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Python Regular Expressions: Zero to Hero, Project-based!
Rating: 3.9 out of 5(31 ratings)
338 students

Python Regular Expressions: Zero to Hero, Project-based!

Learn to use Python REGEX for Text Analytics including Web and PDF File Scraping, Bioinformatics and Datamining 3.5 Hrs!
Created byScientific Programmer™ Team, Scientific Programming School
Last updated 3/2021
English

What you'll learn

  • How to use Python + REGEX to quickly search, match, replace, clean and optimise various aspect of a data set
  • How to use the Python regular expressions (re) module and relevant functions
  • How to deal with projects with real world data examples
  • How to perform pdf and web scraping + REGEX filtering

Coding Exercises

This course includes our updated coding exercises so you can practice your skills as you learn.

See a demo
Image of coding exercise example

Course content

7 sections • 37 lectures • 3h 33m total length

  • Introduction1:06

    In Python, the module re provides full support for Perl-like regular expressions in Python. We need to remember that here are many characters, which would have special meaning when they are used in
    regular expression. To avoid bugs while dealing with regular expressions, we use raw strings as r'expression'.

  • REGEX Basics7:04

    Lists the regular expression syntax that is available in Python. Note
    that any Regex can be concatenated to form new regular expressions; if X and Y are both regular expressions, then XY is also a regular expression.

  • REGEX Basics (Test yourself)
  • Python REGEX Course Documentation (PDF)0:01

Requirements

  • You should have some basic Python programming skills

Description

BRILLIANT LEARNERS| 3.5 HRS OF PYTHON REGEX VIDEOS | QUIZZES | FIVE STARS ⭐⭐⭐⭐⭐

Python + Regex? 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, we have used some real-world examples.  The course goals are to: 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!); and Challenge you with learning tasks and quizzes. You will learn:

Regex in Python

  • History of Regular Expressions

  • The re Module

  • How to Import re.search()

  • First Pattern-Matching Example

  • Python Regex Metacharacters

Metacharacters Supported by the re Module

  • Metacharacters

  • Escaping Metacharacters

  • Anchors

  • Quantifiers

  • Grouping Constructs and Backreferences

  • Lookahead and Lookbehind Assertions

  • Miscellaneous Metacharacters

Modified Regular Expression Matching With Flags

  • Supported Regular Expression Flags

  • Combining <flags> Arguments in a Function Call

  • Setting and Clearing Flags Within a Regular Expression

PYTHON NOTEBOOK & PDF COURSE COMPANIONS

We have included the python notebook used in this course. A PDF documentation of the whole course has been added to the first section.

LIVE CLASS SERIES!

Based on your earlier feedback, we are introducing a Zoom live class lecture series on this course through which we will explain different aspects of the Python and REGEX with Data Scraping. Live classes will be delivered through the Scientific Programming School, which is an interactive and advanced e-learning platform for learning scientific coding.

INTERACTIVE PLAYGROUNDS

This course comes with the first-ever online CUDA programming playgrounds. Students purchasing this course will receive free access to the interactive version of this course from the Scientific Programming School (SCIENTIFIC PROGRAMMING IO). Instruction are given in the bonus content section.

This 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 is a core  component of the 'Learn Scientific Programming' project.

Who this course is for:

  • Students who want to learn regular expressions to improve their career prospects
  • Researchers who want to add Python's REGEX tools to their bag of tricks
  • Journalists who want to polish their reporting by analyzing publicly-available datasets
  • Anyone wants to deal with Big Data

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