pyenv
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pyenv | HomeBrew | |
---|---|---|
260 | 1,281 | |
36,626 | 39,373 | |
2.9% | 1.7% | |
8.9 | 10.0 | |
17 days ago | about 10 hours ago | |
Roff | Ruby | |
MIT License | BSD 2-clause "Simplified" 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.
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
HomeBrew
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Top Homebrew Alternative: ServBay Becomes the Go-To for Developers
Homebrew is a highly popular package manager on macOS and Linux systems, enabling users to easily install, update, and uninstall command-line tools and applications. Its design philosophy focuses on simplifying the software installation process on macOS, eliminating the need for manual downloads and compilations of software packages.
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Software Engineering Workflow
Homebrew - package manager for linux-based OSs.
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Simulate your first Lightning transaction on the Bitcoin regtest network Part 1 (MacOS)
Package Manager: Homebrew
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Tools for Linux Distro Hoppers
Hopping from one distro to another with a different package manager might require some time to adapt. Using a package manager that can be installed on most distro is one way to help you get to work faster. Flatpak is one of them; other alternative are Snap, Nix or Homebrew. Flatpak is a good starter, and if you have a bunch of free time, I suggest trying Nix.
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SQLite Schema Diagram Generator
Are you using SQLite that ships with macOS, or SQLite installed from homebrew?
I had a different problem in the past with the SQLite that ships with macOS, and have been using SQLite from homebrew since.
So if it’s the one that comes with macOS that gives you this problem that you are having, try using SQLite from homebrew instead.
https://brew.sh/
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How to install (Ubuntu 22.10 VM) vagrant on Mac M1 ship using QEMU
Before we begin, make sure you have Homebrew installed on your Mac. Homebrew is a package manager that makes it easy to install software and dependencies. You can install Homebrew by following the instructions on their website: https://brew.sh/
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Perfect Elixir: Environment Setup
I’m on MacOS and erlang.org, elixir-lang.org, and postgresql.org all suggest installation via Homebrew, which is a very popular package manager for MacOS.
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You're Installing Node.js Wrong. That's OK, Here Is How To Fix It 🙌
I have always either installed Node from the installer provided by the Nodejs website or, via Brew in macOS. I have also used nvm in the past but did not know that there was a best practice to guide us.
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Test Driving a Rails API - Part One
A running Rails application needs a database to connect to. You may already have your database of choice installed, but if not, I recommend PostgreSQL, or Postgres for short. On a Mac, probably the easiest way to install it is with Posrgres.app. Another option, the one I prefer, is to use Homebrew. With Homebrew installed, this command will install PostgreSQL version 16 along with libpq:
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Effective Neovim Setup. A Beginner’s Guide
On a macOS machine, you can use homebrew by running the command.
What are some alternatives?
asdf - Extendable version manager with support for Ruby, Node.js, Elixir, Erlang & more
spack - A flexible package manager that supports multiple versions, configurations, platforms, and compilers.
Poetry - Python packaging and dependency management made easy
Pipenv - Python Development Workflow for Humans.
Visual Studio Code - Visual Studio Code
miniforge - A conda-forge distribution.
winget-cli - WinGet is the Windows Package Manager. This project includes a CLI (Command Line Interface), PowerShell modules, and a COM (Component Object Model) API (Application Programming Interface).
virtualenv - Virtual Python Environment builder
osxfuse - FUSE extends macOS by adding support for user space file systems
Pew - A tool to manage multiple virtual environments written in pure python
Chocolatey - Chocolatey - the package manager for Windows