Do you still waste your time PASSIVELY reading Python books?
Puzzle-based learning is an ACTIVE learning technique. With code puzzles, you will learn faster, smarter, and better.
The Coffee Break Python book series teaches you Python in byte-sized code puzzles. You solve a code puzzle a day while you enjoy your morning coffee. It’s that simple.
What do others have to say?
21,000 online Python students have already improved their coding skills with our unique puzzle-based learning technique:
"I very much enjoy your Finxter.com website because it has some real meat to the problems. Thank you so much for doing this project! I love it!"
"Your site is awesome."
"I found Finxter.com an excellent tool to brush up on my Python skills. I totally love the setup of playing against the questions - such a wonderful idea <3 ... and great questions."
Why should you read this book?
Coffee Break Python Slicing is all about growing your Python expertise—one coffee at a time. The focus lies on the important slicing technique to access consecutive data ranges. Understanding slicing thoroughly is crucial for your success as a Python developer.
This book teaches you everything you need to know about slicing in Python.
As a bonus, you will track your individual Python coding skill level throughout the book.
Who should read this book?
You are slightly beyond beginner-level in Python. For example,
So how do you spend your Coffee Break? Python!
Christian is working as a doctoral computer science researcher in the area of distributed systems in Stuttgart, Germany. He has published several research papers on international conferences and has taught many students in computer science, graph theory, and distributed systems. Christian's mission is to serve aspiring coders through Finxter.com and Coffee Break Python—and to help them kickstart their computer science skills.
This eBook contains 2 file formats such that you can read it on the device of your choice.
- High-resolution PDF optimized for reading on desktop screens
- High-resolution PDF optimized for reading on mobile screens