Shulou(Shulou.com)06/03 Report--

Today, I will publish the content of learning big data's analysis in the form of notes. I hope I can urge myself to learn and share it with you.

Big data's analysis is based on Python language. Often people ask me whether it is better to study java or python. I usually answer, if you have a basic knowledge of java, then learn java. After all, it is easy to learn. If you have no foundation, it is strongly recommended that you study python. Why? Because the future Internet of things, big data, AI and so on are basically python, you don't learn now and you will learn later, sooner or later!

Because I already have the foundation of python automated test development, the basic knowledge of python will not be included in this note. The notes still focus on the analysis of big data, so I don't have any friends on the basis of python. You know.

The analysis of big data is actually data preparation, data processing, data analysis, data visualization and so on. Although it seems that there are not many steps, it is actually quite troublesome to learn. I have never seen that the data is simple.

Because the level is limited, so the notes can not be very complete, just choose my own useful notes, do not like to make a detour (shut your noble mouth), ready? In the next part, we are ready to drive.

For previous articles on big data's test, please see the classification at the top of this blog.

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