Python language can be applied in various fields, mainly because it has strong third-party library support and is open source and runs cross-platform.
The specific applications are as follows:
1. Data science
Includes machine learning, data analysis and data visualization.
Using Python for Machine Learning
There are some popular Python machine learning libraries and frameworks, the two most popular of which are scikit-learn and TensorFlow.
scikit-learn comes with some of the more popular built-in machine learning algorithms.
TensorFlow is more like a low-level library that allows you to build custom machine learning algorithms.
Data Analysis/Visualization with Python
One of the most popular data visualization libraries is Matplotlib.
2. Website Development
Python-based web frameworks like Django and Flask have become very popular in web development recently.
These web frameworks help you create server-side code (back-end code) in Python. These codes run on your server rather than on the user's device and browser (front-end code).
3. Scripting
What is scripting?
Usually, scripting refers to writing small programs to automate simple tasks. Although many companies do not use Python as their core business, they also use it extensively in management systems, operation and maintenance, etc. For example, Facebook engineers maintain thousands of Python projects, including infrastructure management, advertising API, etc.
Recommended tutorial: python tutorial
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