1. After learning Python, do a web crawler
A large part of those who learn Python are learning crawlers, which is also one of the major advantages of Python. Google was the first to use Python as a web crawler.
Why write crawlers in Python?
Cross-platform, good support for both Linux and windows; scientific computing, numerical fitting: Numpy, Scipy; visualization: 2d: Matplotlib (the picture is very beautiful), 3d: Mayavi2; complex network: Networkx; statistics: with R language Interface: Rpy; interactive terminal.
Network programming is another direction of Python learning. Network programming is ubiquitous in life and development. Where there is communication, there is network, which is the "cornerstone" of all development. For all programming developers, it is necessary to know what it is and why, so the network part will conduct an in-depth analysis from the bottom layer of the protocol, packet, unpack, etc.
2. After learning Python, do artificial intelligence development
Let’s not talk about the development potential of artificial intelligence and the future of money. Everyone knows these things, but at present, there are still relatively few jobs in artificial intelligence, and they are all highly educated people. In the future, they will definitely be the most qualified The direction of development potential.
3. After learning Python to do server operation and maintenance
Operation and maintenance is not unfamiliar. The first batch of people who learn Python are the in-service personnel of operation and maintenance and testing, because Python plays a great role in their work, because Python scripts are used for batch file deployment and operation adjustment It has become a very good choice for Linux servers.
Fourth, after learning Python to do data analysis
On the Internet, you can know a lot of things, and they will analyze and recommend what you want based on what you watch and buy. The complete ecological environment owned by Python is very conducive to data analysis and processing. For example, the distributed computing, data visualization, and database operations required for "big data" analysis can all be completed through very mature modules in Python.
Five, do WEB development
Python has many free data function libraries, free web page template systems, and libraries for interacting with web servers, which can realize web development and build web frameworks. Currently, the more famous Python web framework is Django. Engaged in this field should learn from data, components, security and other fields, understand its working principle from the bottom and be able to control any mainstream web framework in the industry. 
6. Cloud Computing Development
Python is a programming language that needs to be mastered in cloud computing. The current popular cloud computing framework OpenStack is developed by Python. If you want to learn more and do secondary development, you need to have Python skills.
7. Game Development
In online game development, Python also has many applications. Compared with Lua or C++, Python has higher-level abstraction capabilities than Lua, and can describe game business logic with less code. Python is very suitable for writing projects with more than 10,000 lines , and can well control the scale of online game projects within 100,000 lines of code.
Everything should be done as early as possible, especially in the technical industry, we must improve our technical skills.
In fact, every programmer is also aware of the current dilemma he is facing, but there are too few people who can make timely changes and adapt to the changes of the times. After all, the situation of more people is that they are busy with work, and there is no one to lead the way, and they are not very good at planning. Do most people obviously "mountain Tai collapsed in front of them, and their faces are like dirt" can only watch themselves being eliminated by the industry?
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Python Study Outline
The technical points in all directions of Python are sorted out to form a summary of knowledge points in various fields. Its usefulness lies in that you can find corresponding learning resources according to the above knowledge points to ensure that you can learn more comprehensively.
Getting Started Learning Video
Python practical case
Optical theory is useless, you have to learn to follow along, and you have to do it yourself, so that you can apply what you have learned to practice. At this time, you can learn from some actual combat cases.
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