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Recommended Python Learning Directions:
If you have an undergraduate degree or lower, it is recommended to learn the following two directions:
1. Web Scraping. Simple scraping libraries, proxy scraping, distributed scraping, etc.
2. Web Development. Learn mainstream web frameworks, lightweight Flask, and heavyweight Django, etc.
3. Automated Testing.
If you have an undergraduate degree or higher, it is recommended to learn:
1. Machine Learning.
2. Artificial Intelligence.
3. Data Analysis.
4. Deep Learning.
Recommended Python Learning Methods:
1. Set learning goals and customize learning paths based on your direction.
2. Divide the knowledge modules and set learning time and goals.
3. Persist! Persist! Persist!
New benefits are here, 1885 pages of comprehensive materials covering all aspects of Python applications, basic knowledge, Linux basics, advanced Python knowledge, Linux system programming, web servers, network programming, regular expressions, data structures and algorithms, MySQL, MongoDB, Redis, front-end, Django, web scraping, Tornado, shell, etc… The content is very comprehensive and contains numerous knowledge points. With this book, you won’t worry about Python!
Do not be greedy; first choose your learning direction and combine learning with practical cases.
Content Introduction:
1: Python Basics (337 pages)



2: Linux Basics (117 pages)


3: Advanced Python (152 pages)


4: Linux System Programming (75 pages)


5: Web Servers (37 pages)


6: Network Programming (167 pages)


7: Regular Expressions Explained (37 pages)


8: Data Structures and Algorithms (77 pages)


9: MySQL (72 pages)


10: MongoDB (62 pages)


11: Redis (24 pages)


12: Front-End (247 pages)

13: Django (146 pages)


14: Web Scraping (346 pages)


15: Tornado (109 pages)


16: Shell (63 pages)


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