How to use python third-party library

How to use the python third-party library: First enter the "pip install" command on the command line; then install the software package; finally use the import statement to call the third-party library.

#Independent developers have written thousands of third-party libraries! These libraries can be installed using pip. pip is the package manager included in Python 3. It is the standard Python package manager, but it is not the only one. Another popular manager is Anaconda, which is specifically targeted at data science.

To install a package using pip, enter "pip install" at the command line, followed by the package name, as follows: pip install

When using python's third-party libraries, you need to call them using the import statement

Practical third-party software packages

It is easy to install and import third-party libraries Useful, but to be a good programmer, you also need to know what libraries are available. People usually learn about useful new libraries through online recommendations or introductions from colleagues. If you're new to Python programming, you probably don't have many colleagues, so to help you get started, here's a list of packages that engineers love to use

IPython - A better interactive Python interpreter

python - Provides easy-to-use methods for making network requests. Suitable for accessing web APIs.

Flask - A small framework for building web applications and APIs.

Django - A richer web application building framework. Django is particularly suitable for designing complex, content-rich web applications.

Beautiful Soup - Used to parse HTML and extract information from it. Suitable for web page data extraction.

pytest- extends Python’s built-in assertions and is the most unitary module.

PyYAML - Used to read and write YAML files.

NumPy - The most basic package for scientific computing using Python. It contains a powerful N-dimensional array object, useful linear algebra functions, and more.

pandas - A library containing high-performance, data structure and data analysis tools. In particular, pandas provides dataframes!

matplotlib - A 2D plotting library that generates high-quality images that meet publishing standards in a variety of hardcopy formats and interactive environments.

ggplot - Another 2D drawing library based on R’s ggplot2 library.

Pillow - Python picture library that adds image processing capabilities to your Python interpreter.

pyglet - a cross-platform application framework specifically for game development.

Pygame - A series of Python modules for writing games.

pytz - Python's world time zone definition.

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