pyenv-installer
pyenv
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pyenv-installer | pyenv | |
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17 | 260 | |
3,860 | 36,626 | |
1.0% | 2.9% | |
2.9 | 8.9 | |
6 days ago | 17 days ago | |
Shell | Roff | |
MIT License | MIT License |
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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.
pyenv-installer
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pyenv - manage python versions
To install it make sure that all prerequisites are met. Then use the pyenv-installer project like this to get the tool installed:
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After deleting Pyenv, I get the top error when I open terminal and when I use the commands to remove it, I get those errors. How do I fix?
I tried the uninstaller from https://github.com/pyenv/pyenv-installer and I'm getting this.
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Simple Python Version Management: pyenv
After you’ve installed the build dependencies, you’re ready to install pyenv itself. I recommend using the pyenv-installer project:
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Your own Stable Diffusion endpoint with AWS SageMaker
For python, it's recommended to use pyenv, which allows you to install several versions of python at the same time with simple commands like this: pyenv install 3.9.13
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Zellij: A terminal workspace with batteries included
Please don't contribute worthless and irrelevant comments like this. As you doubtless well know, piping from curl into bash is something that a large subset of respected programmers think is reasonable, and another rather tedious subset do not. For example, the entire Rust community clearly has a consensus that it's reasonable: https://rustup.rs/ As does homebrew https://brew.sh/ and pyenv https://github.com/pyenv/pyenv-installer#install to name whatever came to my mind in 30s thought.
Since the debate has such large numbers on both sides, your individual opinion on it is neither interesting nor germane.
- Cómo instalar y crear un entorno virtual con pyenv en ubuntu 22.04 LTS
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Pytest is failing on GitHub Actions but succeeds locally
name: Test, build and release # whenever a branch or commit is pushed on: [push] jobs: # use pytest test: # used to ensure testing is done right env: DEVELOPMENT: '1' runs-on: ubuntu-latest # to avoid using old sqlite version container: image: debian:latest options: --user root steps: # check out repo - uses: actions/checkout@v2 # prevent from asking user for input - run: export DEBIAN_FRONTEND=noninteractive # install recommended tools for building Python - run: apt -q update - run: apt -q install make build-essential libssl-dev zlib1g-dev libbz2-dev libreadline-dev libsqlite3-dev wget curl llvm libncursesw5-dev xz-utils tk-dev libxml2-dev libxmlsec1-dev libffi-dev liblzma-dev git sqlite3 -y - run: apt -q upgrade -y # install pyenv - run: curl -L https://github.com/pyenv/pyenv-installer/raw/master/bin/pyenv-installer | bash - run: exec $SHELL - run: ~/.pyenv/bin/pyenv update # install and set up required Python - run: ~/.pyenv/bin/pyenv install 3.10.2 - run: ~/.pyenv/bin/pyenv virtualenv 3.10.2 npbc - run: ~/.pyenv/bin/pyenv local 3.10.2/envs/npbc # print version info (debugging) - run: ~/.pyenv/shims/python -V - run: ~/.pyenv/shims/python -c "import sqlite3; print(sqlite3.version)" # install pip packages - run: ~/.pyenv/shims/pip install -r requirements.txt pytest # run test - run: ~/.pyenv/shims/pytest -vv
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Managing multiple versions of Python using pyenv and virtualenvwrapper
curl -L https://github.com/pyenv/pyenv-installer/raw/master/bin/pyenv-installer | bash
- [Tutorial] Instalando o Python com o Pyenv
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Real World Python 🐍: Environment Setup - pyenv
This uses the pyenv-installer project to install pyenv on your system.
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?
pyright - Static Type Checker for Python
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
yolov4-deepsort - Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
Poetry - Python packaging and dependency management made easy
remote - Moved to https://github.com/labmlai/labml/tree/master/remote
Pipenv - Python Development Workflow for Humans.
dotfiles-original - POSIX configuration files designed to be cross-platform between macOS and GNU/Linux.
miniforge - A conda-forge distribution.
virtualenv - Virtual Python Environment builder
mypy - Optional static typing for Python
Pew - A tool to manage multiple virtual environments written in pure python