Regex with Python? Many of you do not find this combination easy, which partly happens because of the Python's obfuscated regex documentation too! In this course, to make your life easy, I have used some real-world examples.  The goals are:

- Teach you how to use the Python regular expressions (re) module and relevant functions by running interactive examples;
- Educate you to deal with projects with real world data examples (e.g., pdf and web scraping, more coming soon!);
- Challenge you with coding exercises and quizzes; and
- Beginner friendly video lectures to explain the basic REGEX concepts.

This is a short course,  should be pretty quick and easy to complete. However, it assumes that you have basic Python skills (see the other Python courses on this platform). This course should get you going with Python Regex in less than 30mins. This course is a core component of the 'Learn Scientific Programming' project.

Python Regular Expressions with Data Scraping Projects

### Positive Lookbehind

`(?<=regex)` 	Matches at a position if the pattern inside the lookbehind can be matched ending at that position.

### Example

Consider the following string:

`begin:learner1:scientific:learner2:scientific:learner3:end`

Positive lookbehind assertion can help us to find all words `'scientific'`, `'scientific'` and `'end'` preeceded by the words `learner{1-3}`.

# Positive Lookbehind

`(?<=regex)` 	Matches at a position if the pattern inside the lookbehind can be matched ending at that position.

# Example

Consider the following string:

`begin:learner1:scientific:learner2:scientific:learner3:end`

Positive lookbehind assertion can help us to find all words `'scientific'`, `'scientific'` and `'end'` preeceded by the words `learner{1-3}`.

Introduction

Python Regular Expressions Funtions

Python Regex - Look ahead and Look behind

Python Lazy and Greedy Search

Python Regex by Examples

References

Python Lookbehind

Positive Lookbehind

Example