Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
flake8
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How I start every new Python backend API project
repos: - repo: https://github.com/pre-commit/pre-commit-hooks rev: v4.3.0 hooks: - id: trailing-whitespace - id: check-merge-conflict - id: check-yaml args: [--unsafe] - id: check-json - id: detect-private-key - id: end-of-file-fixer - repo: https://github.com/timothycrosley/isort rev: 5.10.1 hooks: - id: isort - repo: https://github.com/psf/black rev: 22.8.0 hooks: - id: black - repo: https://gitlab.com/pycqa/flake8 rev: 3.9.2 hooks: - id: flake8 - repo: https://github.com/pre-commit/mirrors-mypy rev: v0.971 hooks: - id: mypy args: [ --warn-unused-configs, --ignore-missing-imports, --disallow-untyped-defs, --follow-imports=silent, --install-types, --non-interactive ]
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Flake8 took down the gitlab repository in favor of github
I just ran `pre-commit autoupdate`. It's asking for a username for https://gitlab.com/pycqa/flake8. :-(
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flake8-length: Flake8 plugin for a smart line length validation.
Flake8 plugin for a smart line length validation.
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Should I follow the warnings in Pycharm? Does anyone do this?
repo: https://gitlab.com/pycqa/flake8 rev: 3.9.2 hooks:
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flake8-pylint: Flake8 plugin that runs PyLint
Flake8 plugin that runs PyLint.
- Ask HN: Did somebody have success with the migration of Python 2.7 to Java/C#?
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Make your Django project newbie contributor friendly with pre-commit
$ pre-commit install pre-commit installed at .git/hooks/pre-commit $ git add .pre-commit-config.yaml $ git commit -m "Add pre-commit config" [INFO] Initializing environment for https://github.com/pre-commit/pre-commit-hooks. [INFO] Initializing environment for https://gitlab.com/pycqa/flake8. [INFO] Initializing environment for https://github.com/pycqa/isort. [INFO] Initializing environment for https://github.com/python/black. [INFO] Installing environment for https://github.com/pre-commit/pre-commit-hooks. [INFO] Once installed this environment will be reused. [INFO] This may take a few minutes... [INFO] Installing environment for https://gitlab.com/pycqa/flake8. [INFO] Once installed this environment will be reused. [INFO] This may take a few minutes... [INFO] Installing environment for https://github.com/pycqa/isort. [INFO] Once installed this environment will be reused. [INFO] This may take a few minutes... [INFO] Installing environment for https://github.com/python/black. [INFO] Once installed this environment will be reused. [INFO] This may take a few minutes... Trim Trailing Whitespace.................................................Passed Check Yaml...............................................................Passed Check for merge conflicts................................................Passed Debug Statements (Python)............................(no files to check)Skipped Check for added large files..............................................Passed Fix requirements.txt.................................(no files to check)Skipped Check django project for potential problems..........(no files to check)Skipped Check django project for missing migrations..........(no files to check)Skipped flake8...............................................(no files to check)Skipped isort................................................(no files to check)Skipped black................................................(no files to check)Skipped
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On unit testing
If you're looking for just good automated error checking, I personally use a bunch of flake8 plugins via pre-commit hooks: flake8-bugbear, flake8-builtins, flake8-bandit, etc. You can find a bunch of sites that give recommended plugins and you just need to pick which ones you care about :)
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Python: Setting Up Project Environment
flake8 is Python style checker based on PEP8(Python Enhance Proposal 8). black is a good code formatter. But some items such as Documentation String, black is not provided the check option. flake8 not only helps for lack of black but also can be easily applied with black.
pyenv
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Install Asdf: One Runtime Manager to Rule All Dev Environments
If you have a requirement for multiple, specific Python versions, why not just use pyenv?
https://github.com/pyenv/pyenv
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Setup and Use Pyenv in Python Applications
For more information visit: pyenv repository
- Pyenv – lets you easily switch between multiple versions of Python
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How to Create Virtual Environments in Python
Note that virtual environments assume you are using the same global version of Python. Often, this is not the case and additional tools like pyenv can be used alongside virtual environments when you need to switch between versions of Python itself on your local machine.
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How to debug Django inside a Docker container with VSCode
Python version manager pyenv
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Integrating GPT in Your Project: Create an API for Anything Using LangChain and FastAPI
First of all, install the Python virtual environment from these links: 1 and 2. I developed my GPT-based API in Python version 3.8.18. Pick any Python versions >= 3.7.
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Manage your Python Project End-to-End with PDM
Note: Most modern systems will probably have a system environment that meets this requirement, but if yours does not or if you prefer not to install anything in your system environment (even if it's just PDM) check out asdf or pyenv to help install and manage additional Python environments.
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Introducing Flama for Robust Machine Learning APIs
When dealing with software development, reproducibility is key. This is why we encourage you to use Python virtual environments to set up an isolated environment for your project. Virtual environments allow the isolation of dependencies, which plays a crucial role to avoid breaking compatibility between different projects. We cannot cover all the details about virtual environments in this post, but we encourage you to learn more about venv, pyenv or conda for a better understanding on how to create and manage virtual environments.
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Is KDE Desktop really snappier than XFCE these days as claimed?
For Python, with your use case I would avoid system packages, no matter the distro. It sounds like it would be worth setting up pyenv and working exclusively with virtual environments.
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Python Versions and Release Cycles
For OSX there is homebrew or pyenv (pyenv is another solution on Linux). As pyenv compiles from source it will require setting up XCode (the Apple IDE) tools to support this which can be pretty bulky. Windows users have chocolatey but the issue there is it works off the binaries. That means it won't have the latest security release available since those are source only. Conda is also another solution which can be picked up by Visual Studio Code as available versions of Python making development easier. In the end it might be best to consider using WSL on Windows for installing a Linux version and using that instead.
What are some alternatives?
pyright - Static Type Checker for Python
Poetry - Python packaging and dependency management made easy
black - The uncompromising Python code formatter [Moved to: https://github.com/psf/black]
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
yapf - A formatter for Python files
Pipenv - Python Development Workflow for Humans.
pyre-check - Performant type-checking for python.
miniforge - A conda-forge distribution.
mypy - Optional static typing for Python
virtualenv - Virtual Python Environment builder
pre-commit - A framework for managing and maintaining multi-language pre-commit hooks.
Pew - A tool to manage multiple virtual environments written in pure python