foreword
Recently, with the explosion of AIGC, the upsurge of AI has been rekindled. Everyone should know that the mainstream programming language for AI modeling is Python, and the mainstream tools for data analysis and data plotting are also Python, and Python can also do big data (such as pyspark). So Python is especially important in the current context. Illiteracy used to be defined as illiteracy, and in the future, ignorance of programming may be a new generation of "illiteracy" . This sentence can only be seen by the benevolent, but I agree very much.
During this period, some full-timers often ask related Python questions and leave messages to me, hoping that I will recommend some courses, including those of all ages: Beginners of AI artificial intelligence, parents of middle and high school children, etc. Their core is how to improve themselves and children, how to be more competitive, and open up new perspectives and thinking (in short, "how to roll" to roll well). Based on this background, after discussing and communicating with Mr. Sita, we decided to share the carefully crafted " Python Introduction and Enterprise Application Practical Course" for free ( it was charged before, see the screenshot below, and you can also share it yourself) Baidu), I hope this sharing can make everyone learn something, and we will continue to share more high-quality content in the future.
Next, let's get to the topic. This article will introduce based on the following parts:
First: Course Introduction
Second: suitable for the group
Third: Download the complete course package
Fourth: study suggestions
text
First: Course Introduction
Python tutorial "Learning Python with zero foundation"|Pandas|seaborn|numpy|matplotlib tutorial|visualization tutorial|project combat|data analysis|little turtle|children
Second: suitable for the group ( Note: zero foundation, learnable! )
Current students/fresh graduates/research personnel: draw and analyze paper data charts and enhance job-seeking competitiveness
Data analysts: improve work efficiency and employment advantages
Artificial intelligence beginners: Python programming and scientific computing libraries are essential skills for AI siege lions
to operate/ Marketing/Finance: Avoid repetitive work, liberate yourself through programming, improve efficiency and employment advantages.
Changing careers: You can quickly enter the programming door and participate in project development to help change
careers. Freelance: Learn programming and develop side jobs
Others: Hobby programming Or interested in programming, improve the quality of science and technology
(a soulful python programming course)
Third: Download the complete course package
Complete course package download 
https://yv2c3kamh3y.feishu.cn/wiki/QGXZwGk8GiN6fjkcc38cS0O9nsg
Fourth: study suggestions
4.1. Laptop Configuration Suggestions
①If you are only learning Python, the minimum computer configuration memory is not less than 4GB, and there is no requirement for a graphics card; generally i5 processor, hard disk 256G or more. ②If you want to analyze big data or artificial intelligence modeling, it is recommended to configure 16G memory, and the independent graphics card should be at least 2G or more.
4.2 Study Suggestions
① It is recommended not to cram duck-style learning, not to study blindly, but to study systematically. This complete course is about 40 hours, and the course content is set scientifically, so you can systematically master Python by taking a fixed time every day (for example, 6 hours a day), 7 days a week.
②It is recommended to preview the courseware in advance, and be sure to type it after learning! Knock it! Knock it!
③It is recommended that after learning Python systematically, you can go to our knowledge base or github to find some python projects you are interested in to practice. Only by applying what you have learned can you grow faster!
④ It is recommended to maintain a positive attitude. The fruit after hard work is the sweetest. Programming is really not that difficult! come on!