Where to put the packages installed by python pip
Use pip list to view the installed package names
Then use pip show package name, you can see where it is installed
Usually installed in the lib/site-packages directory under the python installation directory!
Determine the location of the site-packages directory in the current Python environment
How does Python check its own default installation path of third-party libraries
python -m site
Without pip, Python is listed in Extract all installed software packages
In the python interactive interface, enter
help('modules')
According to the echo
Enter the specific module name to get the help information of this module
help('grpc')
Start the python command line and enter the following two lines of commands
import networkx
networkx.version
>>> import requests >>> requests.__version__ '2.19.1' >>> import datetime >>> datetime.__version__ Traceback (most recent call last): File "<stdin>", line 1, in <module> AttributeError: 'module' object has no attribute '__version__'
>>> help(requests) ... VERSION 2.19.1 AUTHOR Kenneth Reitz FILE d:\program files\python-3.7.0\lib\site-packages\requests\__init__.py ...
Extension: Python Check the location of the package installed by pip (check the path of the pip installation package)
The pip list | grep package_name command displays and obtains the information of the installed package (package name and version number)
The pip show package_name command can display the relevant information of the installed package, including its installation path. In fact, packages are usually installed in the lib\site-packages directory under the python installation directory
The above is the detailed content of How to view the package directory installed by Python pip?. For more information, please follow other related articles on the PHP Chinese website!

Python and C each have their own advantages, and the choice should be based on project requirements. 1) Python is suitable for rapid development and data processing due to its concise syntax and dynamic typing. 2)C is suitable for high performance and system programming due to its static typing and manual memory management.

Choosing Python or C depends on project requirements: 1) If you need rapid development, data processing and prototype design, choose Python; 2) If you need high performance, low latency and close hardware control, choose C.

By investing 2 hours of Python learning every day, you can effectively improve your programming skills. 1. Learn new knowledge: read documents or watch tutorials. 2. Practice: Write code and complete exercises. 3. Review: Consolidate the content you have learned. 4. Project practice: Apply what you have learned in actual projects. Such a structured learning plan can help you systematically master Python and achieve career goals.

Methods to learn Python efficiently within two hours include: 1. Review the basic knowledge and ensure that you are familiar with Python installation and basic syntax; 2. Understand the core concepts of Python, such as variables, lists, functions, etc.; 3. Master basic and advanced usage by using examples; 4. Learn common errors and debugging techniques; 5. Apply performance optimization and best practices, such as using list comprehensions and following the PEP8 style guide.

Python is suitable for beginners and data science, and C is suitable for system programming and game development. 1. Python is simple and easy to use, suitable for data science and web development. 2.C provides high performance and control, suitable for game development and system programming. The choice should be based on project needs and personal interests.

Python is more suitable for data science and rapid development, while C is more suitable for high performance and system programming. 1. Python syntax is concise and easy to learn, suitable for data processing and scientific computing. 2.C has complex syntax but excellent performance and is often used in game development and system programming.

It is feasible to invest two hours a day to learn Python. 1. Learn new knowledge: Learn new concepts in one hour, such as lists and dictionaries. 2. Practice and exercises: Use one hour to perform programming exercises, such as writing small programs. Through reasonable planning and perseverance, you can master the core concepts of Python in a short time.

Python is easier to learn and use, while C is more powerful but complex. 1. Python syntax is concise and suitable for beginners. Dynamic typing and automatic memory management make it easy to use, but may cause runtime errors. 2.C provides low-level control and advanced features, suitable for high-performance applications, but has a high learning threshold and requires manual memory and type safety management.


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