How to get started with Python?

First of all, I will learn the basic syntax of python, the understanding of object-oriented programming and programming mode, the basis of python data analysis, python network programming, python concurrent and efficient programming and so on.

Understand and master the use of constant variables, operators, process control, etc. Through the early python learning, I finally mastered the basic content of python programming language.

And will learn commonly used data structures and corresponding algorithms, and pay attention to table processing and tree structure processing knowledge.

In the second stage, the main learning contents are web page development, web page special effects development, data persistence development, linux operation and maintenance development, linux test development, server cluster architecture and so on.

To master js and use it in the front end of the network, it is necessary to study and master js in detail, which will lay the foundation for the future full stack work. At the same time, it will also learn the basic knowledge of linux operating system, master the common commands of linux operating system, and learn the skills of automatic operation and maintenance of linux.

In the third stage, we mainly study web crawler, data analysis and artificial intelligence:

There are many things to learn at this stage, such as: crawler and data, multithreaded crawler, go language, NoSQL database, Scrapy-Redis framework.

It is necessary to master the working principle and design idea of crawler, master the anti-crawler mechanism, and obtain a large amount of data by learning NoSQL database and Scrapy-Redis framework and using distributed crawler framework.

Data analysis and artificial intelligence stage need to learn data analysis, artificial intelligence deep learning, quantitative trading model, data analysis-feature engineering and result visualization, artificial intelligence machine learning and so on.

It is necessary to understand the concept and properties of digital characteristics of random variables, and use the properties to calculate the digital characteristics of random variables, understand the visualization process, and draw graphics. And you need to master the Matplotlib module, common machine learning algorithms and so on.

Finally, for the introductory learning of python, while learning python's theory and basic grammar, we should do more work and contact more. But for our zero-based friends, self-study is generally not recommended.

You must ask why. I knew it! There are probably three reasons:

First of all, although the cost of self-taught examination is low and the study time is flexible, have you ever thought about how long it will take you to learn by yourself before reaching the level of employment? You may need about 65,438+0 years to quit your job and study at home, or you may need to take classes and practice every day, so you may not learn or change the skills that the enterprise needs. Then the students who signed up for the class have finished their studies for half a year.

Secondly, learning knowledge is systematic and cutting-edge. Learning in IT industry must be systematic. I can't say that I have learned a little here and there. After that, it was all a piece of knowledge. It sounds like you did, but you don't need it when you actually do the project, which is very time-consuming. Followed by the frontier. When studying, you must choose the latest syllabus and the latest courses. The technology in the IT industry has been updated rapidly.

Finally, employment services and security. When we choose to apply for classes, we usually have employment services. Of course, we will also conduct mock interviews and resume guidance after studying. The second is service. General training institutions have cooperative enterprises to recruit, which greatly increases our employment opportunities.

All in all, you are a zero-based choice, and training is definitely the fastest way to change careers!