Over the past few years I've written and published 8 books independently.
These books condense the knowledge of Python, Computer Science, and sometimes maths, that I spent thousands of hours learning for myself.
You can find out more about the books below.
Pydon'ts
Write elegant Python code
This book guides you through the core Python language, showing you how to use the language features to write better, more elegant Python code.
Each chapter of the book guides you through a specific feature of the Python language, explaining the theory and showing concrete examples of that feature in the real world.
This book is for best suited for people who already have some Python experience or for experienced programmers in other languages who want a crash course on the “Pythonic way” of doing things.
The little book of itertools
Mastering itertools and iteration in Python
Unlock the power of advanced iteration with this concise, actionable guide to Python's itertools module.
Perfect for curious programmers who love diving deep into the intricacies of the standard library, this book offers a hands-on approach to mastering one of Python's most versatile libraries in a short, fluff-free format.
The little book of pandas & matplotlib
A practical guide on getting started
Get started with data science in Python quickly with the little book of pandas & matplotlib.
The short chapters introduce you to the key concepts that you need to
- manipulate and transform your data;
- query it to get answers to the questions you have; and
- create plots that convey your findings in a clear way.
This book is perfect for you if you want to get an overview of the multiple tools, ideas, and concepts, that pandas and matplotlib have to offer and that you can learn and master.
Comprehending Comprehensions
I devoted an entire book with over 200 exercises to list comprehensions, dictionary and set comprehensions, and generator expressions. This book provides clear explanations for how comprehensions work and, most importantly, a unique point of view that helps you understand and memorise the syntax.
My unique point of view stems from my experience with the APL programming language, which helped me understand comprehensions in a completely new light. For a taste of my point of view, you can read this blog article of mine.
The book is missing the last two chapters, so you can buy it for 40% off while I finish it!
The little book of pygame
Create your own computer minigames
Ready to dive into game development with Python? This short, hands-on book walks you through building four different minigames using Pygame, even if you’ve never written a rock paper scissors game before.
With clear explanations and all the source code included, you’ll learn all the fundamentals required to build a game. Whether you’re a hobbyist looking to explore something new or a developer wanting to build fun side projects, this book is designed to get you started quickly and confidently.
No fluff – just practical steps to making your own games from scratch.
Python Problem-Solving
This book contains 50 coding challenges and an analysis of multiple solutions to those challenges. It's part of the Python problem-solving bootcamp, that I run periodically.
The “first edition” of this book was published in December 2021, when I ran the bootcamp for the first time. Whenever I run a new edition of the bootcamp, I end up perfecting and improving the book.
Neural Networks Fundamentals with Python
Ever wondered what a neural network really is, how it works, or how to implement one? Well, I did, and that is why I tried implementing one. And I failed. Some years later, I tried again, and it worked! And it was amazing! Now, I just want to help you do it yourself, so that you can take a peek behind the curtains of this world of machine learning, deep learning, and all those buzzwords.
In this short book, I will take you through the journey of implementing a neural network from scratch, and then we will use these networks you created to perform machine learning tasks. We will also play around with them and do all sorts of really interesting machine learning and deep learning experiments.
The book explains you the things that are needed, step-by-step, and gives you a reference implementation that you can find on GitHub.
By the time you are done with the book, you will have at your disposal a simple neural network framework that actually works, and that you have already used to explore interesting concepts from the worlds of machine learning and deep learning.
By the way, if you are unsure whether or not this book is for you, you can always read its chapters for free on my blog.
Puzzles, Riddles, & Problems
This book compiles the puzzles, riddles, and problems I've published on my blog.
I try to publish problems that are easy to state and easy to understand and I also try to stick to problems that only require logic and, at most, knowledge of mathematics at the high school level.
From ants stuck in a pipe to a pirate ship filled with democratic pirates, there's a bit of everything in this book.
