Coffee Break NumPy: A Simple Road to Data Science Mastery That Fits Into Your Busy Life (Coffee Break Python)

Mayer, Christian/ Rieger, Lukas/ Riaz, Zohaib

ISBN 10: 1076932614 / ISBN 13: 9781076932617

Published by Independently published, 2019

About this Item

219 pages. 9.00x6.00x0.55 inches. In Stock.

Seller Inventory # zk1076932614

Bibliographic Details

• Title: Coffee Break NumPy: A Simple Road to Data Science Mastery That Fits Into Your Busy Life (Coffee Break Python)
• Publisher: Independently published
• Publication Date: 2019
• Language: English
• ISBN 10: 1076932614
• ISBN 13: 9781076932617
• Binding: Paperback
• Condition: Brand New

About this title

Synopsis

Fear of missing out on data science?

Coffee Break NumPy is a new step-by-step system to teach you how to learn Python’s library for data science faster, smarter, and better. You simply solve practical Python NumPy puzzles as you enjoy your morning coffee.

Educational research shows that practical low-stake puzzles and tests help you to learn faster, smarter, and better.

Over 100,000 online Python students have already improved their coding and NumPy skills with the unique Finxter.com puzzle-based learning technique:

"It has some real meat to the problems. Thank you so much for doing this project! I love it!"

—David C.

"Another great little Python book from Christian and his colleagues. As a practitioner in this field, I really appreciate the focus on real-world problems. I can see my coffee breaks will be full for some time to come!"

—Chris C.

As you work through Coffee Break NumPy, your NumPy expertise will grow—one coffee at a time. It’s packed with 46 NumPy puzzles, 10 practical learning tips, 1 compressed cheat sheets, and 1 new way to measure your coding skills.

You will train wildly important NumPy topics such as

• NumPy Arrays: creating, basic array arithmetic, one- and multi-dimensional

• Data Types: float, integer, mixed, access, conversion

• Shape and Reshape: manipulating, accessing, axis argument

• Broadcasting: element-wise operations

• Indexing and Advanced Indexing: filtering, Boolean indexing, list indexing

• Slicing: one-dimensional, multi-dimensional, NumPy-specifics

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

To get most out of this book, you already have basic Python skills. For example, you’ve read my book “Coffee Break Python” or similar introductory Python material.

So how do you spend your Coffee Break? Python!