What basics are needed for python?

The foundation required for python includes: 1. Strong logical thinking ability; 2. Strong mathematical and physics background; 3. Rich operation and maintenance experience; 4. Engaged in full-stack web development; 5. Be familiar with some front-end knowledge, etc.

#Although not many domestic universities offer Python, it does not mean that the language Python is not important. Many students who have participated in mathematical modeling competitions may have experienced the power of Python in the field of scientific computing. But Python, known as the "glue language", has broader uses in the computer and Internet fields! Moreover, Python, together with C, C, C#, and Java, is currently the five mainstream programming languages ​​​​in the world; it is the well-deserved first language in the fields of data analysis, cloud computing system management, artificial intelligence, etc., and is the first language in web, game scripts, robots, etc. It also performed well in the field of Internet of Things development.

Recommended course: Python Tutorial.

For students who want to learn Python by themselves, you can conduct a self-assessment of your knowledge structure and future career plans before starting to learn. If the evaluation results are good, getting started with Python is not as difficult as imagined. Enough chatter and get to the point! The author believes that students suitable for learning Python should have the following key qualities:

1. Have strong logical thinking ability

Yes, almost all programming languages All learning is inseparable from strong logical thinking ability, because programming language is a dialogue between humans and computers, and any ambiguities and errors will affect the final operating effect;

2. Have strong mathematical skills Professional background

The most ideal majors for learning Python are mathematics, statistics, physics, computer science and other majors, because the objects operated by the Python language are likely to be big data collection and analysis, as well as AI development Fields, having the above subject background will have a good advantage in future development;

3. Have rich operation and maintenance experience

There may be many students who study computer science After graduation, I worked in the operation and maintenance of servers and backend management, which has both advantages and disadvantages. The so-called advantage is that there are ready-made products in front of you, and you will have a better understanding of product development during the operation and maintenance process. However, the disadvantage is that the help for your own technical improvement may be limited. Learning Python at this time is more about switching from operation and maintenance to development, which is also a new plan for your career;

4. Engage in full-stack web development

In the past, Java was the protagonist in web development, but now more and more web developers are beginning to favor Python. The reason is actually because of the increasing amount of network data and the popularity of artificial intelligence. Therefore, proficiency in the Python language is essential for engaging in full-stack web development. The development will have a positive impact.

After you have the necessary conditions to learn Python, you can start to learn systematically in stages and steps

1. First, learn Linux well

Linux It is an operating platform that developers must master. On this platform, whether it is developing web projects, running SQL databases, or deploying crawlers, big data analysis, and AI development, it can all be implemented well;

2. Master the basics of Python

As a programming language, learning can be roughly divided into several parts: programming grammar, object-oriented programming ideas, common design patterns, common sorting algorithms, these There are many content expansions, so I won’t go into details here;

3. Master database SQL

The content includes the design of relational database tables, additions, deletions, modifications, and SQL statements Writing, usage scenarios and design difficulties of SQL and NoSQL databases, Python connection to the database;

4. Familiar with some front-end knowledge

mainly HTML and CSS , Java and frameworks, and understand the popular web page styles and special effects;

5. Understand web full-stack development

Remind everyone that the key is to master the Django framework, so as to To learn how to develop a complete enterprise-level website;

6. Master artificial intelligence (crawlers and search)

The content includes the usage of HTTP debugger, crawling crawlers Index and search the data, stand-alone or distributed index engine;

7. Master the preliminary big data analysis

The content includes distributed file system HDFS, distributed Resource management framework Yarn, building distributed message queue Kafka, distributed computing framework Spark;

8. Understanding the principles of machine learning

Establishing machine learning ideas and commonly used machine learning Algorithms, common modules for machine learning in Python, common frameworks for machine learning based on massive data based on distributed clusters, etc.;

9. Understand what deep learning is

This part Relatively cutting-edge, such as the deep learning framework TensorFlow and other content.

Having said so much, I still want to remind everyone of the two most important points:

First, students with poor English foundation should consider resuming your "morning reading" System", because Python is also a programming language that is almost life-like, and it cannot be solved by memorizing a few common words. Of course, you must also be proficient in the professional vocabulary of programming, so that you will not be too embarrassed when studying and working in the future;

Second, type more code! Just reading books and understanding videos is not enough. Without a certain amount of code to accumulate, it is difficult to have a clear and smooth idea when working on a project.

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