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

In this project, we want to extract tabular information from a HTML file (see below). Our goal is to extract information available between <td> and </td> except the first numerical index (`1..6`).

Consider the `data.html` file below:

```
<html>
<head>
<style>
table, th, td {
    border: 1px solid black;
    border-collapse: collapse;
}
th, td {
    padding: 5px;
}
th {
    text-align: left;
}
</style>
</head>
<body>
<table style="width:100%">
<tr align="center"><td>1</td> <td>England</td> <td>English</td></tr>
<tr align="center"><td>2</td> <td>Japan</td> <td>Japanese</td></tr>
<tr align="center"><td>3</td> <td>China</td> <td>Chinese</td></tr>
<tr align="center"><td>4</td> <td>Middle-east</td> <td>Arabic</td></tr>
<tr align="center"><td>5</td> <td>India</td> <td>Hindi</td></tr>
<tr align="center"><td>6</td> <td>Thailand</td> <td>Thai</td></tr>
</table>
</body>
</html>
```

If we load the HTML file onto a browser it should look like below:

In this project, we want to extract tabular information from a HTML file (see below). Our goal is to extract information available between <td> and </td> except the first numerical index (`1..6`).

Consider the `data.html` file below:

```
<html>
<head>
<style>
table, th, td {
    border: 1px solid black;
    border-collapse: collapse;
}
th, td {
    padding: 5px;
}
th {
    text-align: left;
}
</style>
</head>
<body>
<table>
<tr align="center"><td>1</td> <td>England</td> <td>English</td></tr>
<tr align="center"><td>2</td> <td>Japan</td> <td>Japanese</td></tr>
<tr align="center"><td>3</td> <td>China</td> <td>Chinese</td></tr>
<tr align="center"><td>4</td> <td>Middle-east</td> <td>Arabic</td></tr>
<tr align="center"><td>5</td> <td>India</td> <td>Hindi</td></tr>
<tr align="center"><td>6</td> <td>Thailand</td> <td>Thai</td></tr>
</table>
</body>
</html>
```

If we load the HTML file onto a browser it should look like below:

In this project we use REGEX to find some values from a HTML file

Introduction

Python Regular Expressions Funtions

Python Regex - Look ahead and Look behind

Python Lazy and Greedy Search

Python Regex by Examples

References

Project 2: Parsing data from a HTML file with Python and REGEX