Python 101 + Python re(gex)
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Python 101 + Python re(gex)

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About the Books

Python re(gex)?

a magical tool for text processing
  • 14,262

    Readers

  • 113

    Pages

  • PDF

  • EPUB

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

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.

You should have prior experience working with Python, should know concepts like string formats, string methods, list comprehension and so on.

Both standard re module and popular third party regex module is covered in this book.

Exercises are also included to test your understanding.

Visit https://github.com/learnbyexample/py_regular_expressions for code snippets and exercise files. The repo also has solutions for exercises.

Python 101

2nd Edition
  • 1,052

    Readers

  • 548

    Pages

  • 110,062

    Words

  • 100%

    Complete

  • PDF

  • EPUB

  • MOBI

  • WEB

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:

  1. The Python Language
  2. Intermediate Topics
  3. Creating Sample Applications
  4. 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:

  • Introspection
  • Pip
  • Python virtual environments
  • Threading
  • Multiprocessing
  • Debugging
  • Decorators
  • Profiling
  • Testing
  • 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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