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Coffee Break Python by Christian Mayer in pdf

 

Download this PDF book: Coffee Break Python: 50 Workouts to Kickstart Your Rapid Code Understanding in Python by Christian Mayer 

How to learn Python during your coffee break?

Coffee Break Python is a new step-by-step system to teach you how to learn Python faster, smarter, and better. You do nothing but solving one practical Python puzzle as you enjoy your morning coffee.

Why should you care about puzzle-based learning?

Educational research shows that practical low-stake puzzles and tests help you to learn faster, smarter, and better. We used this for coding in Coffee Break Python and our academy Finxter/com.

13,000 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?

As you work through Coffee Break Python, your Python expertise will grow—one coffee at a time. It’s packed with 50 Python puzzles, 10 practical learning tips, 5 compressed cheat sheets, and 1 new way to measure your coding skills.

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, matrix search, bubble sort, quick sort, lexicographical sort, guess & check, binary search, and graph traversal.

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.

So how do you spend your Coffee Break? Python!

Introduction

The great code masters Knuth, Torvalds, and Gates share one character trait: the ambition to learn. If you are reading this book, you are an aspiring coder and you seek ways to advance your coding skills. 

You already have some experience in writing code, but you feel that there is a lot to be learned before you become a master coder.

You want to read and understand code better. You want to challenge the status quo that some of your peers understand code faster than you. 

Or you are already pro-cient with another programming language like Java or C++ but want to learn Python to become more valuable to the market place. Either way, you have already proven your ambition to learn and, therefore, this book is for you. To join the league of the great code masters, you only have to do one thing: stay in the game.

Contents:

1 Introduction 

2 A Case for Puzzle-based Learning 

3 The Elo Rating for Python 

4 A Quick Overview of the Python Language 

5 Fifty Code Puzzles 

6 Final Remarks

About the book:

Publisher ‏ : ‎ Independently published (September 10, 2018)

Language ‏ : ‎ English

Pages ‏ : ‎ 194 

File : PDF, 3MB

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