setup-python
pyenv
setup-python | pyenv | |
---|---|---|
11 | 261 | |
1,537 | 36,723 | |
2.1% | 1.3% | |
6.7 | 8.9 | |
18 days ago | 7 days ago | |
TypeScript | Roff | |
MIT License | MIT License |
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.
setup-python
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CI/CI deploy a static website to AWS S3 bucket through Github Actions
Run a local host with the static website content with Python setup Github Actions
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Disable Annotations in Github Actions
setup-python
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Building project docs for GitHub Pages
The first two steps are setting up the job's environment. The checkout action will checkout out the repository at the triggering ref. The setup-python action will setup the desired Python runtime. My package supports Python 3.9+ so I'm targeting the minimum version for my build environments.
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Gotchas when building GitHub self-hosted runners with AWS official AMIs/container images for Python apps
actions/setup-python@v4 does not support arm64 (https://raw.githubusercontent.com/actions/python-versions/main/versions-manifest.json). See related Open issue https://github.com/actions/setup-python/issues/108.
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Top 10 GitHub Actions You Should Use to set up your CI/CD Pipeline
The most popular ones are Node.js, Python, Java JDK, Go, .Net Core SDK.
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Deploy Azure Static Web Apps using Python
To build your environment in GH Actions you'll need to add a block to your yaml file BEFORE the Azure Build and Deploy section. You'll need to include the setup-python action and specify the python version you would like to use. Use the major version of your python version so 3.10 and NOT 3.10.5. For more information and options on this you can check out the Setup-Python GH actions repo.
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Deploying to GitHub Pages using GitHub Actions
Next up we'll need to add a step to compile our production ready build. For this we can add two new steps, one which configures our Node version to ensure it matches our application, followed by another that runs the necessary commands with npm. Depending on how your application is built you may need to add another step between these to install any sort of required environments such as Python or Java.
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Air Quality - Pollutant Index - India
Python 3.9 is setup using actions/[email protected] and the pip packages are cached
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Prefect CLI Action
It requires that the checkout and setup-python actions be used first.
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Python CI/CD with GitHub Actions
First, we have to checkout the repository in GitHub Actions using GitHub's own checkout action. Then, we have to set up the Python version using GitHub's setup-python action. Finally, we can use Black's provided GitHub Action for checking formatting - it runs black --check --diff on the workflow runner's clone of the repo and outputs an error code if any Python file in the repo fails Black's formatting rules. Note that Black fails if the AST cannot be parsed (i.e. if there are any syntax errors), so it can also be used for checking syntax correctness, which itself is a good proxy for checking for merge conflict strings.
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?
checkout - Action for checking out a repo
Poetry - Python packaging and dependency management made easy
cache - Cache dependencies and build outputs in GitHub Actions
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
virtual-environments - GitHub Actions runner images [Moved to: https://github.com/actions/runner-images]
Pipenv - Python Development Workflow for Humans.
black - The uncompromising Python code formatter
miniforge - A conda-forge distribution.
upload-pages-artifact - A composite action for packaging and uploading an artifact that can be deployed to GitHub Pages.
virtualenv - Virtual Python Environment builder
github-pages-deploy-action - 🚀 Automatically deploy your project to GitHub Pages using GitHub Actions. This action can be configured to push your production-ready code into any branch you'd like.
Pew - A tool to manage multiple virtual environments written in pure python