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

- **Python REGEX**

    - [Python Regular expression operations](https://docs.python.org/2/library/re.html) - Official doco.
 
    - [Regular Expression HOWTO](https://docs.python.org/2/howto/regex.html) by A.M. Kuchling
    
- **Educative courses**    

    - [Python 3: An interactive deep dive](https://www.educative.io/collection/10370001/5705097937944576?authorName=Educative) by Mark Pilgrim, implemented by the Educaitve Team
    - [Python 101: Interactively learn how to program with Python 3](https://www.educative.io/collection/5663684521099264/5707702298738688?authorName=Michael%20Driscoll) by Michael Driscoll
    - [Python 201 - Interactively Learn Advanced Concepts in Python 3](https://www.educative.io/collection/5663684521099264/5693417237512192?authorName=Michael%20Driscoll) by Michael Driscoll
 
- **Online Python Courses**

    -   edx’s [Introduction to Computer Science and Programming Using
        Python](https://www.edx.org/course/introduction-computer-science-mitx-6-00-1x-0#.VJw5pv-kAA) . The companion book can be [found
        here](http://mitpress.mit.edu/books/introduction-computation-and-programming-using-python-0).

        -   MIT Open Courseware also offers a gentler “lead-in” course designed for those with no programming background that you can take beforetaking the above: [Building Programming Experience: A Lead-In to 6.001](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-090-building-programming-experience-a-lead-in-to-6-001-january-iap-2005/).

    -   MIT Open Courseware’s [A Gentle Introduction to Programming sing       Python](http://ocw.mit.edu/courses/electrical-engineering-and-computer-science/6-189-a-gentle-introduction-to-programming-using-python-january-iap-2011/)

    -   Coursera’s [Programming for Everybody (Python)](https://www.coursera.org/course/pythonlearn) For beginners.

    -   Codecademy’s beginners; tends to focus primarily on syntax [Python track](http://www.codecademy.com/tracks/python).

    -   Udacity’s [Programming Foundations with Python](https://www.udacity.com/course/ud036). Focuses on object-oriented programming.

    -   Team Treehouse’s [Python course](http://teamtreehouse.com/features/python).

	- Udemy's [Python Regular Expressions with Data Scraping Projects](https://www.udemy.com/python-regular-expressions-with-data-scraping-projects/), this book - video version!


-   **Interactive resources:**

    -   [LearnPython](http://learnpython.org) An interactive online guide that teaches basic Python.

    -   [Try Python](http://www.trypython.org/) Another interactive online
        guide.
        
	- Educative's [Python Regular Expressions with Data Scraping Projects](https://www.educative.io/collection/5183519089229824/5682462386552832), this course!

-   **Books and tutorials (online):**

    -   [Learn Python the Hard Way](http://learnpythonthehardway.org/book/) Part  of the “Learn X the Hard Way” series. Despite its name, this is one of the easiest introductions to Python available.

    -   [Automate the Boring Stuff with Python](http://automatetheboringstuff.com/) .From the [Invent with
        Python](http://inventwithpython.com/) author.

    -   How to Think Like a Computer Scientist ([Python 2 version](http://www.openbookproject.net/thinkcs/python/english2e/) and [Python 3 version](http://www.openbookproject.net/thinkcs/python/english3e/)) 


   -  [Think Python](http://www.greenteapress.com/thinkpython/)Comprehensive introductory text on Python.

    -   The official Python tutorial (for [Python 2](https://docs.python.org/2/tutorial/) and [Python 3](https://docs.python.org/3/tutorial/)). Moves a little quickly, but is very comprehensive and thorough.

    -   [Problem Solving with Algorithms and Data Structures](http://interactivepython.org/runestone/static/pythonds/index.html)

    -   [Dive into Python 3](http://www.diveintopython3.net/) An accelerated introduction to Python. 

    -   [Program Arcade Games With Python And Pygame](http://ProgramArcadeGames.com) 

    -   [The Hitchhiker’s Guide to Python](https://python-guide.readthedocs.org/en/latest/) 
    
    -   [pycrumbs](http://resrc.io/list/4/pycrumbs/) A huge list of many useful articles, tutorials, and snippits on Python, ranging from basic to        advanced.

    -   [PyMOTW](http://pymotw.com/) A tour of the Python standard library
        through short examples.
    -   [Import Python](http://importpython.com/books/) A catalog of Python books (some are free)

-   **Exercises:**

    -   [Pyschools](http://www.pyschools.com/) Exercises and challenges in      Python. 




Introduction

Python Regular Expressions Funtions

Python Regex - Look ahead and Look behind

Python Lazy and Greedy Search

Python Regex by Examples

References

Python materials