Disclosure: when you buy through links on our site, we may earn an affiliate commission.

Master Python Regular Expressions

Learn Python Regular Expressions from Scratch. Lots of examples - 4 Real World Case Studies - 1 Project
(86 reviews)
1,193 students
Created by


CourseMarks Score®







Platform: Udemy
Video: 2h 18m
Language: English
Next start: On Demand

Table of contents


Regular Expressions are strings  that define text matching patterns. This course explains all the concepts of  regular expressions in Python  through simple and multiple  examples so that it will be easy for you to understand. 
Each case study consists of  exercises . By solving these exercises, you will be able to write regular expressions for different kinds of text data. 
This course consists of three parts.
Part I 
1.Introduction to regular expressions
2.RE Module Basics
3.RE Module Functions
4. Groups
5. Special Characters
6. Matching Repititions
7. Greedy and Non-Greedy Matching
8. Character Classes
9. Back References
10. Look Ahead and Look Behind Assertions
Part II (Case Studies with Exercises) 
Part III(Projects)
1.Build a Simple Password Checker

You will learn

✓ Understand all concepts in regular expressions clearly
✓ Able to write regular expressions to match URLs
✓ Able to write regular expressions to match Dates
✓ Able to write regular expressions to match Numbers
✓ Build a simple password checker application


• PC or Laptop installed with Python 3.x
• Familiarity with Python 3.x language, at least the basics
• Any Python IDE

This course is for

• Beginner Python Programmers who want to learn regular expressions
• Data Scientists who want to master regular expressions
• Any python programmer who works with unstructured data
Passionate Researcher , Instructor and Learner
Hi, I’m a  passionate learner, researcher and instructor. 
I have  Master’s  Degree in  Computer Science  and currently doing research. I love learning things and apply them to my research work.
I invested lot of my time in learning many things related to computer science over the years  and I used all my experience in creating courses which are student friendly.
Browse all courses by on Coursemarks.
Platform: Udemy
Video: 2h 18m
Language: English
Next start: On Demand

Students are also interested in