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This article mainly introduces "what are the learning methods for getting started with Python". In the daily operation, I believe that many people have doubts about the learning methods for getting started with Python. The editor consulted all kinds of materials and sorted out simple and easy-to-use operation methods. I hope it will be helpful for you to answer the doubts about "what are the learning methods for getting started with Python?" Next, please follow the editor to study!

NO.1 beginner stage, learn the basics

Generally speaking, find a reliable book, from shallow to deep, while reading while practicing.

There are so many online tutorials that I don't know how to choose. All tutorials are similar in terms of introduction to the basics, but the difference lies in whether they are detailed enough (such as how they work) and whether they have enough practice. At present, we recommend you to read the book "Python programming from introduction to practice", the author is an American teacher, the content starts from the basic knowledge, step by step, layers of depth, suitable for those with zero foundation. The second part of the course includes three projects: aliens, data visualization, and Web applications.

Don't read many books, focus on one, read from beginning to end, practice the examples and exercises, and figure out why. Programming is inseparable from practice from the very beginning, and it is impossible to watch it. Only when you type the code line by line on the computer, will you find the details that you have not noticed, and can you have a deeper understanding. Indentation, case, parentheses, quotation marks, the way the code is executed, etc., are all early learning pits, remember, do not copy the code directly, be sure to manually knock the code, run the code.

The most important thing at this stage is to learn the basic knowledge well. Once you have mastered the basics, you can begin to do project exercises to exercise your programming thinking.

NO.2 does the project practice phase to exercise programming thinking.

Once you have mastered the basics of Python, you can write code, but you can't master "programming thinking". Therefore, we need more practice to understand the structural design of the program, algorithms, etc., and insist on not using 2 lines of code for things that can be solved with 1 line of code; it won't take 2 seconds to complete the operation in 1 second

There are a lot of Python entry-level training projects on the Internet, such as Zhihu "what are the recommended Python training programs", and there are a lot of them. Practice projects, you can exercise your programming thinking, while understanding Python built-in libraries and third-party libraries, and begin to learn how to use these libraries

In the introduction to programming, it is best to find someone who already knows Python and consult when you encounter problems. You can take a lot of detours. However, learn to look at official documents and search, and learn how to better ask questions. No one wants to help you with your homework or answer those "you'll know" questions. It is important to learn how to solve problems, which will accompany your programming career.

NO.3 real project combat phase, practical application

After a period of study and practice, after writing some small programs, you will often fall into a bottleneck. At this time, you will write code and do problems. However, there is still a lack of understanding of real project development (such as how to start the game "Alien *"). Once the program is large, you can't start, and you don't know where to start. This is the time to challenge specific projects. The vast world of crawlers, web development, data analysis, machine learning and so on is open to you.

The following graphs can provide you with some learning ideas.

At this stage, we need to have a clear development goal, and make a certain design and functional division of the goal, and then develop gradually until it is completed. All kinds of problems will be encountered, and when you continue to solve problems, your development level and problem-solving ability will also be improved.

Also for example: the following are the practical applications of some projects, providing solutions and implementation processes

Grab the pictures of beautiful women and save them.

Face recognition-capture pictures of beautiful women whose faces are more than 70 points

Movie ticket price comparison network

12306 ticket grabbing procedure

Programming mentality is important because programming is a combination of theory and practice, and practice is more important. Start with a simple program and keep practicing. There must be no hurry. Haste makes waste. Don't worry too much about whether the project you are working on is cool and classy. For the learning stage, no matter a good project or a bad project, as long as it is written, it is not wasted. When your number of lines of code accumulates to a certain extent, you will find that your programming ability is no longer at the same level as it was then.

NO.4 advanced promotion, learning multithreading and choosing direction

At this stage, you are ready to write a project, but you may not know enough about the bottom. For example, how can the same amount of code make the code run faster and save memory? These need to be constantly improved, need to learn multi-threading and multi-process. I am currently at this stage, and I am also in a state of learning, so what I am saying may not be entirely correct. Let's explore together.

Learning programming requires perseverance, for beginners need to choose a field of interest, choose a direction, focus on in-depth study, and strive to become experts in this field. Of course, the gods are generally powerful in every field, so who makes us rookies? let's first choose a direction and work hard in a down-to-earth manner.

Web development direction

It is recommended to take a look at the simple framework flask, and recommend "Flask Web Development: Web Application Development based on Python"

Direction of data analysis

It is recommended to see "using Python for big data Analysis", mainly talking about Pandas library and data analysis. Many financial giants use Python for data analysis. To quote the great god Kirat, "it is rapidly replacing the tools and languages used in mainstream financial institutions and becoming the de facto standard."

The direction of scientific calculation

It is suggested to see "python_sci uses python for scientific calculation".

The Machine Learning Direction of AI

Computer Vision Direction of AI

I suggest "Python computer Vision programming". I'm still watching it, although I haven't seen much.

Direction of web crawler

At this point, the study of "what are the learning methods for getting started with Python" is over. I hope to be able to solve your doubts. The collocation of theory and practice can better help you learn, go and try it! If you want to continue to learn more related knowledge, please continue to follow the website, the editor will continue to work hard to bring you more practical articles!

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