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This article mainly shows you "what are the advantages of python application data science". The content is simple and clear. I hope it can help you solve your doubts. Let me lead you to study and learn the article "what are the advantages of python application data science".

1. It's easy to learn.

In short, you have to reduce coding to get the job done with Python, which means you'll learn more about core functions instead of focusing on grammar all day. Now, you may need 10-12 lines of code in other languages, and Python can help you accomplish the same task with 4-5 lines of code. As a result, you have more time to play and try to learn rather than struggle with the code.

2. It is easy to understand and the learning curve of Python is very short.

The language is also friendly to beginners, providing unparalleled readability and simplicity. Now in other languages, you may need to read documentation to write code for complex aspects, but with Python, you are more likely to choose to experiment, understand, and correct yourself.

3. It has preloaded functions and libraries, and mathematical and statistical processes are often used to analyze and visualize data when working in the field of data science.

Writing these functions from scratch each time is a very complex and time-consuming process. This is where Python comes in handy-it has a large number of preloaded functions and libraries that apply only to data science.

4. Is a reliable community.

Because Python is very popular and is an open source language, you can rely on one of the most supported open communities. Whenever you encounter difficulties or problems with a library or module, you can contact the community for help or guidance at any time.

5. Flexibility.

Last but not least, Python is flexible. Even professionals who have not tried specific processes or functions before prefer Python to other languages to try and experiment with the same language.

These are all the contents of the article "what are the advantages of python Applied data Science". Thank you for reading! I believe we all have a certain understanding, hope to share the content to help you, if you want to learn more knowledge, welcome to follow the industry information channel!

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