Start your journey into the regular expression world! From slicing and concatenating, adjusting the case, removing spaces, to finding and replacing strings. You will learn how to master basic operation for string manipulation using a movie review dataset. 

Introduction to string manipulation

First day!

Artificial reviews

Palindromes

String operations

Normalizing reviews

Time to join!

Split lines or split the line?

Finding and replacing

Finding a substring

Where's the word?

Replacing negations

Basic Concepts of String Manipulation

Following your journey, you will learn the main approaches that can be used to format or interpolate strings in python using a dataset containing information scraped from the web. You will explore the advantages and disadvantages of using positional formatting, embedding expressing inside string constants, and using the Template class.

Positional formatting

Put it in order!

Calling by its name

What day is today?

Formatted string literal

Literally formatting

Make this function

On time

Template method

Preparing a report

Identifying prices

Playing safe

Formatting Strings

Time to discover the fundamental concepts of regular expressions! In this key chapter, you will learn to understand the basic concepts of regular expression syntax. Using a real dataset with tweets meant for sentiment analysis, you will learn how to apply pattern matching using normal and special characters, and greedy and lazy quantifiers. 

Introduction to regular expressions

Are they bots?

Find the numbers

Match and split

Repetitions

Everything clean

Some time ago

Getting tokens

Regex metacharacters

Finding files

Give me your email

Invalid password

Greedy vs. non-greedy matching

Understanding the difference

Greedy matching

Lazy approach

Regular Expressions for Pattern Matching

In the last step of your journey, you will learn more complex methods of pattern matching using parentheses to group strings together or to match the same text as matched previously. Also, you will get an idea of how you can look around expressions.

Capturing groups

Try another name

Flying home

Alternation and non-capturing groups

Love it!

Ugh! Not for me!

Backreferences

Parsing PDF files

Close the tag, please!

Reeepeated characters

Lookaround

Surrounding words

Filtering phone numbers

Finishing line

Advanced Regular Expression Concepts

Movie Reviews

Wikipedia Web Page

Sentiment140

As a data scientist, you will encounter many situations where you will need to extract key information from huge corpora of text, clean messy data containing strings, or detect and match patterns to find useful words. All of these situations are part of text mining and are an important step before applying machine learning algorithms. This course will take you through understanding compelling concepts about string manipulation and regular expressions. You will learn how to split strings, join them back together, interpolate them, as well as detect, extract, replace, and match strings using regular expressions. On the journey to master these skills, you will work with datasets containing movie reviews or streamed tweets that can be used to determine opinion, as well as with raw text scraped from the web.

Intermediate Python

Learn about string manipulation and become a master at using regular expressions.

Regular Expressions in Python

Associate Python Developer

Python Programming Toolbox

Data Scientist

Looking for patterns

Special characters

OR operator

OR operand

Let's practice!

https://s3.amazonaws.com/assets.datacamp.com/production/course_17118/subtitles/course_17118_2142f2ad011fe2d8864121a35ff7fa26.vtt

Regular Expressions for Pattern Matching - Regex metacharacters

Regex metacharacters

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