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The Applied Data Science Workshop

You're reading from The Applied Data Science Workshop Get started with the applications of data science and techniques to explore and assess data effectively

Product type Paperback

Published in Jul 2020

Publisher Packt

ISBN-13 9781800202504

Length 352 pages

Edition 2nd Edition

Languages

Python

Tools

Jupyter

Concepts

Data Science

Author (1):

Galea

View More author details

Table of Contents (8) Chapters

Preface

Installing Libraries

1. Introduction to Jupyter Notebooks

2. Data Exploration with Jupyter FREE CHAPTER

3. Preparing Data for Predictive Modeling

4. Training Classification Models

5. Model Validation and Optimization

6. Web Scraping with Jupyter Notebooks

Appendix

Basic Functionality and Features of Jupyter Notebooks

In this section, we will briefly demonstrate the usefulness of Jupyter Notebooks with examples. Then, we'll walk through the basics of how they work and how to run them within the Jupyter platform. For those who have used Jupyter Notebooks before, this will be a good refresher, and you are likely to uncover new things as well.

What Is a Jupyter Notebook and Why Is It Useful?

Jupyter Notebooks are locally run on web applications that contain live code, equations, figures, interactive apps, and Markdown text in which the default programming language is Python. In other words, a Notebook will assume you are writing Python unless you tell it otherwise. We'll see examples of this when we work through our first workbook, later in this chapter.

Note

Jupyter Notebooks support many programming languages through the use of kernels, which act as bridges between the Notebook and the language. These include R, C++, and...

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Authors (1)

Galea

Galea

Alex Galea has been professionally practicing data analytics since graduating with a masters degree in physics from the University of Guelph, Canada. He developed a keen interest in Python while researching quantum gases as part of his graduate studies. Alex is currently doing web data analytics, where Python continues to play a key role in his work. He is a frequent blogger about data-centric projects that involve Python and Jupyter Notebooks.

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