Coffee Break Python Slicing: 24 Workouts to Master Slicing in Python, Once and for All

Christian Mayer

ISBN 10: 1790213282 / ISBN 13: 9781790213283

Published by Independently published, 2018

About this Item

90 pages. 9.00x6.00x0.21 inches. In Stock.

Seller Inventory # zk1790213282

Bibliographic Details

• Title: Coffee Break Python Slicing: 24 Workouts to Master Slicing in Python, Once and for All
• Publisher: Independently published
• Publication Date: 2018
• Language: English
• ISBN 10: 1790213282
• ISBN 13: 9781790213283
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

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!"

—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!