python learning framework

1. Python introduction and installation
   • The history and characteristics of Python
   • Python installation and configuration
2. Python basic syntax
   • Variables and data types
   • Operators and expressions
   • Control structure (conditional judgment and loop)
   • Functions and modules
   • Error handling and exceptions
3. Python data structures
   • List
   • Tuple
   • Set
   • Dictionary
4. Python object-oriented programming
   • Classes and Objects
   • Inheritance and polymorphism
   • encapsulation
   • special methods of class
5. Python file operations and input and output
   • File operations (read, write, append, etc.)
   • Input and output formatting
6. Python standard library
   • os: operating system interface
   • re: regular expression
   • datetime: Date and time processing
   • collections: Container data type
   • json: JSON data processing
   • Other commonly used modules
7. Python network programming
   • socket
   • HTTP protocol and related libraries (such as requests,  urllibetc.)
   • Crawler basics
8. Python database operations
   • SQL Basics
   • Python database interface (such as sqlite3,  MySQLdbetc.)
   • ORM (eg SQLAlchemy)
9. PythonWeb development
   • Web Development Overview
   • Flask framework
   • Django framework
10. Python Data Science and Machine Learning
    • NumPy: array and matrix operations
    • pandas: data analysis and processing
    • matplotlib: data visualization
    • scikit-learn : Machine learning library
    • TensorFlow/PyTorch: Deep Learning Framework
11. Python project practice and deployment
    • Project structure and planning
    • Code version management (such as Git)
    • Unit testing and continuous integration
    • Virtual environment and package management
    • Project deployment (such as servers, cloud services, etc.)