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This article introduces the relevant knowledge of "what are the methods of getting started with zero-basic Python". In the operation of actual cases, many people will encounter such a dilemma, so let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

1. Getting started with Python

Required knowledge: [Python basic data structure] [Python basic Syntax] [File manipulation] [error and exception handling] [Python object-oriented] [Modularization]

As a first step, you need to master the core basics of Python. Of course, unlike other basic textbooks, I not only talk about basic concepts and operations, but also sort out a lot of advanced and difficult knowledge for you, or some important and difficult points that need to be paid attention to. It not only allows entry-level programmers to check and fill gaps and salvage the foundation, but also allows experienced programmers to re-understand the foundation and sublimate their understanding from an engineering point of view.

2. Python advanced core knowledge

Required knowledge: [Python protocol] [Python advanced syntax] [Python regular expression] [Python concurrent programming] [garbage collection mechanism] [project combat]

The second step is to advance the core knowledge of Python, such as decorators, concurrent programming, and so on. If your job is to write scripts with less than 100 lines, you may not need it. But if you are doing the development of large programs, it is very necessary.

3. Specification: write high-quality Python programs

This section focuses on teaching you to make the program more standardized and stable. In practical work, I have seen many programmers who can write programs, but they are really a bit "miserable", resulting in constant errors in debugging and great difficulty in modification. Therefore, I think it is very necessary to use a single section to explain this problem.

Of course, I will not use some specious specifications to preach, but will use specific programming operations and skills to teach you to improve the quality of your code. For example, how to decompose the code reasonably, how to use assert, how to write unit tests, and so on.

4. Python actual combat, connect the entire knowledge system: take you to build a quantitative trading system

Required knowledge: [RESTful] [Socket] [Pandas] [Numpy] [Kafka] [RabbitMQ] [MySQL] [Django]

A person who has never fired a gun on a battlefield cannot be a chief official, and a language learner without actual combat experience cannot become a master. In this part, I will take you to comprehensively apply the Python knowledge you have learned before by quantifying the actual combat case of the trading system.

If you really want to master a programming language, it is not enough to learn scattered knowledge points, but also to connect knowledge points together and do some medium-sized projects in order to have deeper understanding and improvement.

This is the end of the introduction to Zero basic Python. Thank you for your reading. If you want to know more about the industry, you can follow the website, the editor will output more high-quality practical articles for you!

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