Regular Expressions in Python

Introduction to Regular Expressions

Let's break down regular expressions and their methods so we can turn a block of messy text into useful dictionaries. We'll use .match(), .search(), and .findall() to find matches for our patterns, and we'll build our patterns up from something very precise to something more flexible and powerful. Finally, we'll turn our text into real Python dictionaries.

• Reading Files

  7:00

• Basics

  4 questions

• The Basics

  5 objectives

• Escape Hatches

  5:23

• Escapes

  4 questions

• Escapes

  2 objectives

• Counts

  6:05

• Phone Numbers

  1 objective

• Word Length

  1 objective

• Sets

  5:42

• Email

  1 objective

• Negation

  8:20

• Negated Numbers

  1 objective

• Groups

  9:45

• Name Groups

  1 objective

• Email Groups

  2 objectives

• Compiling and Loops

  6:51

• Players Dictionary and Class

  2 objectives

• Review: Regular Expressions in Python

  8 questions

• Extra Credit

  Write a class to represent a person based on the information in the text file. They should have names, email addresses, phone numbers, jobs, and Twitter accounts. Remember, some of these can be blank, though!

  To go ever further, make a class to act as as address book to hold all of the people class instances created above. Can you make it searchable?