py_lsp.nvim
pyenv
py_lsp.nvim | pyenv | |
---|---|---|
5 | 262 | |
90 | 37,063 | |
- | 2.2% | |
6.8 | 8.9 | |
3 months ago | 12 days ago | |
Lua | Roff | |
- | 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.
py_lsp.nvim
-
Start conda envs after opening a file + conda envs telefoscope & Send to terminal (both for python)?
py_lsp.nvim has this functionality. You can change conda environments for the LSP attached to the buffer via the PyFindVenvs command
-
neovim plugins for easier python virtual environment management
This one may also be what you're looking for: https://github.com/HallerPatrick/py_lsp.nvim Makes it easy to switch environments
-
How to make Python language server in Neovim to work with conda enviromnments?
There’s a great plugin for changing real time the LSP executable via either conda environment or virtual environment: https://github.com/HallerPatrick/py_lsp.nvim.
-
Although I enable venv, the jedi still indicates that the import could not be resolved.
This might help: https://github.com/HallerPatrick/py_lsp.nvim
-
Py_Lsp.nvim Plugin for working with Python and Lsp
py_lsp.nvim is a neovim plugin that helps with handling python virtual environments and the lsp client. It auto sources virtual envs found for correct autocompletion and linting.
pyenv
-
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
-
Setup and Use Pyenv in Python Applications
For more information visit: pyenv repository
- Pyenv – lets you easily switch between multiple versions of Python
-
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.
-
How to debug Django inside a Docker container with VSCode
Python version manager pyenv
-
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.
-
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.
-
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.
-
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.
-
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?
nvim-config
Poetry - Python packaging and dependency management made easy
venv-selector.nvim - Allows selection of python virtual environment from within neovim
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
NeoTerm.lua - You can attach a terminal-buffer for each buffer.
Pipenv - Python Development Workflow for Humans.
pyright - Static Type Checker for Python
miniforge - A conda-forge distribution.
direnv - unclutter your .profile
virtualenv - Virtual Python Environment builder
swenv.nvim - Tiny plugin to quickly switch python virtual environments from within neovim without restarting.
Pew - A tool to manage multiple virtual environments written in pure python