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How to carry out Python data analysis and learning, many novices are not very clear about this, in order to help you solve this problem, the following editor will explain for you in detail, people with this need can come to learn, I hope you can gain something.

Python is an object-oriented, literal translation computer programming language invented by GuidovanRossum at the end of 1989. Python is also called glue language because of its simplicity, easy to learn, free open source, portability, extensibility and so on.

Because Python has a very rich library, it is also widely used in the field of data analysis.

Understanding of Python working environment and basic grammar knowledge

For the basic grammar learning part of Python, the learning cycle is about 4 weeks, and the relevant resources you need can find free resources on the Internet, and the quality is good. The relevant Chinese resources are as follows:

1.python work Integrated Environment package

Python (XBI y): Pycharm:

2.python data Analysis related Library (Pandas/Numpy/)

Scipy/Matplotlib)

If the integration package above is installed, the package below does not need to be reinstalled. The installation method of the package is introduced in the Learning Resources Books. Usually, the pip method is used to install the library, and you can also use the piplist system to query which libraries are installed.

Data acquisition and learning

The study of the data acquisition part is mainly through the learning of python crawler to understand the basic external data collection, of course, we can also use the rule base written by others to directly complete some data collection. The learning cycle of this part of the content is about four weeks, and the relevant resources you need can find free resources on the Internet, and the quality is good.

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