Coffee Break Python Slicing: 24 Workouts to Master Slicing in Python - KING OF EXCEL

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Sunday, October 11, 2020

Coffee Break Python Slicing: 24 Workouts to Master Slicing in Python

 

Coffee Break Python Slicing: 24 Workouts to Master Slicing in Python
Christian Mayer
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!
Year:
2018
Publisher:
Leanpub
Language:
english
Pages:
90
ISBN:
B07KSHLLG5
File:
PDF, 4.48 MB
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