


Reveal the storage location analysis of pip installation package
pip is a Python package management tool that can easily install, upgrade and uninstall various Python packages. When you use pip to install a package, it automatically downloads the source code of the package and installs it into the system. During the installation process, pip will store the package to a specific location, which determines how we reference the installed package in our code.
Generally, pip will store packages in Python's site-packages directory, which is a place that is automatically generated when Python is installed to store third-party packages. Its path can be obtained through the following code:
import site
print(site.getsitepackages())
Output example:
['/usr/local/lib/python3. 7/site-packages']
The paths in the above results will vary depending on the operating system. The site-packages directory under this path stores folders of packages that have been installed through pip.
We can view the packages installed in the system and their storage locations through the following steps:
- Open the terminal (Mac or Linux) or command line prompt (Windows);
- Run the following command:
pip list --format=columns
This command will list all packages installed in the current system, and display their version number and location. Location.
For individual pip installed packages, you can add the package name after the pip list command to filter, for example:
pip list numpy
This command will only list the name For the numpy package, its version number and storage location.
Sometimes, we may encounter the coexistence of multiple Python versions. In this case, each Python version has its own site-packages directory. The site-packages directory used by the Python interpreter by default can be obtained by the following code:
import site
print(site.getsitepackages()[0])
Output example:
/usr/local/lib/python3.7/site-packages
In addition to the site-packages directory, there is also a directory called dist-packages, which is also used to store third-party packages. The dist-packages directory is similar to site-packages, but it is used to store Python packages installed by Linux package management systems (such as apt).
In addition to the default site-packages or dist-packages directory, sometimes we may want to install packages to other locations. When using pip to install, you can specify the installation path of the package through the parameter --target. For example, to install a package into the lib folder in the current working directory, you can run the following command:
pip install package_name --target=./lib
In this way, the installed package will Stored in the lib folder under the current working directory.
To summarize, the storage location of packages installed by pip is generally Python's site-packages directory or dist-packages directory. We can view the storage location of installed packages through the pip list command, or install the package to the location we specify by using the --target parameter.
The above is the detailed content of Reveal the storage location analysis of pip installation package. For more information, please follow other related articles on the PHP Chinese website!

To maximize the efficiency of learning Python in a limited time, you can use Python's datetime, time, and schedule modules. 1. The datetime module is used to record and plan learning time. 2. The time module helps to set study and rest time. 3. The schedule module automatically arranges weekly learning tasks.

Python excels in gaming and GUI development. 1) Game development uses Pygame, providing drawing, audio and other functions, which are suitable for creating 2D games. 2) GUI development can choose Tkinter or PyQt. Tkinter is simple and easy to use, PyQt has rich functions and is suitable for professional development.

Python is suitable for data science, web development and automation tasks, while C is suitable for system programming, game development and embedded systems. Python is known for its simplicity and powerful ecosystem, while C is known for its high performance and underlying control capabilities.

You can learn basic programming concepts and skills of Python within 2 hours. 1. Learn variables and data types, 2. Master control flow (conditional statements and loops), 3. Understand the definition and use of functions, 4. Quickly get started with Python programming through simple examples and code snippets.

Python is widely used in the fields of web development, data science, machine learning, automation and scripting. 1) In web development, Django and Flask frameworks simplify the development process. 2) In the fields of data science and machine learning, NumPy, Pandas, Scikit-learn and TensorFlow libraries provide strong support. 3) In terms of automation and scripting, Python is suitable for tasks such as automated testing and system management.

You can learn the basics of Python within two hours. 1. Learn variables and data types, 2. Master control structures such as if statements and loops, 3. Understand the definition and use of functions. These will help you start writing simple Python programs.

How to teach computer novice programming basics within 10 hours? If you only have 10 hours to teach computer novice some programming knowledge, what would you choose to teach...

How to avoid being detected when using FiddlerEverywhere for man-in-the-middle readings When you use FiddlerEverywhere...


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

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

EditPlus Chinese cracked version
Small size, syntax highlighting, does not support code prompt function

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

MinGW - Minimalist GNU for Windows
This project is in the process of being migrated to osdn.net/projects/mingw, you can continue to follow us there. MinGW: A native Windows port of the GNU Compiler Collection (GCC), freely distributable import libraries and header files for building native Windows applications; includes extensions to the MSVC runtime to support C99 functionality. All MinGW software can run on 64-bit Windows platforms.

SublimeText3 Linux new version
SublimeText3 Linux latest version

DVWA
Damn Vulnerable Web App (DVWA) is a PHP/MySQL web application that is very vulnerable. Its main goals are to be an aid for security professionals to test their skills and tools in a legal environment, to help web developers better understand the process of securing web applications, and to help teachers/students teach/learn in a classroom environment Web application security. The goal of DVWA is to practice some of the most common web vulnerabilities through a simple and straightforward interface, with varying degrees of difficulty. Please note that this software