I just published my ebook titled "100 Page Python Intro". This book is a short, introductory guide for the Python programming language. This book is well suited:
- As a reference material for Python beginner workshops
- If you have prior experience with another programming language
- If you want a complement resource after reading a Python basics book, watching a video course, etc
You can get PDF/EPUB versions from Gumroad or Leanpub using the links given below:
Cover art: Ilsa Olson
You can also read the book online here: https://learnbyexample.github.io/100_page_python_intro/introduction.html.
The https://github.com/learnbyexample/100_page_python_intro repo has programs, example files, markdown source and other details about the book.
Table of Contents🔗
- Numeric data types
- Strings and user input
- Defining functions
- Control structures
- Importing and creating modules
- Installing modules and Virtual environments
- Exception handling
- Tuple and Sequence operations
- Text processing
- Comprehensions and Generator expressions
- Dealing with files
- Executing external commands
- Command line arguments
Motivation and FAQ🔗
I've been conducting a few Python introduction workshops for college students and faculty for the past four years (which came to a premature end thanks to the pandemic). These students were already familiar with another programming languages such as
Java, etc. I used to provide my notes in PDF format as a workshop reference material, further reading resources, etc. After I started writing a book titled Practice Python Projects, I realized I'd be better served by improving my Python knowledge first. What better way to do it than writing a book? And it did teach me a lot of things, some of the highlights being:
- Exploring docs.python: Glossary
- You cannot have mutable objects as a
endswith()string methods support
tupleargument for testing multiple substrings
- Command line options like
Why is it called 100 Page Python Intro when it has more than 100 pages?
There are 2 hard problems in computer science: cache invalidation, naming things, and off-by-1 errors — Leon Bambrick
The material I was using for my workshops was 56 pages. I had more chapters to add, but I thought it would be a struggle to reach 100 pages, instead of overshooting the goal in the end. The measurement also depends on a few factors. The main content will be less than 100 pages if I reduce the font size from 12 to 11, exclude cover, TOC, Preface, etc.
Hope you find it useful and fun to learn Python. I would highly appreciate if you'd let me know how you felt about this book. It could be anything from a simple thank you, Gumroad rating, 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/100_page_python_intro/issues
learn by firstname.lastname@example.org(without the spaces)
- Twitter: https://twitter.com/learn_byexample
Happy learning :)