Running a fucking conda environment on windows (an update environment from the previous one that I normally use) gets to be a fucking pain in the fucking ass for no fucking reason.

First: Generate a new conda environment, for FUCKING SHITS AND GIGGLES, DO NOT SPECIFY THE PYTHON VERSION, just to see compatibility, this was an experiment, expected to fail.

Install tensorflow on said environment: It does not fucking work, not detecting cuda, the only requirement? To have the cuda dependencies installed, modified, and inside of the system path, check done, it works on 4 other fucking environments, so why not this one.

Still doesn't work, google around and found some thread on github (the errors) that has a way to fix it, do it that way, fucking magic, shit is fixed.

Very well, tensorflow is installed and detecting cuda, no biggie. HAD TO SWITCH TO PYHTHON 3,8 BECAUSE 3.9 WAS GIVING ISSUES FOR SOME UNKNOWN FUCKING REASON

Ok no problem, done.

Install jupyter lab, for which the first in all other 4 environments it works. Guess what a fuckload of errors upon executing the import of tensorflow. They go on a loop that does not fucking end.

The error: imPoRT eRrOr thE Dll waS noT loAdeD

Ok, fucking which one? who fucking knows.

I FUCKING HATE that the main language for this fucking bullshit is python. I guess the benefits of the repl, I do, but the python repl is fucking HORSESHIT compared to the one you get on: Lisp, Ruby and fucking even NODE in which error messages are still more fucking intelligent than those of fucking bullshit ass Python.

Personally? I am betting on Julia devising a smarter environment, it is a better language already, on a second note: If you are worried about A.I taking your job, don't, it requires a team of fucktards working around common basic system administration tasks to get this bullshit running in the first place.

My dream? Julia or Scala (fuck you) for a primary language in machine learning and AI, in which entire environments, with aaaaaaaaaall of the required dlls and dependencies can be downloaded and installed upon can just fucking run. A single directory structure in which shit just fucking works (reason why I like live environments like Smalltalk, but fuck you on that too) and just run your projects from there, without setting a bunch of bullshit from environment variables, cuda dlls installation phases and what not. Something that JUST FUCKING WORKS.

I.....fucking.....HATE the level of system administration required to run fucking anything nowadays, the reason why we had to create shit like devops jobs, for the sad fuckers that have to figure out environment configurations on a box just to run software.

Fuck me man development turned to shit, this is why go mod, node npm, php composer strict folder structure pipelines were created. Bitch all you want about npm, but if I can create a node_modules setting with all of the required dlls to run a project, even if this bitch weights 2.5GB for a project structure you bet your fucking ass that I would.

"YOU JUST DON'T KNOW WHAT YOU ARE DOING" YES I FUCKING DO and I will get this bullshit fixed, I will get it running just like I did the other 4 environments that I fucking use, for different versions of cuda and python and the dependency circle jerk BULLSHIT that I have to manage. But this "follow the guide and it will work, except when it does not and you are looking into obscure github errors" bullshit just takes away from valuable project time when you have a small dedicated group of developers and no sys admin or devops mastermind to resort to.

I have successfully deployed:
Java
Golang
Clojure
Python
Node
PHP
VB/C# .NET
C++
Rails
Django

Projects, and every single fucking time (save for .net, that shit just fucking works on a dedicated windows IIS server) the shit will not work with x..nT reasons. It fucking obliterates me how fucking annoying this bullshit is. And the reason why the ENTIRE FUCKING FIELD of computer science and software engineering is so fucking flawed.

But we can't all just run to simple windows bs in which we have documentation for everything. We have to spend countless hours on fucking Linux figuring shit out (fuck you also, I have been using Linux since I was 18, I am 30 now) for which graphical drivers for machine learning, cuda and whatTheFuckNot require all sorts of sys admin gymnasts to be used.

Y'all fucked up a long time ago. Smalltalk provided an all in one, easily rollable back to previous images, easily administered interfaces for this fileFuckery bullshit, and even though the JVM and the .NET environments did their best to hold shit down, and even though we had npm packages pulling the universe inside, or gomod compiling shit into one place NOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOOO we had to do whatever the fuck we wanted to feel l337 and wanted.

Fuck all of you, fuck this field, fuck setting boxes for ML/AI and fuck every single OS in existence

How the Common Lisp Community will eventually die soon:

Clojure is the only main Lisp dialect having some sort of heavy presence in today's modern development world. Yes, I am aware of other(if not all) environments in which Lisp or a dialect of it is being used for multiple things, CADLisp, Guile Scheme, Racket, etc etc whatever. I know.

Not only is Clojure present in the JVM(I give 0 fucks about whether you like it or not also) but also has compilation targets for Javascript via Clojurescript. This means that i can effectively target backend server operations, damn near everything inside of the JVM and also the browser.
Yet, there is no real point in using Lisp or Clojure other than for pure academic endeavours, for which it is not even a pure functional programming language, you would be better served learning something else if you want true functional purity. But also because examples for one of the major areas in software development, mainly web, are really lacking, like, lacking bad, as in, so bad most examples are few in between and there is no interest in making it target complete beginners or anything of the like.

But my biggest fucking gripe with Lisp as a whole, specifically Common Lisp, is how monstrously outdated the documentation you can find available for it is.

Say for example, aesthetics, these play a large role, a developer(web mostly) used to the attention to detail placed by the Rails community, the Laravel community, django, etc etc would find on documentation that came straight from the 90s. There is no passion for design, no attention to detail, it makes it look hacky and abandoned. Everything in Lisp looks so severely abandoned for which the most abundant pool of resources are not even made present on a fully general purpose language constrained as a scripting environment for a text editor: Emacs with Emacs Lisp which I reckon is about the most used Lisp dialect in the planet, even more so than Clojure or Common Lisp.

I just want the language to be made popular again y'know? To have a killer app or framework for it much like there is Rails for Ruby, Phoenix for Elixir, etc etc. But unless I get some serious hacking done to bring about the level of maturity of those frameworks(which I won't nor I believe I can) then it will always remain a niche language with funny syntax.

To be honest I am phasing away my use of Clojure in place of Pharo. I just hate seeing how much the Lisp community does in an effort to keep shit as obscure and far away from the reach of new developers as possible. I also DESPISE reading other Lisp developer's code. Far too fucking dense and clever for anyone other than the original developer to read and add to. The idea that Lisp allows for read only code is far too real man.

Lisp has been DED for a while, and the zombies that remain will soon disappear because the community was too busy playing circle jerks for anything real to be done with it. Even as the original language of AI it has been severely outshined by the likes of Python, R and Scala, shit, even Javascript has more presence in AI than Lisp does now a days.

Django docs are 🔥🔥

I am currently trying to set up a unit-test using Python Django framework.

I follow the official documentation step by step. I completed the steps.

It spits out an error: the table does not exist in the database.

Seriously, do you need any more proof that Python is bad? The developers of Python framework cannot even put together a working tutorial. If the unit-test framework requires the database then it should auto-create the tables