Ten Tips for Using Python Pip
Python pip
Let’s start with the Python language. Python is popular not only because it is easy to learn, but also because it has thousands of libraries.
These libraries are equivalent to integrated tools and can be used in Python as long as they are installed. They can handle a wide variety of problems without requiring you to reinvent the wheel, and with constant updates and maintenance by the community, some libraries are becoming more powerful, almost rivaling enterprise-grade applications.
So how to download and install these tool libraries? They are placed in a unified "repository" called PyPi (Python Package Index) from which all library installations originate.
After you have a warehouse, you need an administrator, and pip is such a role. pip takes the library from PyPi and installs it into Python. It can also manage installed libraries such as updating, viewing, searching, uninstalling, etc.
The following summarizes 10 common sense and tips for using pip for your reference.
1. Install pip
Starting from Python 3.4, pip has been built into Python, so there is no need to install it again.
If your Python version does not have pip, you can use the following two methods to install it.
- Enter easy_install pip on the command line, which is very fast.
- Download the pip installation file from the following URL, then extract it to the Python script directory and execute the python setup.py install command.
pip download address: https://pypi.org/project/pip/#files
However, if you are still using Python3.4 and earlier versions, please Upgrade to the latest stable version of Python (https://www.python.org/downloads/). Otherwise, you are adding more technical debt every day.
2. Upgrade pip
If the version of pip is too low, you can upgrade the current version: pip install --upgrade pip or pip install -U pip.
$ pip install -U pip Looking in indexes: https://pypi.python.org/simple Requirement already satisfied: pip in ./test/lib/python3.8/site-packages (21.1.1) Collecting pip Using cached pip-22.0.4-py3-none-any.whl (2.1 MB) Installing collected packages: pip Attempting uninstall: pip Found existing installation: pip 21.1.1 Uninstalling pip-21.1.1: Successfully uninstalled pip-21.1.1 Successfully installed pip-22.0.4
3. Installation library
Use pip to install a third-party library. You can execute the following statement: pip install package_name
Specify the package version: pip install package_name==1.1.2
For example, I want to install version 3.4.1 of matplotlib: pip install matplotlib==3.4.1
4. Batch installation of libraries
If a project needs to install many Libraries can be installed in batches: pip install -r requirements.txt
The content format of the file is as follows:
# This is a comment # Specify a diffrent index -i http://dist.repoze.org/zope2/2.10/simple # Package with versions tensorflow==2.3.1 uvicorn==0.12.2 fastapi==0.63.0 pkg1 pkg2 pkg3>=1.0,<=2.0 # It is possible to refer to specific local distribution paths. ./downloads/numpy-1.9.2-cp34-none-win32.whl # It is possible to refer to other requirement files or constraints files. -r other-requirements.txt -c constraints.txt # It is possible to specify requirements as plain names. pytest pytest-cov beautifulsoup4
5. Uninstall and upgrade packages
The installed libraries can be used again Uninstall: $ pip uninstall package_name
Version upgrade of the current library:
$ pip install --upgrade package_name
or
$ pip install -U package_name
6. Freeze Python pip dependencies
Sometimes you want to output the current All installed packages in the environment, or generate a requirements file and then install it in another environment through this file. You can use the pip freeze command:
# List packages $ pip freeze docutils==0.11 Jinja2==2.7.2 MarkupSafe==0.19 Pygments==1.6 Sphinx==1.2.2 # Generate requirements.txt file $ pip freeze > requirements.txt
Note that packages are listed in sorted order (case-insensitive). If you only want to list packages that are not installed globally, use -l/--local.
7. View library information
You can use pip show -f package_name to list package information:
$ pip show -f pyyaml Name: PyYAML Version: 5.4.1 Summary: YAML parser and emitter for Python Home-page: https://pyyaml.org/ Author: Kirill Simonov Author-email: xi@resolvent.net License: MIT Location: /private/tmp/test/lib/python3.8/site-packages Requires: Required-by: awscli Files: PyYAML-5.4.1.dist-info/INSTALLER PyYAML-5.4.1.dist-info/LICENSE PyYAML-5.4.1.dist-info/METADATA PyYAML-5.4.1.dist-info/RECORD PyYAML-5.4.1.dist-info/WHEEL PyYAML-5.4.1.dist-info/top_level.txt ...
8. View libraries that need to be upgraded
Among the currently installed libraries, check which libraries need to be upgraded:
$ pip list -o PackageVersion Latest Type ---------- ------- ------ ----- docutils 0.15.20.18.1 wheel PyYAML 5.4.1 6.0wheel rsa4.7.2 4.8wheel setuptools 56.0.062.1.0 wheel
9. Check compatibility issues
To verify the compatibility dependencies of installed libraries, you can use pip check package-name:
$ pip check awscli No broken requirements found.
If you do not specify a package name, all packages will be checked for compatibility.
$ pip check pyramid 1.5.2 requires WebOb, which is not installed.
10. Download the library to the local
Download the library to the specified location locally and save it in whl format: pip download package_name -d "path"
$ pip download PyYAML-d "/tmp/" Looking in indexes: https://pypi.python.org/simple Collecting PyYAML Downloading PyYAML-6.0-cp38-cp38-macosx_10_9_x86_64.whl (192 kB) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 192.2/192.2 KB 4.7 MB/s eta 0:00:00 Saved ./PyYAML-6.0-cp38-cp38-macosx_10_9_x86_64.whl Successfully downloaded PyYAML $ ls /tmp/PyYAML-6.0-cp38-cp38-macosx_10_9_x86_64.whl /tmp/PyYAML-6.0-cp38-cp38-macosx_10_9_x86_64.whl
The above is the detailed content of Ten Tips for Using Python Pip. 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.

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.

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.

To run Python code in Sublime Text, you need to install the Python plug-in first, then create a .py file and write the code, and finally press Ctrl B to run the code, and the output will be displayed in the console.

Writing code in Visual Studio Code (VSCode) is simple and easy to use. Just install VSCode, create a project, select a language, create a file, write code, save and run it. The advantages of VSCode include cross-platform, free and open source, powerful features, rich extensions, and lightweight and fast.

Golang is better than Python in terms of performance and scalability. 1) Golang's compilation-type characteristics and efficient concurrency model make it perform well in high concurrency scenarios. 2) Python, as an interpreted language, executes slowly, but can optimize performance through tools such as Cython.

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.
