Super practical! This is the most comprehensive python introductory tutorial I have ever seen, don't miss it for beginners

Python is an open source, free, and general-purpose scripting programming language. It is easy to use, powerful, and adheres to "minimalism".

The Python class library (module) is extremely rich, which makes Python almost omnipotent. Whether it is traditional Web development, PC software development, Linux operation and maintenance, or the current hot machine learning, big data analysis, and web crawlers, Python can be competent .

This set of basic Python tutorials is not a textbook, and will not play with concepts, but strives to be colloquial and popular, so that readers can get started as soon as possible.

If you have a friend who is interested in learning Python, please read the first half of this tutorial, which is the foundation and can reduce the cost of learning; if you want to fully master Python programming and be competent for actual project development in the enterprise, then you should follow the steps of this tutorial All chapters.

[ The method of receiving is at the end of the article! !

[ The method of receiving is at the end of the article! !

Catalog display

  • Chapter 1 Quick Start with Python
  • Chapter 2 Grammar and Code Conventions
  • Chapter 3 Types and Objects
  • Chapter 4 Operators and Expressions
  • Chapter 5 Control Flow
  • Chapter 6 Functions and Functional Programming
  • Chapter 7 Classes and Object-Oriented Programming
  • Chapter 8 Modules and Packages
  • Chapter 9 Input and Output
  • Chapter 10 Execution Environment

Chapter 1 Quick Start with Python

  • 1. Run Python
  • 2. Variables and expressions
  • 3. Conditional statements
  • 4. File input/output
  • 5. string
  • 6. Lists & Tuples
  • 7. Loop
  • 8. Dictionary
  • 9. Function
  • 10. class
  • 11. Abnormal
  • 12. Module

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Chapter 2 Grammar and Code Conventions

  • 1. Line structure/indentation
  • 2. Identifiers and reserved words
  • 3. number/text
  • 4. Operators, separators and special symbols
  • 5. Docstrings

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Chapter 3 Types and Objects

  • 1. the term
  • 2. Object identification and type
  • 3. Reference Counting and Garbage Collection
  • 4. Citation and Copy
  • 5. Built-in types
  • 6. Special methods
  • 7. Performance and memory usage

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Chapter 4 Operators and Expressions

  • 1. Numerical operations
  • 2. Sequence operation
  • 3. Dictionary operations
  • 4. Incremental assignment statement
  • 5. The attribute (.) operator
  • 6. type conversion
  • \7. Unicode string
  • 8. Boolean expressions
  • 9. Object comparison and identity
  • 10. Operation priority

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Chapter 5 Control Flow

  • 1. Conditional statements
  • 2. cycle
  • 3. Abnormal
  • 4. define new exception
  • 5. Assertions and _debug

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Chapter 6 Functions and Functional Programming

  • 1. Function
  • 2. Parameter passing and return value
  • 3. scope rules
  • 4. recursion
  • \5. apply() function
  • \6. lambda operator
  • \7. map0. zip(), reduce(), and filter()
  • 8. List connotations
  • 9.eval(), exec, execfile()和compile()

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Chapter 7 Classes and Object-Oriented Programming

  • 1. class statement
  • 2. Access class properties
  • 3. Class instance
  • 4. Reference counting and instance destruction
  • 5. Inheritance
  • 6. Polymorphism
  • 7. Data hiding
  • 8. Operator overloading
  • 9. Class, type, and member detection

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Chapter 8 Modules and Packages

  • 1. Module
  • 2. Module search path
  • 3. Module import and assembly
  • 4. Reimport the module
  • 5. Package

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Chapter 9 Input and Output

  • \1. Read parameters and environment variables
  • \2.file
  • \3. Standard input, standard output and standard error
  • \4. print statement
  • \5. Object persistence
  • \6. Unicode I/O

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Chapter 10 Execution Environment

  • \1. Interpreter options and operating environment
  • \2. Interactive mode
  • \3. Run the Python program
  • \4. Site configuration file
  • \5. Enable the Future feature
  • \6. Program terminated

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Due to the limitations of the article, I cannot show them here one by one. Friends who need the full version can get it and see the picture below.

The above-mentioned full version of the full set of Python learning materials has been uploaded to the official CSDN. If you need it, you can scan the QR code of the CSDN official certification below on WeChat to get it↓↓↓

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Origin blog.csdn.net/libaiup/article/details/131399991