Let's talk about how to switch Python versions at will
Preface
I don’t know if you have encountered such a situation in your daily development work:
- Project A was developed using Python 2.7 version (maybe due to historical legacy The problem has not been upgraded or updated)
- Project B was developed using Python version 3.10.4, assuming that requests==2.25.1 version was used
- Project C was developed using Python version 3.10.4 Yes, assuming that requests==2.27.1 version is used
First of all, the first question: the problem of Python version. There is a big difference between Python 2.x and Python 3.x, and there are many versions. Not easy to manage.
The second question: Maybe the version of requests will not have any impact in project B and project C. But using different versions of the same package in some other project can have a huge impact. Then you need to differentiate the versions at this time, so the same Python version needs to use two versions of packages. Obviously package management is a problem in this scenario. It is very important to ensure that different package environments do not interfere with each other during daily project development. It is necessary and a basic need. Then the best way is two virtual environments.
So is there a final solution that can manage different versions of interpreters while also providing a function to control different package versions? Of course there is, it is pyenv.
1. What is pyenv?
pyenv is a Python environment management tool forked from the ruby community. It can easily switch the global Python interpreter version, and it can be combined with virtualenv for convenient management. Bag. After installing pyenv, it will add environment variables to your $PATH, as follows:
❯ echo $PATH /Users/allenjol/.pyenv/plugins/pyenv-virtualenv/shims:/Users/allenjol/.pyenv/shims:/usr/local/bin:/usr/local/sbin
So, pyenv actually controls your PATH environment variables to switch Python versions. It implements version control on Python by inserting a shims path at the beginning of the PATH path.
2. The relationship and difference between pyenv, virtualenv, and pipenv
As mentioned earlier, pyenv controls the Python version, virtualenv is a relatively mature Python virtual environment management tool, and pipenv is the requrests package A tool written by Kenneth Reitz as a package management tool for Python, it can also generate virtual environments. This article will not discuss this tool for now, but will introduce it in a later article.
Pyenv focuses on the management of Python interpreter versions. You can switch your Python version at will and do not need to specify a specific virtual environment directory.
3. Virtual environment pyenv
Installing pyenv under CentOS7
git clone https://github.com/pyenv/pyenv.git ~/.pyenv
Installing pyenv under MacOS
brew update brew install pyenv
If you cannot install it well under MacOS due to network reasons There are two solutions using brew:
- Change the source
- Refer to https://sre.ayunw.cn/posts/terminal_configure_proxy_with_clash/ to set the proxy
Set environment variables
# bash下设置环境变量 echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.bashrc echo 'command -v pyenv >/dev/null || export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.bashrc echo 'eval "$(pyenv init -)"' >> ~/.bashrc source ~/.bashrc # zsh下设置环境变量(我是iterm2+zsh) echo 'export PYENV_ROOT="$HOME/.pyenv"' >> ~/.zshrc echo 'command -v pyenv >/dev/null || export PATH="$PYENV_ROOT/bin:$PATH"' >> ~/.zshrc echo 'eval "$(pyenv init -)"' >> ~/.zshrc source ~/.zshrc
View pyenv version
pyenv --version
4. How to use the command line
# 查看当前版本 pyenv version # 查看所有版本 pyenv versions # 查看有哪些版本可供安装 pyenv install --list # 安装python 3.10.4版本 pyenv install 3.10.4 # 安装一个版本后rehash一下,让pyenv知道管理的Python版本信息 pyenv rehash # 卸载 pyenv uninstall 3.10.4 # 查看所有版本 ❯ pyenv versions system * 3.10.4 (set by /Users/allenjol/.pyenv/version) # 切换全局的Python版本,表示切换为系统的Python版本 pyenv global system # 表示切换为pyenv的3.10.4版本 pyenv global 3.10.4
5. Package management plug-in pyenv-virtualenv
Install pyenv-virtualenv
Installation under Linux
git clone https://github.com/yyuu/pyenv-virtualenv.git ~/.pyenv/plugins/pyenv-virtualenv # 配置环境变量 echo 'eval "$(pyenv virtualenv-init -)"' >> ~/.bash_profile source ~/.bash_profile
Installation under MacOS
git clone https://github.com/pyenv/pyenv-virtualenv.git $(pyenv root)/plugins/pyenv-virtualenv # MacOS的zsh echo 'eval "$(pyenv virtualenv-init -)"' >> ~/.zshrc exec "$SHELL" # 方法二 brew install pyenv-virtualenv echo 'eval "$(pyenv virtualenv-init -)"' >> ~/.zshrc exec "$SHELL"
Use pyenv-virtualenv
# 创建venv环境 pyenv virtualenv venv3.10.4 # 激活venv pyenv activate venv3.10.4 pyenv version # 退出venv环境 pyenv deactivate venv3.10.4 # 删除虚拟环境 pyenv uninstall venv3.10.4
When you switch to Python When using a virtual environment, your pip and the packages in your virtual environment are switched to your target environment. It has nothing to do with the original environment. So this way it gets good version isolation of the python interpreter environment and packages.
The above is the detailed content of Let's talk about how to switch Python versions at will. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

PHP is mainly procedural programming, but also supports object-oriented programming (OOP); Python supports a variety of paradigms, including OOP, functional and procedural programming. PHP is suitable for web development, and Python is suitable for a variety of applications such as data analysis and machine learning.

PHP is suitable for web development and rapid prototyping, and Python is suitable for data science and machine learning. 1.PHP is used for dynamic web development, with simple syntax and suitable for rapid development. 2. Python has concise syntax, is suitable for multiple fields, and has a strong library ecosystem.

Python is more suitable for beginners, with a smooth learning curve and concise syntax; JavaScript is suitable for front-end development, with a steep learning curve and flexible syntax. 1. Python syntax is intuitive and suitable for data science and back-end development. 2. JavaScript is flexible and widely used in front-end and server-side programming.

In VS Code, you can run the program in the terminal through the following steps: Prepare the code and open the integrated terminal to ensure that the code directory is consistent with the terminal working directory. Select the run command according to the programming language (such as Python's python your_file_name.py) to check whether it runs successfully and resolve errors. Use the debugger to improve debugging efficiency.

VS Code can run on Windows 8, but the experience may not be great. First make sure the system has been updated to the latest patch, then download the VS Code installation package that matches the system architecture and install it as prompted. After installation, be aware that some extensions may be incompatible with Windows 8 and need to look for alternative extensions or use newer Windows systems in a virtual machine. Install the necessary extensions to check whether they work properly. Although VS Code is feasible on Windows 8, it is recommended to upgrade to a newer Windows system for a better development experience and security.

VS Code extensions pose malicious risks, such as hiding malicious code, exploiting vulnerabilities, and masturbating as legitimate extensions. Methods to identify malicious extensions include: checking publishers, reading comments, checking code, and installing with caution. Security measures also include: security awareness, good habits, regular updates and antivirus software.

VS Code can be used to write Python and provides many features that make it an ideal tool for developing Python applications. It allows users to: install Python extensions to get functions such as code completion, syntax highlighting, and debugging. Use the debugger to track code step by step, find and fix errors. Integrate Git for version control. Use code formatting tools to maintain code consistency. Use the Linting tool to spot potential problems ahead of time.

PHP originated in 1994 and was developed by RasmusLerdorf. It was originally used to track website visitors and gradually evolved into a server-side scripting language and was widely used in web development. Python was developed by Guidovan Rossum in the late 1980s and was first released in 1991. It emphasizes code readability and simplicity, and is suitable for scientific computing, data analysis and other fields.
