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This article mainly introduces what Python can do, the article is very detailed, has a certain reference value, interested friends must read it!

The popularity of Python has been high, in addition to easy to learn, landing to the application level also has many directions, operation and maintenance, automated testing, back-end development, machine learning … More approachable is the performance of Python in the field of data analysis:

Actual combat case study using Python data analysis

"Life is short, I use Python". There will be a lot of data to be processed in all industries. Python has a unique advantage in the field of data processing. Call the matplotlib library to quickly sort out the data and draw a graph with a few lines of code:

Call the matplotlib library and use a few lines of code to quickly sort out the data and draw the graph.

Meme crawling can be realized by writing dozens of lines of code.

It used to be said that time is money, in this era, information is money, massive data hidden in a variety of opportunities. As a result, there is a growing demand for well-paid data analysts in the market.

With more than 5 years of experience, more than 30k is appropriate.

Python as a tool allows us to better focus on "analysis". * * if you want to become a very professional data analyst, you need long-term self-driven learning. You can not only have certain technical skills, but also need some business experience. * * you can give better play to the value of data and empower the actual business.

The above is all the contents of this article "what can Python do?" Thank you for reading! Hope to share the content to help you, more related knowledge, welcome to follow the industry information channel!

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