There is a very strong and complete data analysis structure system, can teach their own things perfectly to the students, good at creating their own problem solving methods, skillful, mastered the method to be able to get rapid improvement. Peanut thirteen's class is generally not much, but are the essence. During the preparation period, I watched Peanut Thirteen's lessons three times, and each time I would have different feelings. Watching the peanut thirteen class must be focused, it is best to build a good foundation before going to watch, so you will learn a lot easier. Reliable

Big Data and Python are two dimensions of two things from the root. If you can't understand that, it's the equivalent of asking the question, please, am I better off learning to cook Huaiyang cuisine or learning to build iron pots?

One is the root and the other is an extension. You can choose to make Huaiyang cuisine in an iron pot, or you can make Sichuan cuisine in an iron pot. You can even use a non-stick skillet for cooking if you want. The end result will all be very similar. Maybe you saw some articles on the Internet that Java big data engineers are paid very well, and then you saw that Python engineers can get much, much more monthly salary. So it creates a rather ambiguous question in the title. Maybe it is more relevant to modify it. Do big data should learn Python good or Java good?

From the current market, Python may be a bit more favored. For example, what are you going to do with the huge amount of data you've taken? Isn't it going to go with AI to get things going? Python, PyTorch, TensorFlow, MXNet and other third-party deep learning libraries are all very mature. Do you want to do data visualization? What kind of data visualization tools should you use now? Python! Matplotlib or some other visualization libraries based on it, such as seaborn and so on. Matplotlib or some other visualization libraries based on it, such as seaborn. Is it to do scientific computing? How to do scientific calculations more convenient now?Python ah! numpy, pandas, scipy, to do up mathematical calculations is simply cool, large matrices out of the answer in seconds, a variety of mathematical formulas a line of code to solve the problem.

Of course, Java also has a lot of great third-party library support, but the current trend in the world is that Python's share is getting bigger and bigger, and if you don't have too much affection for Java, you can put more energy into Python. If you are a newbie and don't have much coding experience, you can start with Java or .Net.