When learning Python, you can learn step by step according to the following outline:
Getting Started Basics
- Understand the history and application areas of Python
- Install Python interpreter and development environment (such as Anaconda, IDLE, etc.)
- Learn to write and execute simple code using Python's interactive interpreter or integrated development environment (IDE)
- Master basic Python syntax, including variables, data types, operators, conditional statements, and looping structures
Data Types and Data Structures
- Learn commonly used data types such as integers, floats, strings, lists, tuples, dictionaries, and sets
- Understand the characteristics and common operations of different data types
- Learn how to create and manipulate various data structures, and master their related methods and functions
Functions and Modules
- Learn the definition and call of functions, understand the concept of parameter passing and return value
- Master commonly used built-in functions and functions in the standard library, such as input and output, mathematical calculations, string processing, etc.
- Understand the concept of modules, learn to import and use the functions provided by modules
File operations and exception handling
- Learn the basics of reading and writing files
- Understand the concepts of file pointers and file open modes
- Learn to deal with abnormal situations that may occur when reading and writing files, and learn related exception handling mechanisms
Object-Oriented Programming
- Understand the basic concepts and principles of object-oriented programming
- Learn how to define classes and create objects, master the use of class attributes and methods
- Understand object-oriented features such as inheritance, encapsulation, and polymorphism
Asynchronous programming and concurrency
- Understand the concepts and benefits of asynchronous programming
- Learn asynchronous programming using coroutines and async libraries like asyncio
- Master the basic methods and related modules of multi-thread and multi-process programming (such as threading and multiprocessing)
Web Development and Data Processing
- Learn to develop web applications using frameworks such as Django or Flask
- Master common database operations, such as connecting to the database, querying and updating data, etc.
- Understand the basic methods and related libraries (such as NumPy and Pandas) of data processing and analysis
Extension and practice
- In-depth study of Python's advanced features and extended libraries in related fields, such as scientific computing, artificial intelligence, and graphical interfaces
- Participate in the development and practice of actual projects, and apply the knowledge learned to actual scenarios
The above outline is a relatively comprehensive learning route, you can learn and expand according to your own progress and needs. During the learning process, it is recommended to combine practice and projects to consolidate the knowledge learned, and refer to relevant documents, tutorials and exercises for practical operations and exercises.
