[Python] pip command and usage

PIP command

The following is a pip command organized into a table and an example of its use:

Order	Usage example	illustrate
pip install <package>	pip install requests	Install the package named "requests"
pip uninstall <package>	pip uninstall requests	Uninstall the package named "requests"
pip list	pip list	List all packages installed in the current environment
pip show <package>	pip show requests	View the detailed information of the package named "requests", including version number, installation path, etc.
pip install --upgrade <package>	pip install --upgrade requests	Update the package named "requests" to the latest version
pip search <package>	pip search requests	Search for packages named "requests" and display related information
pip freeze > requirements.txt	pip freeze > requirements.txt	Export all packages installed in the current environment and their version numbers to a text file
pip install -r requirements.txt	pip install -r requirements.txt	Batch install packages and their version numbers from a text file
pip <command> --help	pip install --help	View help information for a specified command

Note: The examples in the above table all use the "requests" package as an example. In actual use, you can replace it with the name of other packages as needed.

pip is Python's package management tool, which is used to install, uninstall and manage Python packages. It is a module in the Python standard library that provides a command line interface to easily search, install and update various Python packages.

Through pip, you can easily install third-party libraries and tools in the Python environment to extend the functionality of Python. It automatically resolves the package's dependencies and ensures that the required dependencies are installed.

pip also supports downloading and installing packages from PyPI (Python Package Index), a repository for shared code by the Python community. There are tens of thousands of open source packages to choose from on PyPI, covering a variety of fields and functions.

In addition to package installation and uninstallation, pip also provides other functions, such as viewing the installed package list, upgrading packages to the latest version, exporting the installed package list, etc.

All in all, pip is one of the essential tools for Python developers. It can simplify the process of package management and dependency management, making it easier for you to use and manage Python packages.

PIP usage-third-party library installation

Here are some commonly used Python third-party libraries and tools, and examples of installing them using pip:

Library name	Installation command	illustrate
NumPy	pip install numpy	Library for scientific calculations and array operations
Pandas	pip install pandas	Provide high-performance, easy-to-use data structures and data analysis tools
Matplotlib	pip install matplotlib	Libraries for data visualization and plotting
Requests	pip install requests	Library for sending HTTP requests and communicating over the network
Scikit-learn	pip install scikit-learn	Libraries providing machine learning algorithms and tools
TensorFlow	pip install tensorflow	Open source libraries for deep learning and artificial intelligence
Django	pip install django	High-level Python framework for developing web applications
Flask	pip install flask	A lightweight web application framework suitable for building simple web applications
SQLAlchemy	pip install sqlalchemy	Library providing database access and ORM (Object Relational Mapping) functionality
Beautiful Soup	pip install beautifulsoup4	Library for parsing HTML and XML documents, often used in web crawlers
PyTorch	pip install torch	An open source machine learning library for building deep learning models
Selenium	pip install selenium	A library for automated web testing that simulates user actions in the browser
pytest	pip install pytest	Library for writing and running Python unit tests
Jupyter Notebook	pip install jupyter	Provides an interactive data analysis and visualization environment that supports running code and displaying results.
black	pip install black	Tools for automatically formatting Python code
Flask-RESTful	pip install flask-restful	Rapid development of RESTful API extensions based on Flask
Pillow	pip install pillow	A library for image processing that supports operations such as opening, saving, scaling, and cropping of images.
Celery	pip install celery	A distributed task queue framework for processing asynchronous tasks and scheduled tasks
Pygame	pip install pygame	Library for developing 2D games
openpyxl	pip install openpyxl	Library for manipulating Excel files
scikit-image	pip install scikit-image	Libraries providing image processing and computer vision algorithms
Flask-SQLAlchemy	pip install flask-sqlalchemy	Integrated SQLAlchemy Flask extension, simplifying the use of databases in Flask
Flask-WTF	pip install flask-wtf	Provides functionality for using web forms in Flask
PyMySQL	pip install pymysql	Library for connecting to and manipulating MySQL databases
SQLAlchemy-Utils	pip install sqlalchemy-utils	SQLAlchemy's practical toolset provides some commonly used database operation tools
Pygame Zero	pip install pgzero	A framework for simplifying Pygame game development
Flask-Login	pip install flask-login	Provide user authentication and authorization functions for Flask applications
Flask-Cors	pip install flask-cors	Provide cross-domain resource sharing capabilities for Flask applications
PyYAML	pip install pyyaml	Library for parsing and generating YAML files

The above are examples of some commonly used Python third-party libraries and tools. You can use the corresponding pip command to install them. Please note that the library names and installation commands in the examples may change over time, please refer to each library's official documentation for the latest installation information.

How to configure PIP

Configuring pip can be achieved by modifying the pip configuration file. On Windows systems, the pip configuration file is located in the %APPDATA%\pip\pip.ini path, while on Linux and macOS systems, the configuration file is located in the ~/.pip/pip.conf path.

Here are the steps on how to configure pip:

1. Open the pip configuration file (%APPDATA%\pip\pip.ini on Windows systems, ~/.pip/pip.conf on Linux and macOS systems).

2. If the configuration file does not exist, you can manually create an empty file.

3. In the configuration file, you can add or modify the following configuration options:

   • [global]: Global configuration option, applicable to all pip commands.
   • [install]: Installation related configuration options.
   • [uninstall]: Uninstall related configuration options.
   • [list]: Lists configuration options for installed packages.
   • [search]: Search package configuration options.
   • [wheel]: Configuration options for generating and installing binary wheel packages.
   • [cache]: Cache-related configuration options.
   • [index]: Configuration options related to package index.
   • [global]: Global configuration options.

4. In the configuration file, you can use the format key = value to set the value of the configuration option. For example:

   [global]
   trusted-host = pypi.org
   index-url = https://pypi.org/simple
   timeout = 10
   

   In the above example, trusted-host is set to pypi.org to trust the host, and index-url is set to < a i=4> represents the index address of the packet, and is set to to represent the timeout period of 10 seconds. https://pypi.org/simpletimeout10

5. Save the configuration file and close. When you rerun the pip command, the settings in the configuration file will be followed.

Please note that modifying pip's configuration files may require administrator rights or the use ofsudo commands, depending on the operating system and permission settings of the location where the files are located.

In addition, you can also temporarily configure pip through command line parameters, such as using --trusted-host, --index-url and other parameters to specify the trusted host and package index address. .

The above are the general steps and examples for configuring pip. You can set the pip configuration options according to your own needs.