Python正则表达式入门教程：掌握模式匹配与文本处理

学习如何用Python正则表达式高效提取、验证和转换文本数据。本课程从基础讲起，包含练习和挑战，适合具备基础Python知识的开发者。

原始标题：Regular Expression With Python

Published 5/2025
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.18 GB | Duration: 2h 28m

Master pattern matching to efficiently extract, validate, and transform text data for real-world Python applications

Requirements
Basic Python knowledge (variables, loops, functions)
A computer with Python installed (any version)
No prior regex experience required — we’ll start from the basics
Willingness to practice with hands-on exercises
Interest in text processing and pattern matching

Overview
Section 1: Introduction

Lecture 1 Introduction

Section 2: Regex 101

Lecture 3 Simple Pattern

Lecture 4 Exercise

Lecture 5 What is Meta Character and First meta character pipe

Lecture 6 Exercise questions

Lecture 7 dot

Lecture 9 Exercise questions

Lecture 10 Quantifiers (*, +, ?, {n,m})

Lecture 11 Special Sequence Characters (\w, \d, \s, \W, \D, \S)

Lecture 12 Regex Challenge – 1

Lecture 13 What is Regex Challenge – 1

Lecture 14 Regex Challenge -1: Answers Explanation

Lecture 15 Regex Challenge -1 : Answers

Lecture 16 Boundary Matcher in Regex

Lecture 17 Regex Challenge – 2

Lecture 18 Regex Challenge – 2 : Answers

Section 3: Regex with Python

Lecture 19 Introduction to re module

Lecture 20 re.match | match pattern beginning in the string

Lecture 21 re.match | Exercise examples

Lecture 22 re.search | match pattern anywhere in the string

Lecture 23 re.findall | match pattern anywhere in the string with multiple occurrences

Section 4: Bonus

Lecture 24 Bonus Lecture

Python developers looking to enhance their text processing skills,Data scientists who need to clean and extract information from unstructured data,Web developers working with form validation or scraping web content,Automation engineers building scripts for text analysis or transformation