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Python Data Science Essentials. - Third Edition

You're reading from Python Data Science Essentials. - Third Edition

Product type Book

Published in Sep 2018

Publisher Packt

ISBN-13 9781789537864

Pages 472 pages

Edition 3rd Edition

Languages

Concepts

Author (1):

Alberto Boschetti

Table of Contents (11) Chapters

Preface

1. First Steps

2. Data Munging

3. The Data Pipeline

4. Machine Learning

5. Visualization, Insights, and Results

6. Social Network Analysis

7. Deep Learning Beyond the Basics

8. Spark for Big Data

9. Strengthen Your Python Foundations

10. Other Books You May Enjoy

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Creating NumPy arrays

There is more than one way to create NumPy arrays. The following are some of the ways you can create them:

By transforming an existing data structure into an array
By creating an array from scratch and populating it with default or calculated values
By uploading some data from a disk into an array

If you are going to transform an existing data structure, the odds are in favor of you working with a structured list or a pandas DataFrame.

From lists to unidimensional arrays

One of the most common situations you will encounter when working with data is transforming a list into an array.

When operating such a transformation, it is important to consider the objects the lists contain because this will determine...

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Authors (1)

Alberto Boschetti

Alberto Boschetti is a data scientist with expertise in signal processing and statistics. He holds a Ph.D. in telecommunication engineering and currently lives and works in London. In his work projects, he faces challenges ranging from natural language processing (NLP) and behavioral analysis to machine learning and distributed processing. He is very passionate about his job and always tries to stay updated about the latest developments in data science technologies, attending meet-ups, conferences, and other events.

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