asdf-python
pyenv
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asdf-python | pyenv | |
---|---|---|
8 | 260 | |
627 | 36,723 | |
3.2% | 2.9% | |
3.2 | 8.9 | |
3 months ago | 2 days ago | |
Shell | 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.
asdf-python
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Pyenv – lets you easily switch between multiple versions of Python
Point of clarification: asdf uses python-build which is from pyenv.
https://github.com/asdf-community/asdf-python?tab=readme-ov-...
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A Journey to Find an Ultimate Development Environment
[env] # supports arbitrary env vars so mise can be used like direnv/dotenv NODE_ENV = 'production' [tools] # specify single or multiple versions terraform = '1.0.0' erlang = ['23.3', '24.0'] # supports everything you can do with .tool-versions currently node = ['16', 'prefix:20', 'ref:master', 'path:~/.nodes/14'] # send arbitrary options to the plugin, passed as: # MISE_TOOL_OPTS\_\_VENV=.venv python = {version='3.10', virtualenv='.venv'} [plugins] # specify a custom repo url # note this will only be used if the plugin does not already exist python = 'https://github.com/asdf-community/asdf-python' [alias.node] # project-local aliases my_custom_node = '20'
- Python..
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Asdf – the language tool version manager
Yeah, I should've been more precise. The asdf plugins use parts of existing systems. For example (python/ruby/node)-build which mostly come from other version managers. Asdf does provide extras, but the plugin-specific code is tiny: https://github.com/asdf-community/asdf-python/blob/master/bi...
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One of the most powerful Software Development tool - 2 mins read
❯ asdf plugin-list --urls --refs act https://github.com/grimoh/asdf-act.git master 8729029 aws-vault https://github.com/beardix/asdf-aws-vault.git master 937a1db awscli https://github.com/MetricMike/asdf-awscli.git main b9ba4c7 docker-slim https://github.com/everpeace/asdf-docker-slim.git master 4ee75a3 golang https://github.com/kennyp/asdf-golang.git master 1f388f1 helm https://github.com/Antiarchitect/asdf-helm.git master 87eef5a java https://github.com/halcyon/asdf-java.git master f0c702f jq https://github.com/ryodocx/asdf-jq.git master 3144577 kubectl https://github.com/asdf-community/asdf-kubectl.git master da7bb0b minikube https://github.com/alvarobp/asdf-minikube.git master 8ca7b8d mysql https://github.com/iroddis/asdf-mysql.git master 3aaf756 nodejs https://github.com/asdf-vm/asdf-nodejs.git master cb61e3d perl https://github.com/ouest/asdf-perl.git master 31bb799 php https://github.com/asdf-community/asdf-php.git master 759843b postgres https://github.com/smashedtoatoms/asdf-postgres.git master 4f8b356 python https://github.com/danhper/asdf-python.git master 8ab052f redis https://github.com/smashedtoatoms/asdf-redis.git master bf1276e ruby https://github.com/asdf-vm/asdf-ruby.git master f134c2d sbt https://github.com/bram2000/asdf-sbt.git master 33f9637 scala https://github.com/asdf-community/asdf-scala.git master 1206055 skaffold https://github.com/virtualstaticvoid/asdf-skaffold.git master c942ecf spark https://github.com/joshuaballoch/asdf-spark.git master 6fe49de
- O inicio, instalando Python
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Beginning python dev, just started using WSL2 and VS Code, my $PATH environment variable is full of lots of junk from years of not knowing what I'm doing. How do I know what to get rid of, what to keep, and which file goes first in the $PATH?
You could look at what a new $PATH file looks like by spinning up a new VM or google around for default path examples. As for your dependency issues, I like to use poetry and asdf to keep things straight.
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Homebrew Python Is Not for You
I use asdf and its Python plugin [1] to install Python interpreter versions.
For managing virtual environments on my preferred shell (Fish), I use (and maintain) VirtualFish [2].
For managing project dependencies, I activate environments via VirtualFish and then use Poetry [3] to update the dependencies within the environments.
[1]: https://github.com/danhper/asdf-python
[2]: http://github.com/justinmayer/virtualfish
[3]: http://python-poetry.org
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.
- Почему я программирую на Ruby
What are some alternatives?
homebrew-core - 🍻 Default formulae for the missing package manager for macOS (or Linux)
Poetry - Python packaging and dependency management made easy
tfenv - Terraform version manager
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
rbenv - Manage your app's Ruby environment
Pipenv - Python Development Workflow for Humans.
nodeenv - Virtual environment for Node.js & integrator with virtualenv
miniforge - A conda-forge distribution.
asdf-helm - Helm plugin for asdf version manager https://github.com/asdf-vm/asdf
virtualenv - Virtual Python Environment builder
Vagrant - Vagrant is a tool for building and distributing development environments.
Pew - A tool to manage multiple virtual environments written in pure python