functions of a non-smartphone computer and do not understand the slightest of what they are actually doing or supposed to do. And I mean nothing technical. Germans are the reasons they still put word as a job requirement for devjobs because this disqualifies half of our population. This leads to many people having the archaeic "we versus the machines" mentality, thinking that if they ever let the computer do parts of the job, they will then lose all of it to the machines. Thats why you never strive past basic mathematical principles in mathematics, which is a big misnomer because you never do actual mathematics, only calculating and basic calculus and statics. If you get to use your calculator, its some basic casio with no actual functionality then standard operations. And even using that is shunned upon. How is this country ever supposed to become something more than it was in the 90's, if we teach people nothing of use and kill all progress in its root.

When you Valgrind your program for the first time for memory leaks and get "85000127 allocs, 85000127 deallocs, no memory leaks possible"

I've optimised so many things in my time I can't remember most of them.

Most recently, something had to be the equivalent off `"literal" LIKE column` with a million rows to compare. It would take around a second average each literal to lookup for a service that needs to be high load and low latency. This isn't an easy case to optimise, many people would consider it impossible.

It took my a couple of hours to reverse engineer the data and implement a few hundred line implementation that would look it up in 1ms average with the worst possible case being very rare and not too distant from this.

In another case there was a lookup of arbitrary time spans that most people would not bother to cache because the input parameters are too short lived and variable to make a difference. I replaced the 50000+ line application acting as a middle man between the application and database with 500 lines of code that did the look up faster and was able to implement a reasonable caching strategy. This dropped resource consumption by a minimum of factor of ten at least. Misses were cheaper and it was able to cache most cases. It also involved modifying the client library in C to stop it unnecessarily wrapping primitives in objects to the high level language which was causing it to consume excessive amounts of memory when processing huge data streams.

Another system would download a huge data set for every point of sale constantly, then parse and apply it. It had to reflect changes quickly but would download the whole dataset each time containing hundreds of thousands of rows. I whipped up a system so that a single server (barring redundancy) would download it in a loop, parse it using C which was much faster than the traditional interpreted language, then use a custom data differential format, TCP data streaming protocol, binary serialisation and LZMA compression to pipe it down to points of sale. This protocol also used versioning for catchup and differential combination for additional reduction in size. It went from being 30 seconds to a few minutes behind to using able to keep up to with in a second of changes. It was also using so much bandwidth that it would reach the limit on ADSL connections then get throttled. I looked at the traffic stats after and it dropped from dozens of terabytes a month to around a gigabyte or so a month for several hundred machines. The drop in the graphs you'd think all the machines had been turned off as that's what it looked like. It could now happily run over GPRS or 56K.

I was working on a project with a lot of data and noticed these huge tables and horrible queries. The tables were all the results of queries. Someone wrote terrible SQL then to optimise it ran it in the background with all possible variable values then store the results of joins and aggregates into new tables. On top of those tables they wrote more SQL. I wrote some new queries and query generation that wiped out thousands of lines of code immediately and operated on the original tables taking things down from 30GB and rapidly climbing to a couple GB.

Another time a piece of mathematics had to generate all possible permutations and the existing solution was factorial. I worked out how to optimise it to run n*n which believe it or not made the world of difference. Went from hardly handling anything to handling anything thrown at it. It was nice trying to get people to "freeze the system now".

I build my own frontend systems (admittedly rushed) that do what angular/react/vue aim for but with higher (maximum) performance including an in memory data base to back the UI that had layered event driven indexes and could handle referential integrity (overlay on the database only revealing items with valid integrity) or reordering and reposition events very rapidly using a custom AVL tree. You could layer indexes over it (data inheritance) that could be partial and dynamic.

So many times have I optimised things on automatic just cleaning up code normally. Hundreds, thousands of optimisations. It's what makes my clock tick.

I love it.
I'm a geek, and a nerd,
I love everything that computers,
I love electronics, physics, even mathematics,
I love thinking, solving problems, learning new things.

And programming is all of those combined, I love it with a passion.

On highschool I took a special major in which we learned various computer and mathematics skills such as neural networks, fractals, etc.
One of the teachers there, which for me was also a mentor, is a physician. He taught us python which he didn't know very well (he wasn't that bad either) and science which was his true passion.
My end project was to try to predict stocks market using a simple neural network and daily graphs of 50 NSDQ companies. The result reached 51% prediction on average which was awful, but I couldn't forget the happinness and curiosity working on this project made me feel.
Now, 5 years later, I have a Bsc and finishing a Msc in Computer Science, and would sincerely want to thank this mentor for giving me the guts and will to accomplish this.

math be like:

"Addition (often signified by the plus symbol "+") is one of the four basic operations of arithmetic; the others are subtraction, multiplication and division. The addition of two whole numbers is the total amount of those values combined. For example, in the adjacent picture, there is a combination of three apples and two apples together, making a total of five apples. This observation is equivalent to the mathematical expression "3 + 2 = 5" i.e., "3 add 2 is equal to 5".

Besides counting items, addition can also be defined on other types of numbers, such as integers, real numbers and complex numbers. This is part of arithmetic, a branch of mathematics. In algebra, another area of mathematics, addition can be performed on abstract objects such as vectors and matrices.

Addition has several important properties. It is commutative, meaning that order does not matter, and it is associative, meaning that when one adds more than two numbers, the order in which addition is performed does not matter (see Summation). Repeated addition of 1 is the same as counting; addition of 0 does not change a number. Addition also obeys predictable rules concerning related operations such as subtraction and multiplication.

Performing addition is one of the simplest numerical tasks. Addition of very small numbers is accessible to toddlers; the most basic task, 1 + 1, can be performed by infants as young as five months and even some members of other animal species. In primary education, students are taught to add numbers in the decimal system, starting with single digits and progressively tackling more difficult problems. Mechanical aids range from the ancient abacus to the modern computer, where research on the most efficient implementations of addition continues to this day."

And you think like .. easy, but then you turn the page:

Well, I just learned how much of a pain it is to learn the math for learning neural networks. I really should have paid more attention in high school.

I will learn, the hard way I guess...

I found university very worthwhile, mainly for what it exposed me to that I wouldn’t have necessarily learned otherwise. University exposed me to a lot of knowledge which allowed me to discover the fields and concepts that really interested me. It also forced me to learn math, and I’ve come to really love mathematics, even though my knowledge is still not that deep. I really respect and appreciate math now that I have more than a superficial understanding of it.

CS-wise, the things that have been most useful in practice have been complexity, data structures, concurrency, and others, but complexity is probably the absolute most important thing to at least learn the basics of.

I would not say that university is a necessity though. You can absolutely get by teaching yourself, especially if you are disciplined/interested enough to keep doing it. The important thing is to learn *what* to learn.

Teaching my little sister Mathematics (Grade/Class 12. Not at all easy).

And I can really understand the textbook definitions in the chapters. Back then, I never understood a single line of it.

Am I a more sound mathematician now or reading poor documentations has improved my skill to read complex and minimal contents!

People who don't like mathematics have never actually studied the subject.

Discrete mathematics teacher said "13*37" in the middle of an Euclidean algorithm.
Half the class giggled and the other half just sighed.

These students are your future co-workers.

I wrote a Blender plugin that uses vector math, matrices, calculus, trigonometry, and likely other types of math. There's recursion, filesystem access, image processing, interface logic, and on and on.

And worst of all - other people are expected to use it, so there's added pressure to do a good job.

Oh, the hours I spent trying to figure out why the imported geometry looked like an exploded mess. Fumbling around with mathematics I didn't fully understand was exhausting. Finding help was impossible at times because I didn't have the vocabulary to even describe the problems I was having. And getting it to complete an import before the heat death of the universe was not easy.

Every time I made progress and thought I was done, I would discover a bug that other importers didn't have, leaving me to sift through languages that definitely aren't Python to see if I could reverse engineer the logic they used.

I almost gave up a few times, but didn't.

Now I have something that, while not used by many people, works very well, is very efficient, and doubles as a palette cleanser when I need to do something for fun or for a challenge. Plus I learned a lot along the way.

I feel so empty.

I can't keep up with what is being teached to us in the mathematical courses. Everything else is fine. "Algorithm and data structures" aka Info A (Programming in C++) and "Computer engineering" aka Info C (details of how a CPU, RAM etc. works) is understandable, but when it comes to math I, completely, am lost.

2-4 hours drive to university and 2-4 hours drive back to my home each day. Two oral examinations each week in Info A and Info C. Three assignments in Info A, Info C and math.

I was so naive to believe that I would be more free and have more free time as a student haha.

Maybe I should switch to a university of applied sciences. The classical university is too theoretical for me, but in the same time I know that I can't keep up with the time when I have to build a circuit in the university of applied sciences.

I am able to design and build a circuit, but I am slow. Probably because I am checking many times if I did it properly before testing it.

To my fellow German devRanters who have studied or tried to study: You all just read my situation and my thoughts. Am I wrong about what I am thinking about a university of applied sciences? How are the mathematical courses there in terms of difficulty?

If mathematics is at the same difficulty, I will try to do something else that has nothing to do with college. It just won't get into my brain.

Hey DevRant fam ❤️ hope everyone is doing well ! I just finally finished this extremely difficult semester and also my FINAL EXAM!!! no more exams but Projects!! honestly guys and gals this has been my toughest semester yet apart from the time I failed Discrete mathematics twice... and i feel as if i have done well 😁👏🏻.

Anyways guys i hope you’re all doing amazing Wherever you may be!

Kind regards
The Kind King himself
Milo 🥂

My worst experience ... and best, was when the company I worked for sent me to teach OOAD to the faculty of the Mathematics and Computer Science department of a University in Pennsylvania. There I was, a guy with no degree teaching a group of PhD's the fundamentals of OOAD. Imposter Syndrome? You bet. Nervous? Yes. My mouth felt like it was filled with cotton, and when I picked up a cup of water on the first day, I had to put it back down because my hands were shaking so badly. I could handle a room full of developers, but for me, this was a whole other league. As it turned out, the professors had a blast, and gave me great reviews, but that first day of a five day class was a doozy. After that, I knew I could handle anything.

// First rant
currentUser.Post(new Rant("

Quick question here, not a rant (sorry).
I heard that you need a lot of math knowledge to become a developer. Is this really true? I don't see where the math comes into play while programming (especially complex stuff). I've been studying C# for quite some time (few years) and I consider myself fairly good at it.

Never came across the need to use !basic mathematics in my projects.
I know that to study computer science at an university requires a certain result in maths, but is that all you need math for? Getting into uni?

Could somebody explain this for me? I'd really appreciate it.", "maths,university"));

Shit man if I thought that S.O for developers was bad.....Stack Exchange Mathematics is just fucking brutal omg I am loling so bad man these dudes have 0 patience and will legit kill trolls on spot.

Saw a dude not agreeing with implicit meanings behind certain symbolic notations, some other dude disagreed, fight ensured.

This shit is awesome. Ima stick with this shit for a while.

S.O still fucking sucks though. The stack is amazing and the app works fantastic. The people there are shitty beyond belief.

"Well, you probably said that beca...." fuck off

Got a mathematics library I develop and maintain. Someone filed a feature request ticket for matrices of matrices. As in, each value of the primary matrix is another matrix. Not understanding why anyone would need such a convoluted concept, I asked for clarification.

Response: "This piece of shit library isn't feature complete without it, now stop being a lazy fag in your mother's basement and actually do something"

Lololololol. Sure thing. Let me go waste two or more weeks of my life developing something i've never seen used in math, without any justification beyond "feature".

Our IT-Class project: Mathematics trainer in Java
Day 1 (was monday)

TL;DR we didn't save.

So we formed groups and I landed in the UI team with, let's call him Mage and let's call her Goth.

We had an eclipse project folder on our desktop (they said it only works when put on desktop) Btw they didn't even want to use a cloud or something (I wish we'd use git and I'd finally learn it). We should take the changes by USB from computer to computer.

So me, Mage an Goth are making a basic GUI for this Mathematic-Training App. We use this thing from Eclipse but I forgot the name. It has not enough functionality on surface and I hate things that break complex things up to ease things but leave away so much.

So after a productive hour of building a GUI and centering shit by calculating the top and bottom distance and use margins (hurts me really but Mage was designing, Goth intensively calculating on paper), the bell rings.

Mage wants to save the project on my USB-Stick and bamm💥
A black screen.
I don't know how it happened but it sure had something to do with the USB-port looking like you fucked it with a way to huge🍆. It looked damn broken.

So because we have a nice App called HD-Guard, which fucking wipes the desktop on startup and resets all but the documents/images/videos/music folder —

It's all's gone. Today is day 2 of this project so let's see how today turns out.

When you get hit by all the Mathematics in this world😵

If there is 2 books you should read before trying to tackle TAOCP... this might be on it.. as well as the Concrete Mathematics book.

Anyway. This book covers not just the fundamentals of modern algorithms and data structures but it also makes the leap to understanding multithreading and algorithms using multithreading.

Some argue the certain concepts in this book are presented without explanation of how they work, but I guess that should be something the reader try’s to figure out from another book or constructive thinking critically. Keeps the reader on their toes for understanding.

This is also the reason many people suggest the sedgewick algorithm books, of which will be posted another day.

Software engineering is slowly being lowered to a basic skill to please corporations that literally want you to automate your job away. The only fruitful areas of software engineering that I can see being relevant in the next 10 years are those mixed with other hard sciences such as bioinformatics, robotics, bleeding edge statistics and mathematics (AI research), physics, etc. The trend I see right now is that software engineering is being integrated with business-oriented degrees or arts degrees, targeted programs towards beginners offered for free or low prices. There's going to be a higher barrier of entry for the jobs that are actually worth the stress and I'm praying I'll be able to catch the train before it leaves the station.

Hey guys, I have a serious question for you: How do you define science?

And yes this is going to be a long Rant. This topic really pisses me off.

A bit of context first. I come from a "humanities" background. I study history and dude, I love it. The problem is that even though we fucking pull our brains out studying historical phenomena with a fucking ton of conceptual tools, our work is mostly seen as literature to entertain the elderly during their lonely evenings. But that's not really the point of this rant.

My fucking problem is that while we try to do some serious work; actual work that could help society for real, it all goes into that magical fucking kingdom called "humanities". HOW THE FUCK DO THEY DARE TO CALL SOMETHING "HUMANITIES". IT'S A FUCKING HISTORICAL TERM THAT MEANS "TO FULFILL MEN IN ALL IT'S ASPECTS", AND NOW THEY'VE REPURPOSED IT, MAKING IT CONTAIN ANY STUDY THAT ISN'T "EMPIRICAL", "OBJECTIVE", ADD ANY FUCKING SCIENTIFIC DELUSIONARY TERM YOU CAN THINK OF.

And don't get me started on "objectivity". Oh boy, your fucking objectivity is hollow as a kid's balloon. There is no such thing as a objective study, even when it applies your "rational" "godly" scientific method. Some guys follow that shit as if it was a fucking religion. I do understand it's useful and all that, but in the end it's just a tool, you can't fucking define "science" by it's tools.

"""Q: What is carpintery?
A: Well, it's hammers, nails and wood. Yep. Hammers, nails and wood."""

THE SCIENTIFIC METHOD WAS FUCKING INVENTED DURING THE XVIII CENTURY, WHAT THE FUCK DO YOU THINK WAS GALLILEI BEFORE THAT? "HUMANITIES"?

Why do I say objectivity isn't posible? Well, guess what? YOU ARE FUCKING HUMAN. Every thing you know is full of preconceptions and fucking cultural subjectivities invented to understand the world. And it's ok, becouse if you understand your own subjectivity, at least you can see yourself in a critical sense, and at least "tend" to objectivity, in the same way functions tend to infinity.

And here comes the best part: people studying "cs" in my university pass most of the time studying a ton of shit that isn't really science, but is taken as scientific becouse it is related to "science". These guys spend entire semesters just learning programming fundational stuff that in my opinion isn't really science, it's just subjective conceptual constructs built to make the coding process better. They only have TWO fucking classes on discrete mathematics and another 3 or 4 in actual scientific fields related to computing. THESE GUYS AREN'T FUCKING BEING TAUGHT TO BE COMPUTER SCIENTISTS; THEY ARE TEACHING THEM TO BE PROGRAMMERS. THERE'S A HUGE DIFFERENCE BETWEEN CS AND PROGRAMMING AND THAT IS THE WORD SCIENCE. And yes, I'm being drastic on the definition of science on purpose becouse guess fucking what? I'M PISSED OFF.

"Hey, what are you doing?"
"Just doing science with scrum and agile development."

I understand most of you guys would think of science as "the application of the scientific method", "Knowledge by experimentation and peer-review", "anything techy". Guys, science is a lot broather than that. I define it as "the search for truth", mainly becouse that's what we are all doing, and what humans have been doing to gain knowledge through the ages. It doesn't matter what field of truth you are seeking as long as you do it seriously and with fundaments. I don't fucking care if you can't be objective: that's impossible. Just acknowledge it and continue investigating accordingly.

I believe during the last centuries the concept of science has been deformed by the popular rise of both natural and applied sciences. And I love the fact that these science fields have been growing so much all this time, but for fucks sake don't leave every other science (science as I define it) behind. Governments and corporations make huge mistakes becouse they don't treat history, politics and other sciences seriously. Yes, I called history a "science", fuck you.

And yes, by my definition programming is not a science. I don't know what most of you think programming is, but for me it's a discipline that builds stuff, similar to carpintery or blacksmithing. Now if you are pushing the limits, seeking ways to make computing go further, then that's science. The guys that are figuring out AI are scientists, the guys that are using it to detect hotdogs aren't - unless they are the same person- deal with it. I guess a lot of you guys are with me on this point.

In the end, we are all artisans building abstract tools by giving orders to a machine.

I still have some characters left, so I want to thank the community as a whole for letting me vent my inner rage. I don't have much ways to express myself on these matters, so for me DevRant is a bless.

We have this one professor in a mathematics course.
He sits there having no plan of what he's doing. He literally opens his python Jupiterbook with latex enabled, writes a complex equation and tries to solve it in 10 minutes. Makes mistakes every few steps and deletes his formatted equation that isn't even interpreted yet (we see the cdot etc. instead of * which makes it even harder to read). Every few minutes some student corrects him and he deletes it again.

Why can't you just think first and then write and try to teach us?
Use as much time as you want as long as you don't have to keep reverting back the humanly unreadable latex equation.

Hell, you are also allowed to use a basic pen and paper. Trust me, that shit is more readable, even if you have a bad handwriting, than your squeezed in complex untranslated latex equation in Jupiterbook.

Btw. he also streams with no zooming in I might add.

Am I supposed to trying to read your small as shit, focus on what you're teaching while you keep making mistakes or write it down on paper and practice the given tasks?

On top of that, he records the zoom conference but he doesn't share it anywhere on the college forum so that people who have missed it can download it and rewatch it.

Everything he does makes no sense. How did he become a mathematics professor with a PhD?

A couple of days ago, an individual attempted to convince me that the National Security Agency is capable of cracking Rijndael encryption; as a response, I informed the individual of the infeasible nature of the factoring of extremely large semiprimes; however, my attempts were futile, as the individual believes that NSA possesses sufficient power to crack this encryption without intercepting the transmission of the corresponding private key.
The Dunning-Kruger effect is real; although this individual tends to be logically-minded, there does exist an exception to this good behaviour.

"It is easier to square a circle than get 'round a mathematician."

Does anybody know a course on machine learning with python that doesn't need that much mathematical knowledge? Because in every course I find I need to know advanced mathematics yet I am still in grade 10 and haven't studied it yet.

We'll build an mathematics-6th-grader-calculation-game in IT-class. ("Math-Tetris")

In Java.

I hate Java.

I started with C#at the age of 12, it was way too complicated and I learned Lua for Computer craft instead. Next I learned Ruby for RPG Maker and finally Javascript for web Dev stuff.
Now comfortable enought with Javascript but put off by its quirks I learned Java for compiling faulty minecraft mods, but I only fully learned it in school.
At the same time I learned python and quite liked it for scripting, but ultimately it was not a good match for my projects.
Disapointed with Java I returned to C# and liked it quite a lot, but started learning C++. After touching my first Microcontroller I learned C and I've stuck with it as my favorite language.
Along the way I picked up Kotlin, in case I need to do some Java shit. Much better.
But how did I come to an understanding of programming. Well I got better after each time I got a layer deeper until I hit silicon.
I had tinkered with electronics since I was 15 so I just had to study some boolean mathematics in school and some vintage computers architecture and instruction sets and...
Then I finally understood how that shit I wrote in Lua way back when was actually executed by my hardware.

Allways dig deeper and you'll find enlightenment eventually.

How ignorant we all are about the world. It's not necessarily a bad thing, just a fact. After a four year degree I've learnt so much, how a computer works from the physical phenomena on the hardware level to the inner workings of an OS to the highest level abstractions of modern web development, a wide array of programming languages covering several different paradigms, mathematics from calculus to statistics to algebra, how to work with databases, how to administrate a server, how to build a website, and much more.

And that's just in a degree. I have knowledge in one domain and I wouldn't even call myself an expert in it. Medicine, physics, biology, the hundreds of branches of engineering from civil to nautical to aerospace to automobile, to geology to meteorology to astronomy, to the practical application of this knowledge in hundreds of trades. There's so much more to know in so much depth and only recently have I realized how little we all know on an individual level.

Finding this out has been a mixed bag, on the one hand it's made me value what I know and what others can teach me a hell of a lot more, on the other, knowing that people haven't realized this and adamantly discuss and impose from a position of ignorance isn't very nice.

tl;dr I know that I know nothing

Testers in my team have been told like 1000 times to follow the style guides that we all follow. That's not that big a deal. The big deal is that they were put on this project without having any mathematics background when the project is all about geometric stuff. So after me as a developer having to put so many hours to explain to them why the tests are not covering the requirements or why the tests are red because they are initializing the data completely wrong, I ask them pretty please to do the checks for the coding style and I have already been 4 hours reviewing code because not only I have to go through the maths and really obscure testing code to ensure that the tests are correct, but every line I have to write at least 4 or 5 style corrections. And some are not even about the code being clean, but about using wrong namespaces or not sticking to the internal data types. For fuck shake, this is embedded software and has to obey to certain security standards...

Does anyone else think discrete math is super satisfying? I love it so much more than algebra or Calc

Back when I was still in school for comp sci we had an advanced software engineering and design class with c++. At this time, everyone was expected to be proficient enough with cpp to go ahead and properly work with whatever the instructor would throw at us. And pretty much everyone was since past classes included a lot of c++ development. Of course, efficient at least related to academic studies rather than actual real world development.

Our teacher would mix in a lot pf phyisics and mathematics into what we were doing, something that I greatly enjoyed, while at the same time putting real world value concerning cpp best practices to avoid common pitfalls in the development of said language. Since most bugs seemed to be memory based he would be particularly strict about that.

One classmate, good friend and an actual proper developer now a days would ALWAYS forget to free his resources...ALWAYS for whatever fucking reason he would just ignore that shit, regardless of how much the instructor would make a point on it.

At one point during class on a virtual lecture the dude literally addressed a couple of students but when he got to my boy in particular he said: "you are the reason why people are praying to Mozilla and Hoare to release Rust as fast as possible into a suitable alternative to high performant code in C++, WHY won't you pay attention to how you deal with memory management?"

And it stuck with me. I merely a recreational cpp dev, most of my profesional work is done on web development, so I cannot attest to all the additional unsafe code that people encounter in the wild when dealing with cpp on a professional level.

But in terms of them common criticisms of C and C++ for which memory is so important to work with, wouldn't you guys say that it comes more from the side of people just not knowing what they are doing rather than a fault on the language itself?

I see the merits and beauty of Rust, I truly do, it is a fantastic language, with a standardized build system and a lot of good design put into it. But I can't really fathom it being the cpp killer, if anything, the real cpp killers are bad devs that just don't know what they are doing or miss shit.

What do y'all ninjas think?

My dad celebrated his birthday, I've decided to play with the decoration on the table

Is the way people solve problems intrinsic to the native language they learned growing up? Can the shape of our thoughts be optimal for solving certain kinds of problems? Like sentence structure, grammar, etc.

If the pattern of thoughts a language promotes can help us solve problems. Then is there a spoken language that can help promote solving computer science problems?

I know I have to work to think differently to program in different styles of programming. I wonder if we can learn from different spoken languages patterns of logic that are applicable to engineering.

Mathematics, while not a spoken language, has helped me re-frame things in programming. I think programming has also helped in other areas. Like using binary search to find the end of a pipe in the ground.

For context, I've been working for a couple years now with Rust, and, I have to say, the experience has been astoundingly pleasant. The language is both incredibly productive and meets each of my use cases and stipulations regarding speed, safety, and complexity. That said, I've come to beg the question, "what is the point of functional languages like Haskell?" To me, what seems attractive about Haskell is the inherent thread safety, and the added syntactic niceties of code written in the language. However, one must keep in mind, my experience with Haskell has been pretty limited, simply due to the massive learning curve that the language presents. Such a "learning curve" brings me to my central point: these days with languages like Rust which bring together the best from functional and imperative worlds, it seems like functional languages are becoming increasingly irrelevant. Let's face it: no sane person will choose to learn a functional language as their first language, outside of academia and mathematics, and OOP/OOP-like languages remain dominant in the space. So, why then, is Haskell any different? What benefit do languages like Haskell pose in the modern CS space that thread-safe, non-GC languages don't already provide?

I actually only started programming a little less than two years ago. I entered my freshman year of college as a mathematics major, but as time went on I ended up enjoying coding in C++ much more than trying to work out partial equations.

I have since become fascinated with many aspects of computer science, mainly web development and systems programming (I discovered Linux and the command line only a year ago and I'm practically in love). I've since been working for a couple fairly new startups with duties from developing a mobile native app in AngularJS/Ionic to migrating content to new servers and developing custom themes on WordPress. I have deep, deep aspirations of eventually being employed by Google as a Senior Software Dev (although I'd definitely prefer working for a company that would allow 100% remote work 😁). I've even finally began developing my own projects, ranging from a URL shortening service to a basic online encyclopedia.

I wanna spend the rest of my life doing this shit. Hell, I hope I die at my computer.

I love mathematics so I love programming.😃

I was wondering !
As a computer geek I would like to know everything from mathematics to programming , robotics and machine learning but as I go , new technologies appear and it's
just like an endless while loop!
I don't mean I wanna stop learning new things but just looking for a more effitient way for doing this!

Any idea about this?

Year 7 maths in 1984 - the teacher had a computer and showed us some BASIC commands to do mathematics.

I was spellbound. That year my father also bought a Commodore 64 for the family and I gravitated towards it. I typed program listings out of magazines and learnt programming almost by osmosis.

I absolutely hate software to the point where I started converting from sysadmin to becoming more like a dev. That way I could just write my own implementations at will. Easier said than done, that's for sure. And it goes both ways.

I think that in order to be a good dev, you need these skills the most:
- Problem solving skills
- Creativity, you're making stuff
- Logical reasoning
- Connecting the dots
- Reading complex documentation
- Breaking down said documentation
- A strong desire to create order and patterns
- ...

If you don't have the above, you may still be able to become a dev.. but it would be harder for sure, and in some cases acceptance will be lower (seriously, learn to Google!)

One thing I don't think you need in development is mathematics. Sure there's a correlation between it and logic reasoning, but you're not solving big mathematical monsters here. At most you'd probably be dealing with arrays and loops (well.. program logic).

Also, written and spoken English! The language of the internet must be known. If it's not your first language, learn it. All the good (and crucial) documentation out there is in English after all.

One final thing would be security in my opinion, since you're releasing your application to the internet and may even run certain services, and deal with a lot of user data. Making those things secure takes some effort and knowledge on security, but it's so worth it. At the most basic level, it requires a certain mindset: "how would I break this thing I just made?"

Servey Question.

How many you programmers have a working knowledge of how compilers work? The philosophy and mathematics behind them. Different stages. The choices one might have to make at different stages. Reasoning about the said choices. Difference between different paradigms -- philosophically and implementation wise. The tools one might use.

Reason behind I'm asking this is that I got into a debate with a friend where he said 9/10 of people whom we call "developers" have little to no idea how compilers work.

I saw a project's codes with some Mathematics formula and stuff..

I felt really dumb..

When I was taking a programming course as a Mathematics prerequisite, and then object oriented programming basics (inheritence, interfaces specifically) all just clicked at once. Immediately decided I was going to pursue the computer science major instead of math.

What paradoxes taught me.

Perhaps each time a paradox is encountered in mathematics, there is a useful distinction or mathematical tool hiding in plain sight, one that hasn't be discovered or utilized. For cursory evidence I give you: division by zero, the speed of an arrow at any point in flight, and calculus.

Maybe this isn't true for some paradoxes, or even most, but as time goes on I suspect people will discover it is more true than they might have thought.

Undefined behavior and results aren't nonsense: They look to me like golden seams to be explored for possible utility when approached from uncommon angles with uncommon problems.

I hate having to learn stuff for school while actually wanting to learn other things instead. Last semester I preferred the latter, but that got me a bad math grade, which in turn means that I have to actually study for mathematics for the first time in my life in order not to fail the whole year because of one grade.

So I have to delay learning Golang and trying out the Spring framework.
Goddamn it.

1 is Legendre's constant (1.08366 would be better)

Do you think one may become a good programmer or coder without excellent knowledge of mathematics or algorithms?

I love my gf but she can't talk code, or mathematics etc... What do I do? She refuses to even try becoming interested.

You know what's bullshit? CS Degrees as a requirement, even for the shittiest dev jobs.

Sorry fuckers, I don't feel like killing myself over fucking math bullcrap for 3 goddamn years just to work as an intern slave for some rich CEO who prefers to hire some guy who doesn't know shit about actual working with computers but has a degree.

And this horseshit happens only in dev jobs. Why. Are devs some fucking nuclear scientists or something? I work as sysadmin and they didn't ask me for any shit degree and I earn more than the average code monkey where I live.

Goddamn HR fuckers. May Allah take you to hell.

!story

I finally joined uni. With all of its fucking bureaucracy. But I love the feel I get being there with people I know wants same stuff as mine. I picked Math.
It's equally ambitious and crazy as 1) My previous school didn't prepare me at all, (not even limits for fuck's sake) 2) it has given me an antidepressant boost, but I'm also a person that yes goes on anyway but at the first difficulty I second guess my own ability in first place to overcome what's ahead (so, depressive rebound). 3) I have dyscalculia and adhd. Lucky me, not the kind of dyscalculia that makes you unable to grasp logic, it's more like I can't do calculations in my head and 8x7 is HARDER to me than explain graph theory or some stuff about riemannian geometry.
What did you all feel when you went to university? Because I'm feeling a lot ignorant, but worse, stupid, very stupid.
Any advice?

I study both mathematics and computer science at Delft university. There's a difference between the approaches these two studies have.
Mathematics is usually about going to lectures, learning complicated stuff there and then using the obtained knowledge in a exam at the end of the course.
The CS courses are kore about engineering. They have practicals way more often than the math courses and the exams usually are of les importance.

It feels as if the "academic level" of the CS courses is lower. In math, we learn the real deep, abstract matter, while CS is more about "tinker up something nice in the practicals and you'll be fine."

I'm not sure if either approach is better, but I'm sure I like the maths version more. The CS approach is more HBO-like (HBO being the lower-level universities)
It is even that, generally speaking, the people who study maths seem more serious about studying than the cs people.
Not all of them, and no offense meant, just an observation.

Well, that was not really a rant. If you read up to here, I'm curious what you think about this.

Here's my idea. In light of all the efforts to teach kids how to do programming, why not start with an introduction to discrete mathematics instead? From a lot of the programs I've seen, the kids are taught different structures such as if else, while, and for loops, but they don't attempt to start teaching them about recursive methods or even other structures such as linked lists, queues, dequeues, binary trees, heaps, different sorts, and other things. Am I just not looking deep enough into those programs? Or are the creators of these programs not wishing to cover those things because they feel like children wouldn't be able to comprehend such things?

New book arrived

When My ISP think I don't know math

NO FUCKING WONDER I SUCKED-ASS IN HIGH SCHOOL ALGEBRA!!!!!

Arghgghhghgh ughhh....

I want to beef up the hell out of my Maths Chops so I can maybe try going back to school for a A.S. in EE or hell even an B.S.

I'm using my company's Safari Learning account for getting free-ish access to college algebra books and I'm self studying.

I'm still in Chapter 0 where the book covers shit you're supposed to know from previous years of education. I'm just learning about some of this shit now!!!

While it's possible that I didn't pay attention in high school lectures, I took geometry in 9th grade and was an A/B+ student and felt confident in maths. I got to Algebra II in High School and suddenly nothing made sense anymore, reality fucking-fell-apart!

Suddenly, I'm failing tests left and right and struggling with the lecture concepts and I could never seem to grasp materials covered in class anymore to even be able to finish the homework assignments.

Fast forward to me being 15 years older and wanting to take a stab at this shit again, but with new found determination to get into EE so I can fuck around with small electronics for pet projects I want to do. I'm starting with College Algebra to try and learn when suddenly, low and behold I have a HUGE FUCK-MOTHERING GAP in my core understanding of the language/syntax/grammar of mathematics.

Been fucking knee-capped for the last decade+ because I either slacked off during those fundamental lectures (which again; is totally plausible) or I had a complete fucking imbecile for a math teacher that glossed over the topics and fucked not only me but the 40+ other kids in that class.

I'm not going to blame the teacher, although I really fucking want to, but I can't remember how the class scored on tests or homework to be able to fairly and objectively make that judgement against the educator.

FUCK!!! I hate my 15 y.o. self right now

I'm curious, how many of you ranters out there studied Math at an advanced level to become proficient at programming? Is there a particular field of Mathematics that would improve my programming skill?

Context: I come across a lot of Math I don't understand/never encountered when researching topics such as encryption, hashing, geospatial data handling and randomness. Was wondering if I missed out on some key learning that would make these topics a lot less mysterious. Also, I overheard someone coming up with a mathematical formula to base an algorithm on. I don't think I've ever come up with algos this way.

My math teacher.

Simple story: His way of teaching was like bible study - he dictates the mathematical rules, the students had to write it down _exactly_ as told.
(Yes. He even dictated spaces / newlines / ....).

Had him for many years....
Since I was the rotten apple in class (I was always very weak regarding math), he had joy in mobbing me specifically.

It was one of the reasons I never thought about programming at all - or to be more precise, I _feared_ programming since everyone told me it would require intense knowledge of math.

Well. Fast forward. I went to university despite my fear, just because I was too stubborn to prove my math teacher right.

He was one of the counseling teachers too - and he made _very_ clear that I would fail in _anything_ regarding mathematics job wise.

I failed university, yes.

I gave up simply because I was too bored to learn and replay stuff by heart you'll certainly never need to remember your whole life.

Math played a role, too. Since I lacked the whole mathematical background, I barely passed the tests (mostly by a point).

But thanks to a lot of friends I learned that mathematics is helpful for programming - but not a must.

After giving up university, I started an apprenticeship.

And while I dreaded the decision for a long time, I couldn't be more happy about it.

I work with statistics/data analysis and web development. I study these subjects for almost a decade and now I have 4 years of practical experience.

This information is on my LinkedIn profile and from time to time tech recruiters contact me wanting to have an interview. I always accept because I find it a great way to practice interviews and talking in English, as it isn't my native language.

A remark that I always make to my colleagues wanting to start doing data analysis related work is that it may seem similar to development, but it's not. When you develop, your code work or not. It may be ugly, it may be full of security problems, but you almost always have a clear indication if things are functioning. It's possible to more or less correlate experience using a programming language with knowing how to develop.

Data science is different. You have to know what you are doing because the code will run even if you are doing something totally wrong. You have to know how to interpret the results and judge if they make sense. For this the mathematics and theory behind is as important as the programming language you use.

Ok, so I go to my first interview for a data science position. Then I discover that I will be interview by... a psychologist. A particularly old one. Yeah. Great start.

She proceeds to go through the most boring checklist of questions I ever saw. The first one? "Do you know Python?". At this point I'm questioning myself why I agreed to be interviewed. A few minutes later, a super cringy one: "Can you tell me an example of your amazing analytics skills?". I then proceed to explain what I wrote in the last two paragraphs to her. At this point is clear that she has no idea of what data science is and the company probably googled what they should expect from a candidate.

20 minutes later and the interview is over. A few days later I receive an email saying that I was not selected to continue with the recruitment process because I don't have enough experience.

In summary: an old psychologist with no idea on how data science works says I don't have experience on the subject based on a checklist that they probably google. The interview lasted less than 30 minutes.

Two weeks later another company interviews me, I gave basically the same answers and they absolutely liked what they heard. Since that day I stopped trying to understand what is expected from you on interviews.

I see. They have to be geeky...mmmmh

I read a lot about biology, chemistry, physics and mathematics.

My two fav subjects are biology and math from the above. And I try to attend to as many lectures as I can.

Biology fascinates me to no end and it helps that one of my closest friends works as a resesrcher in Mexico, we are far but we get to talk about it all the time. He is more than happy to go on large lectures about the subject.

I also read a fuckload of fantasy books as well as manga. I also go on anime binged here and there.

In perspective though, i don't think anything is as nerdy as software development. SPECIALLY if it involves large portions of math(which in my case does for the things we develop for the accounting department)

( . Y . ) <--- chichis

Mathematics feels like a giant old undocumented codebase in that, yes you could read the comments of each function, you would rather have a nice complete, well formatted docs page that in human terms explains how things work together, why they are here and where they came from.

Not the most exciting bug i solved but i was very happy when i solved it!

we were working on a java game for a school project. Te game itself consists of a maze so we used a double array maze[][] to store all the Tiles of the maze. to move players around we used x and y coordinates. When we started playing we couldn't figure out why we could move through walls and go in weird directions. and finally it hit me,

java uses [y][x] , and mathematics uses (x,y)

Perhaps as a tip for the junior devs out there, here's what I learned about programming skills on the job:

You know those heavy classes back in college that taught you all about Data Structures? Some devs may argue that you just need to know how to code and you don't need to know fancy Data Structures or Big o notation theory, but in the real world we use them all the time, especially for important projects.

All those principles about Sets, (Linked) lists, map, filter, reduce, union, intersection, symmetric difference, Big O Notation... They matter and are used to solve problems. I used to think I could just coast by without being versed in them.. Soon, mathematics and Big o notation came back to bite me.

Three example projects I worked in where this mattered:
- Massive data collection and processing in legacy Java (clients want their data fast, so better think about the performance implications of CRUD into Collections)
- ReactJS (oh yes, maps and filters are used a lot...)
- Massive data collection in C# where data manipulation results are crucial (union, intersection, symmetric difference,...)
Overall: speed and quality mattered (better know your Big o notation or use a cheat sheet, though I prefer the first)
Yes, the approach can be optimized here, but often we're tied to client constraints, with some room if we're lucky.

I'm glad I learned this lesson. I would rather have skills in my head and in memory than having to look up things and try to understand them all the time.

I have found that once you work for a company where you have to implement everything in its raw form using the raw language and raw logic, you really have to know what you're doing and knowing some basic/medium programming and having some algebra knowledge doesn't cut it (unlike some people think).

I've been at two sides of the coin: I worked for a company that had everything in place, a framework that handled all edge cases and what not and I just had to focus on user stories, but I also worked for a company where I had to do everything manually.

For example, at the latter company I had to know Discrete Mathematics; truth tables to their most convoluted and disgusting form, having to be able to apply this on a late Friday night with a headache and lack of food and sleep with the PM stressing out.
I've had to deal with NOT AND OR AND OR AND OR AND branches or whatever, where an OR behaves like an AND and if you want a value between an AND AND and an OR, you'd have to do a NOT OR.. to think about latches, all in my head, sigh, anyway, within limited time constraints, without even having time to write tests, having to make sure that everything checks out while the client is breathing down my neck. Yeah, not such fun times.

I'm happy for those of you who can just write some moderately difficult logic but you don't have to break your head over doing everything manually, as if you're in the coding stone age and nothing is taken care of.
Companies like these make me want to run away.

Working on developing NLP and ML project.... But what does this even mean?!?!

I'm intrigued, what are you all trying to learn in your spare time and how?

I'll go first, brushing up on maths by reading K A Stroud advanced engineering mathematics.

He's got an intro level book that's also very good.

I have been reading the book "Discrete Mathematics and Its Applications" by Kenneth Rosen. This is a masterpiece (of books?) in my opinion.

I'm sure most of you guys already read it but, I just wanted to pay my respects.

I was around 12. My mother just took a new position as Algorithmic and programming teacher (Mathematics before) for high school seniors. (Around 16-17 in Russia back in a day).

So sometimes, I waited for her after school, listening (just a bit) what she was teaching.

Then one day I was waiting while she was giving an exam of 2 hours to seniors (End of year exam). In 20 minutes, I doodled a thing on a piece of paper and showed my mother. I was correct on all questions and all flow diagrams (Was not called like this back in a day).

From this moment, I knew, programming and logic are for me.

At the end of high school (So I was 17), I received the collective message from most girls in my class saying : “ You felt in love with computers and ignored us”. They were right ☹, I realised it way later.

I just learned C and I have created some projects like Parking System and Library Management System. My problem is I don't know mathematics and I want to learn DataStructures & Algorithms and become pro in it. In the whole September I will still be focusing on C and create more projects. I have started learning Mathematics today from High School level to College level. I thik maths will take 1 year to complete. After September in the October I want to start learning C++ and finish C++ till the end of Dec 2019. I want to know that do I have to first finish my maths learning which will take 1 year then I should start learning Data Structures and Algorithms? As I said I want to become a professional in Algorithms. I think its not possible to learn DS&A yet I have to wait 1 year till I finish learning my Maths. I can't do more with C & C++ without knwoing DS&A? If I started learning DS&A with C++ in the future then I can't become good at algorithms? I want to do competitive programming and be at Top 1 of Hacker Rank and other sites like this.

I am a discrete function. My mood is either a 100 or 0. Nothing in between— especially when I am programming.

I'm an apprentice software engineer, have been for about a year now. I feel so dumb all the time. Used to be I'd just teach myself at my own pace for about a year or two (which was slow, on and off because of life getting in the way). Now I'm surrounded by programmers with decades more experience than me and I can't help but feel inferior.
I want to get better faster but, I work full-time now so I don't know how to supplement my studying. I've been studying linear-algebra online because my maths is crap and I remember one of my colleagues mentioning that it would be useful. But now I'm not sure because apparently discrete mathematics is better.
I also need to keep up with Java since that's what I'm learning in university but, I'm mostly using React/Typescript in my current project. By the time I finish work I don't even want to look at a line code and I lack the self-discipline to force myself to study in the evening.
I need to pick a direction and stick with it but, it's seems to just be increasingly harder as I've gone on.

TLDR: I didn't & still not sure if it is..

I love bug hunting & fixing & figuring out how stuff works, but many will argue this is not even real programming..

Long version how I ended up programming:
Back in highschool, I was deciding between english and mathematics & computer science.. I filled in the form for the latter. Got a change of hearts but I already gave the extra/backup empty form to schoolmate..

Figured it's for the better because it's a hell to get a job as an english teacher/prof anyways + I dislike comunications with people + documentation (if any) is in english etc..

At the end of first year, I didn't even apply for all the exams because you had to have both programming 1&2 to pass or even be eligible to take the year again.. I figured I'd fail them, so once I actually passed both (& actually not with bad grades), I was fucked.. had to retake the year, which means I lost time + still had to pay the rent etc.. decided to drop out and return home and do the IT engineer course instead to at least have some formal education to help me find a job. Finished that without problems, I 'specialised' in network administration.
I got a job straight out of school as a web developer.. the irony.. got some conflicts with the boss and was terminated (material for another rant).

Later I sought out admin jobs, but got declined because I was overqualified and had programming experince. FML, right?

Ended up sending out mandatory job applications for IT administration & programming to not lose the bonuses & got called up to a meeting in the company I work for since then.

No qualifications for .net & MS technologies, but they liked my CV so the ended up setting up the interview anyway. I didn't know half of the technologies and concepts by proper name, but they figured I understand enough of the content to give me a try. A few years later, I got the most fucked up project they have because of my love for new thigs and trying to understand everything. It's aaaalmost bearable now.. still needs a lot of work, but I'm happy where I am. Saddly, I'm still second guessing if I'm doing a proper job as a dev, but they seem to be very ok with my work. (:

Studying mathematics, which in fact I consider as the most effective mind practice for a developer, even if you won't utilize some concepts directly in programming.

And also wandering around and walking long distances, probably because I really like to talk to think loud 😄 and it's less weird when you're just passing by. Anyway I enjoy it personally.

Thinking about getting a masters degree in Mathematics.

I have a graduate degree in CS and have been working full time as a application / web developer.

Should I go for the mathematics degree???

iAPPLIED CS UNIVERSITY, DAY 1 (2018-09-24)

11:00 UTC+3: Arrived at the secretary's office to complete my registration. I met quite some people; I forgot the names of some. I spent some time over there, so I took the 13:00 class instead of the 11:00 one. It's still early, so we pick whichever we want.

13:00: Procedural Programming at the Computer's lab. The computers were running Windows 8.1! 😱 I might connect to my laptop via RDP. It would be very cool. The course was about C, but the first time was just an introduction. We are going to use Code::Blocks. We were also explained the (HTTP only) web platform in which we are logged in via our passwords and submit our assignments. The professor was very nice, but this day at least was very boring. I was watching CodeMinkey cartoons, trying to solve AdLitterams.

18:00: Back for Applied Mathematics I. At the same computer lab. No lesson did happen, because we have to s learn theory stuff first (every Friday I think). Back to home.

Tommorrow is going to be a hard day...:wq

How’s school going?
Well I’m in discrete mathematics and summations honestly suck, but if you put it in a for loop it’s so easy

I guess the moment I wanted to become a dev was when I was playing Skyrim and just got curious on what the underlying mechanics of the game looked like (and obviously how they worked). That lead to me embracing math (CS is derived from math and they both exercise logic flow and abstraction) and realized how good it felt solving problems. I get the same euphoric feeling from solving problems in mathematics as I do when I solve problems through code. I can say that I will be happy and have meaning developing software for the rest of my life, but I wouldn't lie and say that'll be my only focus. Along the way I'll definitely pursue other interest, but from my standing and mindset now I'll definitely be
developing things as more than just a hobby in the near future.

Gave me a career when I wasn't looking for one. Graduated with a mathematics and Management Science double major. Started as a data analyst and a Java architect saw something in me and gave me a shot. He was a dick at first and we had a minor squabble in which I defended myself and I thought I was done there. I later apologized and said I didn't have to because I was sticking up for myself.

I hated programming in college. Found it boring and thought I could teach myself if I wanted to. So in the real world, the problem solving and the variety of languages and software to work on opened up my eyes and allowed me to follow though my career.

For that I get a sweet paycheck, tons of opportunities and my children get to have and do things I never had the opportunity to do as a child.

!rant. Story:

There are a lot of things I would like to do, but the lack of enough money makes it hard.

My goals are to become more active on YouTube, find clients and hold them, try to learn how to sell products convincingly, become better at web design, understand university-level mathematics, leave Germany (one particular reason for this is the need of the redundant imprint), help people around the world, become more fit bodywise (by doing e.g. swimming, jogging and going to the gym), eat healthy and drink a lot of water, work on my emotional intelligence, learn peoples' behaviours and why they do what they do, write my own book, finally start practicing yoga and muay thai, live on my own, make a world tour for a year, learn the skill of powered paragliding, getting the license for powered paragliding, glide with a powered paraglider the whole day, build a house in the woods, create my own satellite and launch it, develop new things (like building some sort of vehicle that can fly in a special way), learn about biology, chemistry, physics (I hate it, but I believe in the power of what is going to happen once you learn it), become more aware of what is happening, live on the streets with no money to learn the ability to survive in more extreme situations, learn how to use guns, bombs, snipers and knifes properly (don't assume that I am a terrorist now haha, I am just interested in that type of stuff. That's all to it) ...

But all of that, obviously, not in 2020. More like within 10 years.

So I've been shadowing behind mathematics a lot, practicing neural networks and exploring different architectures. However I realized that without being able to deploy them, it was going to do nothing sitting on the loclahost :)

And from there I learn the basics of flask
Then the basics of backend
Then my friend suggested and I delved into Node.Js and found it quite nice.

The issue is
I know I don't like HTML and CSS at all.
NO logical programming just the use of div to create aesthetic websites and I HATE it.

But I would also like to try the front end part of developing a website (or an app, who knows?) and I feel I can't find any options here.

What could I possibly do to move forward from this trench that engulfs me.

Is there anyone out there that has experience with reactor network solvers in C++ I could ask some stuff? I hope I'm "Dev" enough to be here, even if I'm a chemical engineering student and not a "classical" developer :)

I was thinking to read some books on algorithm and mathematics required in programming, especially for CP. After some searching I got across some books that are considered great in the field. Among the books, 'Introduction to Programming by CLRS', 'Algorithms Design Manual by Steven Skiena', 'Concrete Mathematics by Donald E. Knuth' and 'The Art of Programming by Donald E. Knuth', in which order should I read them? I've already started reading CLRS as it would be required in my college course too.

what is nutritious and commutative?
— the abelian soup

My company design floor plan and some photoshop work for clients.
One project was to resize the image to certain width and height and place it in the center of the photo with padding 40px around.

I wrote an extended script of Adobe to help the design department and process thousand of images within an hour.

My Boss was so impressed and have a meeting with me. He said: "You need to lead IT department and create a system that can detect the client's requirement and complete the drawing with Adobe Illustrator automatically".

Me: Thinking (Meh, I have no knowledge of Image Processing with my poor Mathematics, where can I die with his requirements?)

Goals for 2022:

- Keep studying my new book (concrete mathematics)
- keep solving hacker rank problems
- Interview at amazon.com again (I was so close to get it) and feel the pleasure of reject them
- Stop skipping gym days
- Making friends in NY

!dev

How do smart (and, I presume, well-educated) people get an idea like "Oh, I know what this world needs, another video where someone scientifically disproves a story from the Bible" or "I should commemorate the new year by telling everyone how insignificant this day is for the universe"? How does someone spend years traveling the world, giving speeches about science, teaching curious people about physics, history, mathematics, chemistry, the space, etc., and then figure that the next thing they should share from their impressive knowledge is an edgy video disproving some old story or tradition?

I saw a video on tiktok a couple days ago that had a pretty interesting opinion. The guy said that we should stop creating programming languages and stick to only a couple.

His main point was because with all these different programming languages, there is different syntaxes the programmer has to learn. Even some of the universal syntaxes are different in some languages. For example, in Rust, to print something you use “println!(...);”

He said this is counter productive because in a majority of other programming languages, the ! Means negation. He also said something about Golang also having some of those syntax problems but I can’t remember exactly.

His point was that if we stuck to a single syntax, then we could spend more time doing productive stuff and less time relearning how to do stuff with different syntax. For example, in mathematics all symbols have pretty much the same meaning across the field. An equals sign will always mean the same thing.

What do u guys think? I thought it was an interesting opinion and I think I agree to some degree . I’ll post the link to the video if I find it again

I'm Angularjs and .NET developer. I'm planning to learn addition skill / tool.
Options are:
1) MEAN Stack
2) React (and related)
3) ML / Data Science
4) Django

Why Mean?
Because it'd easy for me to grasp and I can easily get projects for it.

Why React?
Always curious about React, because of the hype maybe. But really wanna learn. And some gap for React developers.

Why ML/DS?
Tbh, I suck at Mathematics and Statistics. Why ML / DS just because it sound fascinating.

Why Django?
Enough with JS JS JS, what else?

Please give your suggestions :)

Its everyones favorite time again. Wisecrack's 8th grade hoborants about mathematics.

Lets start with the example

a=89
b=223
p=a*b=19847

If

(1/(5/p))/b = 17.8

and naturally

p/5 =3969.4

3969.4/b = 17.8

What I find interesting is that...

p/17.8 = 1115.0

..for any product and factors (given two factors), the result will always be an integer.

Why is this?

You can see that

t= 1115.0*b = 248645.0

And if

17.8*(p/a) = 3969.4

Then

17.8*(t/p) = 223.0 (our factor, b)

a*(t/p)
1115.0

p/1115
17.8

also a*(t/p) = 1115.0

I could be once again misunderstanding but
what it looks like is that theres some real number that always transforms p into an integer on the ring of integers (Z) representing multiples of the factors of p.

Now notice

b/17.8 = 12.52808988764045

We can also get that number like so..

t/p = 12.52808988764045
I think (though I could be mistaken) is that the reason is because t is b*1115 and 12.52808988764045 is the ratio between b and 17.8 as well as the ratio between
p and 1115.

And if we do

t/√p = 1764.9495488858483

1764.9495488858483^2 = 3115046.9101123596

also incidentally
3115046.9101123596/t =12.52808988764045
3115046.9101123596/12.52808988764045 =
t (this is obvious but I want to point it out anyway), or 248645.0

and

1115/b = 5.0

248645.0/5 = 49729.0

and

√49729.0 = b

Why is this last part true, that √(t/5) = b?

Recent graduate asking about programming work.

I just graduated a bachelor's for Games Programming. I've studied c++, Java, Unreal, Android studio and Mathematics. Also includes group projects and game specific stuff.

I spent a year in Germany doing software and database courses which included 6 months working as a front end developer as an intern.

I keep getting job offers for front end work but I'm seeing no interest from software or games. I hate websites, specifically front end and don't want to end up stuck in that career.

Should I avoid front end jobs and hold out for something else, or do you think I should bear with it for now? I'm currently waiting on an interview for a 12 month contract as a front end developer at a rate of £200 a day, 5 days a week. Yet I have absolutely no idea if this is good or not.

Any advice you more experienced people can give me? 😰

what I am doing is reading mathematics as people say developer needs good concept of mathematics
poor me 😂😂😂😂

A friend of mine studies mathematics and he told me about a project he has to do and we worked on it together a bit: Numerically calculate the arctan.
He dug out a nice series by (the one and only) Euler and we started massaging the thing to get it into a bit of a nicer form (there were (n!)^2 and other shenanigans) and we eventually succeeded after some stupid simple errors and arrived at a quite simple recursive progression. After that he also found a formula to transform a given value into the region where our formula actually mimics the arctan and we proceeded to proof this formula. The programming was straight forward and now we only have to find the radius of convergence which I suspect is pi^2 (but no proof).
I had a lot of fun doing this, fiddling around with the formulas and then programming it to see it actually becoming real.

The moment you don't remember Engineering mathematics 😢

I'm rather clueless on mathematics. Should I pick up data science or stick to garden variety software development?

For realz tho I love doing the research behind advanced mathematics. I love watching 3 blue 1 Brown and math problems like "Question 6"

max - min != center.
(min + max) * 0.5 does though...

I astound myself sometimes on Friday afternoons...

Hello, I am currently taking BS Computer Science and for this semester we are required to take a subject on Discrete Mathematics (logic).
My question is, how can I apply this knowledge in programming?
thanksss

- I love blowing my mind. Even if it is the most confusing thing. Things like security mechanisms, neurons' behaviors, mathematics (even tho I hate it when I fail lol), electronics, medical terminology and chemistry.
- I love collecting rare coins, personally never-seen stones and put them into my collection. I love to be a designer. Not only on my laptop. I have a book shelf and within that book shelf I put stones that create the yin yang sign while pushing the books to two sides. That makes them look like they are levitating. I have stones (including obsidian) that create a triangle and a knife hanging down the wall of my room.
- I love visiting touristic, historic, naturally-beautiful but also non-touristic (non-touristic? yes. by that I mean visiting e.g. the areas of touristic cities which are dangerous, because you can easily fall down off of a slippery ground and take serious injuries) places around the globe, talk to complete strangers in public (I am trying to be an extrovert), take pictures with my camera and collecting antiquities.
- I love taking risks (no. I don't play any poker games etc on the internet) without trying to put other people in risk. Driving insanely with whatever I have. Car, bike, you name it.
- I love reading books. Books that are about human psychology, fantasy novels and books about programming languages.
- I love to cook (I am at the beginning).
- I love to use the konMari method of tidying up my room.
- I love plants.
- I love having everything in my room tidied up (even if I am too busy with other stuff and skip this cleaning process for a week upto a month sometimes. Sorry, room.).
- I love doing sports. But mostly sport that I have never tried before. This can be, because of my greedy wish for an adrenaline kick. That led me into taking a balloon flight at 4 am (sunrise) and to paragliding at sunset above Mediterranean sea btw. (I am normally afraid of flying, but paragliding was awesome).
- I love swimming. Like, you cannot pull me out of the sea for a minimum of 2 hours, if it is not important.
- I love laying above the sea water and let the sea carry me to somewhere else.
- I love being alone. I love the silence. I love to be free in my thoughts.
- I love watching the sunset, the light that shines through the forest, the moonlight and the stars at night.
- I love dreaming. No, like, lucid dreaming for example.
- I love being open to any opinions.
- I love to learn about other people's views about the world and their religion.
- I love pets and would do anything to keep them alive when they are ill. It hurts my heart seeing them like this.
- I love watching demonic "A: Holy shit! Did you see this thing, too?! B: Yes!" YouTube videos just for the fun of it, but I hate horror movies and games.
- I love trying out new things. The creation of music and video for example.
- I love to give my hair and beard a shape, if I am too lazy to go to the barbershop lol. By that I don't mean just going to the barbershop, but taking an electric razor and cutting my hair myself even if I get bad results from time to time that can be corrected by letting any family member tell me in which area of of my head the hair problem is.
- I don't like disco clubs.
- I don't like toxic people even though I can be a quite toxic person myself without realizing it. If I appear toxic to you, inform me about it. Having so much testosterone in that moment, can make me do things that I don't want to do.
- I don't like drugs even tho I have to admit that I am trying a few from time to time (maybe 6 months in-between) to have a dopamine kick. I am not an addict.
- I hate myself for things that I did in the past.
- I used to watch MMA videos etc.
- I used to use a telescope, but I can't find it anymore.
- I used to have a microscope, but I can't find it anywhere and besides of that the seller did literally piss in it before selling it to me many years ago. Don't want to touch it tbh.
- I used to play games, but I don't enjoy games anymore. That makes me feel sad.
- I miss the old moments of my life.

In conclusion:
I like how things went and go so far. It changed me so much. It made me a good and a bad person. I became more open and confident, but it also particularly made me a leader who can say "fuck off" in a bad way to his family. I would like to undo this particular part of me.

I've sat in meetings where we're brainstorming ideas for a product and there are veteran decision science and analyst types who are speaking in the jargon of their industry and us developers are having to somehow decifer what they're saying in order to build something meaningful.

Oh so you want us to understand all the concepts and jargon it took you a Masters in business and mathematics along with years of experience to understand. And when the meeting ends you think we're going to go out and build your app how you envisaged it when you didn't clearly explain anything. You just shot out a bunch of jargon and encoded industry-speak.

Its stupidity.

I'm mostly self-taught, but there are a couple people who defined my understanding of computing

- My amazing elementary school friend whose father worked at IBM and who initially turned my interest from astrophysics towards computing. I don't know whether physics would've been fruitful but I know computing is.

- My high school friend, who taught me the basics of OOP. Though we agree on almost nothing today, his explanations about code quality defined my understanding of the matter which I then used to draw completely different conclusions

- My high school mathematics teachers, who tolerated the way I abused every tool at my disposal to construct proofs that resembled a rollercoaster, and helped me develop my own understanding of mathematics

- 3blue1brown for producing replayable videos in a similar quality to my high school maths lectures with additional stunning visuals. No content on the internet fits the way I think quite as much as that channel.

Sooooo... I'm not sure I passed my first exam. I would've been able to answer all the questions correctly, if I'd had enough time.

Does any of you happen to have a 2-3 page summary of the abstract rules of the C language? I could compose one myself but I'm lazy and my Google searches didn't succeed.

Do I have to be good at Mathematics to be good in Machine Learning / Data Science?
I suck at Mathematics, but ML/DS seems so fascinating. Worth a try if I hate Maths?

As they say, do what you enjoy doing.

old MATLAB versions are such a pain

I can't even check if a char array (sort of a string) contains another char array.

MATLAB is like a sports car for mathematics, but a broken wheel chair for actual programming......

Is it possible to follow a TensorFlow guide/tutorial without complex mathematics knowledge?

I love maths so much, but I am at the verge of suicide due to differential equations right now...

Wish I could code something 😟

Why 'AND' and 'OR' have opposite meanings in programming, mathematics compared to the human languages?

Just to mess with thr newcomers..?

While programming is imperative (how to x) rather than declarative (x = y) (mathematics), it deceives me from the idea that I won't have to touch a lot of math.

To my dismay, I now realize that in order for the imperative process to be correct, I have to do immense amounts of declarative thinking (algorithms, proofs,..). That which is written has to work.

Take this combo:
English (or any spoken language) + Mathematics

Is this like:
HTML + Javascript

Yes, I went there. I compared Mathematics to Javascript.

That the equivalence of sets isn't a relation is the dumbest aspect of mathematics I've encountered so far.

Back then as teenager meddling around with QBasic I intuitively realized that you could instruct this machine to do whatever I want - now I could stick the Turing-Church-Hypothesis label to that notion, but I think the experience and feeling of that potential power of programming goes without abstract algebra.
The problem of course: What to do with it? First thing we programmed was a digital telephone book. A chess program? - That's still the thing with apps nowadays I suppose. What should it do? Steer a nuclear power plant or recognize cats on pictures?

(As I didn't know what to do with it back then, I turned to physics and mathematics only to get a job all the university stuff was pointless for but required the skills I taught myself as a 17 year old.)

anybody else has a "polish notation fetish"? i never actually learned lisp, but since i first saw its style, i find writing functions like "+ 1 2" instead of "1 + 2" both aesthetically and functionally more appealing. i think the infix notation is just being kept because of well-established habits.

agda is like hypnospace...its good

“I hated science in high school. Technology? Engineering? Math? Why would I ever need this? Little did I realize that music was also about science, technology, engineering and mathematics, all rolled into one.” — Mickey Hart, Musician

Im starting on computer science study this summer. Im reading up on mathematics and taking a higher math exam aswell. But ive come to wonder. How much math would you really be using as a computer scientist? And any area of math i should pay specific attention to?