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Python Learning Plan

Phase 1: Python Basics (1-2 months)

Target: Master Python's basic syntax, data types, control structures, functions, modules and packages, etc.

1. Learn basic Python syntax: Includes variables, data types (integers, floating-point numbers, strings, lists, tuples, dictionaries, sets, etc.), conditional statements, and loop statements.
2. Functions and modules: Learn how to define and use functions, and how to import and use modules.
3. Object-Oriented Programming: Understand the basic concepts of object-oriented programming such as classes, objects, inheritance, encapsulation and polymorphism.

Recommended books：

• "Python Programming: From Beginners to Practice"：This book is very suitable for Python beginners and allows you to learn Python by building projects.
• Python Basics Tutorial (3rd Edition): It explains various aspects of Python in detail and is suitable as an introductory textbook.

Phase 2: Advanced Learning (1-2 months)

Target: In-depth study of Python's advanced features, such as file operations, exception handling, regular expressions, network programming, etc.

1. File Operations: Learn how to read and write files, and process text and binary data.
2. Exception handling: Understand the exception mechanism in Python and learn to write robust code.
3. Regular Expressions：Master the methods of using regular expressions to search, replace and verify strings.
4. network programming: Learn network programming using sockets, and the basics of HTTP clients and servers.

Recommended books：

• Advanced Python Programming: An in-depth introduction to Python's advanced features and best practices.
• Python Network Programming: Books focusing on network programming, suitable for readers with a certain foundation in Python.

Phase 3: Web Development (1-2 months)

Target: Learn web development with Python, including frameworks like Django or Flask.

1. Web Development Basics: Understand basic concepts such as HTTP protocol, Web server, request and response.
2. Django or Flask framework: Choose a framework to study in depth and master its core functions such as routing, templates, ORM, etc.
3. Database Operations: Learn how to use SQLAlchemy or Django ORM for database operations.
4. Separation of front-end and back-end: Understand RESTful API design and learn how to use Ajax for front-end and back-end data interaction.

Recommended books：

• 《Django Web Development in Action》: Introduce the use of Django through actual projects.
• 《Flask Web Development》: Books suitable for beginners to learn the Flask framework.

Phase 4: Data Science and Machine Learning (optional, duration based on interest)

Target: Learn to use Python for data analysis, data visualization, and machine learning.

1. NumPy vs Pandas: Learn these two powerful libraries for data analysis and processing.
2. Matplotlib vs Seaborn: Learn data visualization techniques.
3. Scikit-learn：Master the methods of training and evaluating machine learning models using Scikit-learn.

Recommended books：

• The Python Data Science Cookbook: A comprehensive introduction to data science using Python.
• Machine Learning in Action：Learn machine learning algorithms through project practice.

Study Tips

• Hands: In addition to theoretical learning, you need to write code for practice and deepen your understanding.
• Get involved in the community: Join the Python learning community to exchange ideas and solve problems with others.
• Read the official documentation: Python's official documentation is a valuable resource for learning, and should be consulted first when encountering problems.
• Insist on learning: Maintain enthusiasm and persistence in learning, and continue to accumulate knowledge and experience.

The above answer comes from Wenyan Yixin. I have sorted out all the books, seeds and various learning roadmaps by myself.