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Source channel @githubtrending · Post #15110 · Sep 1

#other Cognitive load is the mental effort needed to understand and work with code. Since our brain can only hold about four pieces of information at once, complex code with many conditions, deep inheritance, or too many small modules increases this load, making it harder to understand and maintain. To reduce cognitive load, use clear, meaningful variable names, prefer composition over inheritance, avoid too many tiny modules, and keep interfaces simple. Also, avoid excessive abstractions, tight coupling with frameworks, and overly complex architectures. Lower cognitive load helps you and your team understand code faster, reduce bugs, and be more productive. https://github.com/zakirullin/cognitive-load

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djangoproject

@djangoproject · Post #131 · 09/01/2016, 03:27 AM

http://www.lfd.uci.edu/~gohlke/pythonlibs/ This page provides 32- and 64-bit Windows binaries of many scientific open-source extension #packages for the official #CPython distribution of the #Python programming language. The files are unofficial (meaning: informal, unrecognized, personal, unsupported, no warranty, no liability, provided "as is") and made available for testing and evaluation purposes.

djangoproject

@djangoproject · Post #225 · 01/15/2017, 07:15 AM

http://www.pyinstaller.org/ #PyInstaller is a program that #freezes (#packages) Python programs into #stand_alone#executables, under Windows, Linux, Mac OS X, FreeBSD, Solaris and AIX. Its main advantages over similar tools are that PyInstaller works with Python 2.7 and 3.3—3.5, it builds smaller executables thanks to transparent compression, it is fully multi-platform, and use the OS support to load the dynamic libraries, thus ensuring full compatibility.

djangoproject

@djangoproject · Post #535 · 12/28/2017, 10:12 AM

https://docs.pipenv.org/ #Pipenv — the officially recommended #Python#packaging tool from Python.org, free (as in freedom). Pipenv is a tool that aims to bring the best of all packaging worlds (#bundler, #composer, #npm, #cargo, #yarn, etc.) to the Python world. #Windows is a first–class citizen, in our world. It automatically creates and manages a #virtualenv for your projects, as well as adds/removes #packages from your #Pipfile as you install/uninstall packages. It also generates the ever–important Pipfile.lock, which is used to produce deterministic builds.