What are the future development directions of Python from zero basics to proficiency?

The characteristics of Python: simple, easy to learn, free and open source, high-level language, portability, interpretability, object-oriented, scalability, embeddability, and rich libraries. Object-oriented: Python supports both procedural and object-oriented programming.

In recent years, the Python language has become more and more popular. Because Python is simple and fast to learn, it is the first choice language for many novice programmers to get started.

Let’s take a look at several directions for the future development of Python:

0. WEB development

We all know that the Web front-end has always been an existence that cannot be ignored. We cannot do without the Internet and the Web front-end. We can use the Python framework to build websites, and they all have exquisite front-end interfaces. In addition, we need to master some data applications.

Douban uses Python as the basic language for web development. Zhihu’s entire architecture is also based on the Python language, which has led to good development of web development in China.

After learning Python, you can do web development, because there are relatively few people learning Python in China, but there are many people recruiting Python. So Python Web is a very good choice.

1. Web crawler

Uses all data on the network as resources and conducts targeted data collection and processing through automated programs. The crawler development project covers anti-crawler strategies, high-performance asynchronous IO, distributed crawlers, etc., and conducts in-depth analysis of the Scrapy framework source code to understand its principles and implement a customized crawler framework.

The most commonly used case of Python is web crawling. The first person to use Python for web crawling was Google, and Python was also driven to develop.

Python has many tools accumulated in this area. For example, Requests for simulating HTTP requests, PyQuery/BeautifulSoup for HTML DOM parsing, and Scrapy for automating distributed crawling tasks, all make Python one of the preferred languages ??for data crawling. Python is also particularly good at analyzing and calculating crawled data.

The most popular web crawler framework in Python is the very powerful Scrapy. Therefore, web crawlers are also a good development direction for Python.

2. Artificial intelligence (AI) and machine learning

Artificial intelligence is a hot field now, which makes the future of the Python language full of unlimited potential. Python is dynamic enough and has sufficient performance, which are the technical characteristics required by AI technology.

Most tool frameworks in machine learning, especially the currently popular deep learning, provide Python interfaces, because Python’s concise and clear syntax is loved by developers.

3. Data analysis

Python has a complete ecological environment, which is very conducive to data analysis and processing, such as distributed computing and data visualization required for "big data" analysis. , database operations, etc., can all be completed through very mature modules in Python.

4. Server operation and maintenance

Python also has a place in the server operation and maintenance part. At present, almost all Linux distributions come with a Python interpreter. Using Python scripts for batch file deployment and operation adjustment has become a very good choice on Linux servers. And Linux operation and maintenance must master the Python language. Python is a very NB programming language. It can meet the work needs of Linux operation and maintenance engineers and improve their own abilities. Operation and maintenance engineers need to independently develop a complete When building an automated system, this is the time when real value is reflected, and only then can you prove your ability and make your boss take it seriously.

5. Python automated testing

Everyone knows that the Python language is very helpful for testing. The Python language is widely used in automated testing and can improve work efficiency. It can be said that Python is too powerful to master and be familiar with the automated processes, methods and various templates we always use.

The above directions are what I introduced to you. If you want to learn Python, you can join the industry as soon as possible