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:

• ​4​6 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! ;)

Why do you 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!"

—David C.

"Your site is awesome."

—Victor A.

"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."

—Jesper R.

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,

• You have already experience with another programming language—it’s time to tackle Python.
• You are a professional engineer and want to brush up your Python skills.
• You are a student and need to get better at Python for academic courses.
• You have read the first book of our Coffee Break Python series.

So how do you spend your Coffee Break? Python!

Little time to learn Python?

Python puzzles help you to learn faster, smarter, and better. This book offers 50 educative code puzzles, 10 tips for efficient learning, 5 Python cheat sheets, and 1 accurate way to measure your coding skills. 13,000 Python students have already improved their coding skills on our puzzle-based learning academy Finxter.com.

"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!"—David C.

"Your site is awesome."—Victor A.

"I found Finxter.com an excellent tool to brush up on my Python skills."—Jesper R.

As you work through Coffee Break Python, your Python expertise will grow—one coffee at a time. You will train wildly important Python topics such as

- Arithmetic operations: integer & float division, and modular arithmetic;

- Language elements: branching, loops, keywords, and functions;

- Data structures: integer, float, string, list, set, dictionary, and graph;

- Sequence operators: indexing, concatenation, slicing, and built-in functions;

- Function *arguments: default *, arbitrary *, unpacking *, keyword *;

- Set operations: lambda, filter, map, and intersection functions; and

- Algorithms: recursion, Fibonacci, Bsearch, sorting, guess & check, and graph traversal.

As a bonus, you will track your individual Python coding skill level throughout the book.

To get the most out of this book, you should be slightly beyond beginner-level in Python—e.g., you have already experience with another programming language, are a professional engineer, or a student.

So how do you spend your Coffee Break? Python!

Puzzle-based Learning Python

This book is the chess grandmaster way of learning Python. It offers you 127 unique and brand-new Python puzzles. Every puzzle points to gaps in your knowledge, challenges you to guess a solution, and then explains potential solutions, in an easy-to-understand manner:

~~~

# Here’s one example puzzle:

my_list = [1, 1, 1, 1]

my_list[1::2] = [2, 3]

print(my_list)

# What’s the output of this code snippet?

~~~

An easy, fun, and effective way of learning Python -- day after day -- in your COFFEE BREAK PYTHON!

Here's what research says about puzzle-based learning:

"Students who were quizzed after studying a short text could recall significantly more information than students who were asked to reread it"

-- Karpicke, 2007, Elsevier Journal of Memory and Language

Practice testing is scientifically proven to generate up to 44% better learning retention and efficiency.

Simply put: quizzes and puzzles work! More than 100,000 Finxters and thousands of "Coffee Break Python" book customers have already successfully improved their skills with code puzzles.

Learning does not happen in a linear and orderly manner. It's a probabilistic, chaotic, and iterative process of creating knowledge gaps in your brain -- and filling them with just the right information you need.

That's the premise of the "Coffee Break Python" textbook series.

What will you get out of the book?

• Improve your level of deep Python code understanding.
• Surprise your peers with your newly acquired code speed reading skills.
• Enjoy the small daily doses of intellectual challenges. A Finxter once called it "Sudoku for coders"! ;)
• Improve your brain's working memory by hammering down the most important concepts.
• Learn all the basic Python syntax elements.
• Discover your own skill level by tracking your puzzle-solving performance.
• Compare your skill level against other coders: are you a grandmaster of code?
• Enjoy the fun of rushing over Python -- from "hello world" to "recursive Quicksort".
• Get the best of all Finxter Python cheat sheets to revive 80% of the Python features in 20% of the time.
• Get your dream job and rock future code interviews!

And take one step forward mastering the most popular programming language ON THE PLANET!