Email the Author
You can use this page to email Christian Mayer, Lukas Rieger and Zohaib Riaz about Coffee Break NumPy.
About the Book
Do you want to learn data science 44% faster?
The new textbook Coffee Break NumPy leverages the scientifically proven way of puzzle-based learning to code!
"Students who were quizzed after studying a short text could recall significantly more information than students who were asked to reread it" (Karpicke, 2007b)
Fear of missing out on data science and machine learning? The trend of automation is not coming to a halt soon. Machines take over more and more traditional jobs from human workers.
But also highly-skilled knowledge workers such as doctors, traditional computer scientists, teachers, and financial analysts are under the danger to be replaced by machines.
This is the era of machine learning and data science.
And missing out on data science can be the #1 most costly mistake of your career.
But you're in luck: this eBook package gives you a fun way to start learning data science with Python. It gives you a thorough introduction in one of Python's most important libraries for data science and machine learning: NumPy.
I have written the book on the basis of the proven method of solving practical code puzzles and practice testing -- to make learning more fun, faster, and smarter.
And here's the best thing: practice testing is scientifically proven to generate up to 44% better learning retention and efficiency.
So what's in it for you?
- Understand NumPy code quickly.
- Learn all the basic NumPy concepts and data structures.
- Finally understand the most important NumPy functions and how to use them for practical problems.
As an additional bonus, you can track your individual NumPy coding skill level throughout the book. After reading the book, you'll know exactly how good you are in comparison to your friends and colleagues.
To get the most out of this book, you should know the basics of Python — e.g., you have already read my previous book "Coffee Break Python".
The book is packed with 211 pages of in-depth NumPy content:
- 46 educative code puzzles to test your skills and to make learning easy and fun!
- 10 tips for efficient learning to help you stop wasting time!
- 1 NumPy cheat sheets to learn 80% of the language features in 20% of the space!
- 1 accurate way to measure your coding skills because clarity is the first step to success!
- [BONUS] 1 detailed NumPy tutorial for absolute beginners to get you started!
Have your "Coffee Break NumPy" now! ;)
About the Authors
Chris is the founder of the programming education company FINXTER, author of the Coffee Break Python series of self-published books, the popular programming book Python One-Liners (NoStarch 2020), a doctorate computer scientist, and owner of one of the top 10 Python blogs worldwide.
His research interests include graph theory and distributed systems.
You can join the FINXTER email academy and consume a large body of free email courses about various topics in computer science and programming.
I love coding and espacially in Python! Python is easy to learn and at the same time it is very powerful. Through the books I would like to help you to discover this! Therefore we designed our puzzle based teaching approach which helps you to learn quickly what you really need and with fun.
I have been working as a Software developer for several years. Currently I'm in the field of operations/SRE of cloud applications.