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Jupyter for Data Science

You're reading from Jupyter for Data Science

Product type Book

Published in Oct 2017

Publisher Packt

ISBN-13 9781785880070

Pages 242 pages

Edition 1st Edition

Languages

Concepts

Author (1):

Dan Toomey

Table of Contents (17) Chapters

Title Page

Credits

About the Author

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Jupyter and Data Science

2. Working with Analytical Data on Jupyter

3. Data Visualization and Prediction

4. Data Mining and SQL Queries

5. R with Jupyter

6. Data Wrangling

7. Jupyter Dashboards

8. Statistical Modeling

9. Machine Learning Using Jupyter

10. Optimizing Jupyter Notebooks

Credits

Author

Dan Toomey

Copy Editor

Safis Editing

Reviewers

Jesse Bacon

Ruben Oliva Ramos

Project Coordinator

Nidhi Joshi

Commissioning Editor

Amey Varangaonkar

Proofreader

Safis Editing

Acquisition Editor

Amey Varangaonkar

Indexer

Tejal Daruwale Soni

Content Development Editor

Aishwarya Pandere

Graphics

Tania Dutta

Technical Editor

Prasad Ramesh

Production Coordinator

Aparna Bhagat

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Authors (1)

Dan Toomey

Dan Toomey has been developing application software for over 20 years. He has worked in a variety of industries and companies, in roles from sole contributor to VP/CTO-level. For the last few years, he has been contracting for companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Dan has also written R for Data Science, Jupyter for Data Sciences, and the Jupyter Cookbook, all with Packt.

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