Book Image

The Python Workshop

By : Olivier Pons, Andrew Bird, Dr. Lau Cher Han, Mario Corchero Jiménez, Graham Lee, Corey Wade
Book Image

The Python Workshop

By: Olivier Pons, Andrew Bird, Dr. Lau Cher Han, Mario Corchero Jiménez, Graham Lee, Corey Wade

Overview of this book

Have you always wanted to learn Python, but never quite known how to start? More applications than we realize are being developed using Python because it is easy to learn, read, and write. You can now start learning the language quickly and effectively with the help of this interactive tutorial. The Python Workshop starts by showing you how to correctly apply Python syntax to write simple programs, and how to use appropriate Python structures to store and retrieve data. You'll see how to handle files, deal with errors, and use classes and methods to write concise, reusable, and efficient code. As you advance, you'll understand how to use the standard library, debug code to troubleshoot problems, and write unit tests to validate application behavior. You'll gain insights into using the pandas and NumPy libraries for analyzing data, and the graphical libraries of Matplotlib and Seaborn to create impactful data visualizations. By focusing on entry-level data science, you'll build your practical Python skills in a way that mirrors real-world development. Finally, you'll discover the key steps in building and using simple machine learning algorithms. By the end of this Python book, you'll have the knowledge, skills and confidence to creatively tackle your own ambitious projects with Python.
Table of Contents (13 chapters)

Regular Expressions

Regular expressions (or regexes) are a domain-specific programming language, defining a grammar for expressing efficient and flexible string comparisons. Introduced in 1951 by Stephen Cole Kleene, regular expressions have become a popular tool for searching and manipulating text. As an example, if you're writing a text editor and you want to highlight all web links in a document and make them clickable, you might search for strings that start with HTTP or HTTPS, then those that contain ://, and then those that contain some collection of printable characters, until you stop finding printable characters (such as a space, newline, or the end of the text), and highlight everything up to the end. With standard Python syntax, this will be possible, but you will end up with a very complex loop that will be difficult to get right. Using regexes, you match against https?://\S+.

This section will not teach you the full regular expression syntax — there are...