Gain insights into Python's regular expressions with practical examples, web scraping projects, coding exercises, and beginner-friendly lectures. Delve into real-world data and enhance your Python skills effectively.

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 compile

The `compile` function compiles a regular expression pattern into a regular expression `object`, which can be used for matching using its `match()`, `search()`, etc. methods.  

### Syntax

````
 re.compile(pattern, flags=0)
````

The expression’s behaviour can be modified by specifying a flags value (discussed earlier). Values can be any of the following variables, combined using bitwise OR (the `|` operator).

For example:

```
m = re.match(pattern, string)
```

is equivalent to:

```
p = re.compile(pattern)
m = p.match(string)
```

Note that the programs that use only **a few regular expressions at a time** don't need to compile regular expressions (recent patterns are cached automatically due to `re._MAXCACHE` setting).

# Python regex compile

The `compile` function compiles a regular expression pattern into a regular expression `object`, which can be used for matching using its `match()`, `search()`, etc. methods.  

# Syntax

````
 re.compile(pattern, flags=0)
````

The expression’s behaviour can be modified by specifying a flags value (discussed earlier). Values can be any of the following variables, combined using bitwise OR (the `|` operator).

For example:

```
m = re.match(pattern, string)
```

is equivalent to:

```
p = re.compile(pattern)
m = p.match(string)
```

Note that the programs that use only **a few regular expressions at a time** don't need to compile regular expressions (recent patterns are cached automatically due to `re._MAXCACHE` setting).

Python regex compile() function explained with examples. Includes learning tasks.

Introduction

Python Regular Expressions Funtions

Python Regex - Look ahead and Look behind

Python Lazy and Greedy Search

Python Regex by Examples

References

Python regex `compile` function

Python regex compile

Syntax