When choosing books for learning Python, one important thing to remember is to select classic textbooks. Avoid a pile of poor-quality materials; for instance, books that promise to teach you in 21 days are not worth your time. Programming cannot be mastered quickly; without long-term practice, it is impossible to acquire this skill.
There are many classic books on Python, ranging from beginner to data analysis and machine learning. In short, there is a lot to learn.
Beginner Level
For beginner-level books, consider “Python Programming: From Beginner to Practice” and “Python Programming Quick Start”. Additionally, Liao Xuefeng’s Python textbook is also a good choice. You can choose any of these three; just remember to practice and write code while studying. Programming is all about practice, and the more code you write, the more intuitive it becomes.
Intermediate Level
Once you have mastered the basics, you can move on to slightly more challenging books. I recommend reading “Effective Python” and “Fluent Python”, as these will help you write efficient code.
Web Development
For web development, focus on learning the three frameworks: Django, Flask, and FastAPI. You can refer to the official documentation directly. Additionally, consider reading “Flask Web Development”.
Data Analysis
For data analysis, read “Python for Data Analysis”, which is a classic textbook written by Wes McKinney, the author of the Pandas library. The book revolves around the Python language and its data analysis ecosystem, systematically introducing core tools such as NumPy, Pandas, and Matplotlib, making it suitable for readers from beginners to intermediate data analysts.
Cybersecurity
To learn about cybersecurity, read “Gray Hat Python” and “Black Hat Python”, both written by Justin Seitz, a well-known cybersecurity expert and programmer, particularly skilled in using Python for security research and reverse engineering. He has accumulated rich practical experience while working at the security company Immunity Inc.