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This article introduces the relevant knowledge of "is Python suitable for beginners?". In the operation of actual cases, many people will encounter such a dilemma. Then 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!

As an entry language, Python is very suitable for people with zero foundation for the following reasons:

1. The syntax is simple and clear. Python language is actually syntax + Flow control, while the syntax of Python is simple, the code is readable and easy to get started.

2. Python's philosophy is that there should be only one best way to do something, which is of great help to beginners in standardizing their own learning, but also helps beginners to understand other people's code.

3. Develop good habits. Python has strict requirements for code, especially Indentation, which is very helpful for beginners to develop good code habits.

4. Python syntax design is very excellent, thinking is more modern can faster understand some ideas of modern programming language

5. Python is still the traditional Class-based OO (compared to Javascript's prototype-based OO). Like Java,C#,Ruby, it is more popular. It is also appropriate to learn Design Pattern from Python.

6. Python's built-in data structure is clear and easy to use, while Library has a lot of excellent code.

7. Python free books many can find a lot of information to eat. At the same time, foreign communities are relatively concentrated, so you can ask the master if you have any questions.

8. Python is widely used in other fields, such as scientific computing, and Python is suitable for learning a language as a tool.

Python development is studied in stages, gradually from shallow to deep:

Stage 1, Python Foundation and Linux Database

The entry stage of Python is an important stage to help zero-foundation students lay a good foundation. Need to master Python basic syntax rules and variables, logic control, built-in data structures, file operations, advanced functions, modules, common standard library modules, functions, exception handling, MySQL use, cooperation and other knowledge points.

Master Python basic grammar, have basic programming ability; Linux basic operation commands, MySQL advanced content, complete bank ATM system actual combat, English-Chinese dictionary, lyrics parser and other projects.

Stage 2, WEB full stack

Mainly learn Web front-end related technology, you need to master HTML, CSS, JavaScript, jQuery, BootStrap, Web development foundation, VUE, Flask Views, Flask template, database operation, Flask configuration and other knowledge.

Master WEB front-end technical content, WEB back-end framework, proficient in the use of Flask, Tornado, Django, can complete data monitoring background projects.

Stage 3, data analysis + artificial intelligence

Mainly learn crawler-related knowledge points, master data crawling, data extraction, data storage, crawler concurrency, dynamic web crawling, scrapy framework, distributed crawler, reptile attack and defense, data structure, algorithm and other knowledge.

Master crawler, data acquisition, data mechanism and algorithm advancement and artificial intelligence technology. Can complete reptile attack and defense, picture mosaic, movie recommendation system, earthquake prediction, artificial intelligence projects and other stage projects.

Stage 4, advanced

Python advanced knowledge points, learning project development process, deployment, high concurrency, performance tuning, Go language basics, introduction to block chain, and so on. Master automatic operation and maintenance and block chain development technology, can complete automatic operation and maintenance projects, block chain and other projects.

By following the above four stages of learning Python, you can basically become a qualified Python development engineer. If you want to quickly become an elite talent to be recruited by enterprises, you should accumulate more projects and accumulate practical experience.

Python programming language does not have high requirements for learners. You can learn Python development if you want to study Python development or enter the Internet field through Python learning.

However, from the perspective of career development, if you are engaged in Web development, automated testing, automated operation and maintenance and other work direction in the future, 0 basic students can learn.

However, if you want to be engaged in artificial intelligence development, data science, etc., then you have at least a bachelor's degree or above, and practitioners in fields such as artificial intelligence and data science need to have a certain algorithmic foundation. Compared with students with the corresponding foundation, they are less competitive.

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