Follow 👆 the official account and reply with "python" to receive the beginner tutorial! Source from the internet, will remove if infringed.Python is an open-source, free, general-purpose scripting programming language that is easy to learn and powerful, adhering to the principle of “minimalism”.
Python has an extremely rich library (module), making it almost omnipotent; whether it’s traditional Web development, PC software development, Linux operations, or the currently popular machine learning, big data analysis, and web scraping, Python can handle it all.
Many beginners find Python difficult to understand, with a plethora of resources but unsure where to start. Here, I recommend a set of 400 Python lessons taught by a professor from Tsinghua University. It is not a textbook, nor does it play with concepts, but strives for a conversational and accessible approach to help readers quickly get started.
[The way to receive it is at the end of the article!!]
[The way to receive it is at the end of the article!!]
Preface
This article lists detailed tutorials from zero to proficiency in Python, with content presented in the form of a knowledge directory. 01. Introduction to the origin and development of Python 02. Project development process
[Surprise benefits at the end of the article 🎁]
Chapter One: Markdown Editor
01. Basic syntax of Markdown
02. Introduction and installation of Typora
03. Setting up image hosting with gitee + Typora on Windows
04. Setting up image hosting with gitee + Typora on macOS
Chapter Two: Core Computer Fundamentals
01. Principles of computer composition
Chapter Three: Programming Languages
01. Introduction to programming languages
02. Python is an interpreted, strongly typed, dynamic language
Chapter Four: Python Interpreter and Integrated Environment
01. The two meanings of Python
02. Installing the Python interpreter on Windows
03. Installing the Python interpreter on Linux
04. Introduction to pip package management tool and basic usage
05. Introduction to IDE integrated development environment
06. Installing IDE tools
07. Basic usage of the IDE integrated development environment
Chapter Five: Python Basics
01. Python syntax: variables and constants
02. Python syntax: comments
03. Python garbage collection mechanism GC
04. Introduction to basic data types in Python syntax
05. User interaction and formatted output
06. Basic operators in Python
07. Flow control in Python syntax: if statements
08. Flow control in Python: while loops
09. Flow control in Python: for loops
10. Mutable and immutable types in Python data types
11. Deep and shallow copy in Python
12. Python small data pool, in-depth analysis of code blocks
13. Extension: Four ways to format strings in Python
Chapter Six: Built-in Methods for Data Types
01. Built-in methods for numeric types in Python
02. Built-in methods for string types in Python
03. Built-in methods for list types in Python
04. Built-in methods for tuple types in Python
05. Built-in methods for dictionary types in Python
06. Built-in methods for set types in Python
Chapter Seven: File Handling and Character Encoding
01. Character encoding for file handling in Python
02. File handling in Python
Chapter Eight: Functions
01. Basic usage of functions in Python
02. Function type hinting in Python
03. Parameters of functions in Python
04. Function objects and nested functions in Python
05. Namespace and scope in Python
06. Closure functions in Python
07. Decorators in Python
08. Iterators in Python
09. Generators in Python
10. Ternary expressions, comprehensions, and generator expressions in Python
11. Procedural programming ideas and anonymous functions and their applications in Python
12. Built-in functions in Python
13. Function recursion and calls in Python
14. Binary method in Python
Chapter Nine: Modules
01. Python modules
02. Directory specifications for software development
03. Python packages
04. Basic usage of the logging module in Python
05. Detailed explanation of the logging module in Python
06. JSON module in Python
07. Pickle module in Python
08. Time and datetime modules in Python
09. Random module in Python
10. OS module in Python
11. Sys module in Python
12. Shutil module in Python
13. Shelve module in Python
14. Typing module in Python
15. Compression with zipfile and decompression with tarfile modules
16. Simple use of the pyecharts module in Python
17. Hashlib and hmac modules in Python
18. Automation in operations with psutil module in Python
19. XML module (overview)
20. Subprocess module (overview)
21. Configparser module (overview)
22. Struct module in Python
23. Regular expressions and re module in Python
24. UUID module in Python
Practice: ATM + shopping cart project development
Chapter Ten: Object-Oriented Programming
01. The origin of object-oriented programming
02. Object-oriented programming in Python
03. Encapsulation in classes
04. Inheritance in classes in Python
05. The diamond problem in multiple inheritance in classes
06. Derivation of classes in Python
07. Composition of classes in Python
08. Polymorphism and duck typing in classes
09. Bound methods and unbound methods in Python
10. Reflection in Python
11. Collection of magic methods (built-in methods) in Python
12. Metaclasses in Python
13. Singleton pattern in Python
Chapter Eleven: Exception Handling
01. Exception handling in Python
Chapter Twelve: Network Programming
01. Network architecture and its evolution
02. Overview of computer networks
03. OSI seven-layer protocol of computer networks
04. Six main steps of the DHCP working process in computer networks
05. Detailed explanation of the three-way handshake and four-way handshake of the TCP protocol
06. SYN flood attack in computer networks
07. Brief introduction to VLAN
08. Subnetting
09. Socket programming based on the TCP protocol
10. CS architecture software simulating SSH remote command execution based on the TCP protocol
11. Implementation of socket communication based on the UDP protocol
12. Sticky packet phenomenon and solutions to sticky packet problems
13. Concurrency socket programming based on socketserver
14. Practical network programming: FTP file resume transmission
Chapter Thirteen: Introduction to MySQL
01. Basics of databases
02. Installing MySQL on Mac
03. Installing MySQL on Linux
04. Installing MySQL on Ubuntu
05. Installing MySQL on Windows
06. Introduction to MySQL
07. Overview of MySQL storage engines (table types)
08. Related operations on MySQL databases
09. Related operations on MySQL tables
10. Integrity constraints on MySQL tables
11. Data types supported by MySQL tables
12. Related operations on MySQL records
13. Single table queries in MySQL
14. Multiple table queries in MySQL
15. Comprehensive practice answers for multiple table queries in MySQL
16. Principles of MySQL indexing
17. Data structure of MySQL indexing – Introduction to B+ trees
18. MySQL performance analysis with Explain
19. Using Python to operate MySQL databases
20. Summary of MySQL databases
Learning Resources
How to Obtain:
-
Like + Rewatch
-
Reply “python” in the official account
Get the latest 2024 Python zero-based learning materials,Reply in the background:Python