Python 101 + Python re(gex)
Python 101 + Python re(gex)
About the Bundle
About the Books
Understanding Python re(gex)?
Example based guide to mastering Python regular expressions
Scripting and automation tasks often need to extract particular portions of text from input data or modify them from one format to another.
This book will help you learn Python Regular Expressions, a mini-programming language for all sorts of text processing needs.
The book heavily leans on examples to present features of regular expressions one by one. It is recommended that you manually type each example and experiment with them.
Both the standard
re module and the popular third-party
regex module are covered in this book.
Exercises are also included to test your understanding.
You should be familiar with programming basics. You should also have a working knowledge of Python syntax and features like string formats, string methods and list comprehensions.
You are also expected to get comfortable with reading manuals, searching online, visiting external links provided for further reading, tinkering with illustrated examples, asking for help when you are stuck and so on. In other words, be proactive and curious instead of just consuming the content passively.
If you have prior experience with a programming language but not Python, see my curated list of learning resources before starting this book.
I love your books on regex...As a student from the Digital VLSI space, it is indeed useful now and definitely in the future. It's really well written and really easy to understand the examples — feedback on reddit
Visit https://github.com/learnbyexample/py_regular_expressions for markdown source, example files, exercise solutions and other details related to the book.
Based on the book contents as well as the exercises, I made an interactive TUI app with 100+ questions covering both the builtin
re module and the third-party
regex module. These exercises will test your understanding of anchors, alternation, grouping, escaping metacharacters, dot metacharacter, quantifiers, character class, lookarounds, flags, etc.
Feedback and Errata
I would highly appreciate if you'd let me know how you felt about this ebook. It could be anything from a simple thank you, pointing out a typo, mistakes in code snippets, which aspects of the book worked for you (or didn't!) and so on. Reader feedback is essential and especially so for self-published authors. You can reach me via:
- Issue Manager: https://github.com/learnbyexample/py_regular_expressions/issues
- E-mail: email@example.com
- Twitter: https://twitter.com/learn_byexample
The second edition of Python 101 is completely rewritten from the ground up. In this book, you will learn the Python programming language and lots more.
This book is split up into four sections:
- The Python Language
- Intermediate Topics
- Creating Sample Applications
- Distributing Your Code
Following is how it will break down in more detail:
Part I - The Python Language
- 01 - Installation
- 02 - Python editors
- 03 - Python style guide / comment rules
- 04 - Integers and floats
- 05 - Lists
- 06 - Tuples
- 07 - Dictionaries
- 08 - Sets
- 09 - Strings
- 10 - Boolean
- 11 - Conditional statements
- 12 - Loops
- 13 - Comprehensions
- 14 - Exception Handling
- 15 - Files
- 16 - Imports
- 17 - Functions
- 18 - Classes
In Part 2 - Intermediate Topics, you will then learn about some intermediate topics, such as:
- Python virtual environments
- Version Control (git)
In Part 3 - Creating Sample Applications, you will learn how to write sample applications:
- How to create a command line application (argparse)
- How to parse XML
- How to parse JSON
- How to Scrape a website
- How to Work with CSV files
- How to work with a database (sqlite)
- How to Create an Excel document
- How to Generate a PDF
Finally in Part 4 you will learn how distribute your code as an executable and as source.
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