Data analysis with Python | Kai Hang

Before doing data analysis, many are using Oracle or MySQL, SQL to complete the query and statistical data analysis, but with the increase in data volume, the database with the development of a NoSQL database, due to the changes in the database and its underlying technology architecture, the data analysis algorithm has become complex, Python, however, implements the language and tools that this task applies to. Like what:

In [36]: for i in range(4):         ...:     for j in range(4):            ...:         if j > i:                ...:             break            ...:         print((i,y))

This is a program that prints a matrix array, and if Python can greatly simplify the code, the output is as follows:
(0, 7)
(1, 7)
(1, 7)
(2, 7)
(2, 7)
(2, 7)
(3, 7)
(3, 7)
(3, 7)
(3, 7)
Wow, Python&ipython, this is great!
Follow up on the methods and examples of Python's data analysis, so stay tuned for my blog updates.

Data analysis with Python | Kai Hang