Dan Toomey - Jupyter for Data Science

BIRMINGHAM - MUMBAI

Copyright 2017 Packt Publishing

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First published: October 2017

Production reference: 1171017

ISBN 978-1-78588-007-0

www.packtpub.com

Dan Toomey has been developing applications for over 20 years. He has worked in a variety of industries and companies of all sizes, in roles from sole contributor to VP/CTO level. For the last 10 years or so, he has been contracting companies in the eastern Massachusetts area under Dan Toomey Software Corp. Dan has also written R for Data Science and Learning Jupyter with Packt Publishing.

Jesse Bacon is a hobbyist programmer and technologist in the Washington D.C. metro area. In his free time, he mostly studies a new and interesting technology or visits the gym pursuing fitness goals. Jesse values the opinions of the development community and looks forward to a new generation of programmers with all the gifts of today's computing environments.

Ruben Oliva Ramos is a computer systems engineer from Tecnologico of Len Institute, with a master's degree in computer and electronic systems engineering, teleinformatics, and networking specialization from the University of Salle Bajio in Leon, Guanajuato Mexico. He has more than 5 years of experience in developing web applications to control and monitor devices connected with Arduino and Raspberry Pi using web frameworks and cloud services to build Internet of Things applications.

He is a mechatronics teacher at the University of Salle Bajio and teaches students of master's in design and engineering of mechatronics systems. He also works at Centro de Bachillerato Tecnologico Industrial 225 in Leon, teaching electronics, robotics and control, automation, and microcontrollers at Mechatronics Technician Career.

Ruben is a consultant and developer projects in areas such as monitoring systems and datalogger data using technologies such as Android, iOS, Windows Phone, HTML5, PHP, CSS, Ajax, JavaScript, Angular, ASP .NET databases (SQlite, mongoDB, and MySQL), web servers (Node.js and IIS), hardware programming (Arduino, Raspberry pi, Ethernet Shield, GPS and GSM/GPRS, ESP8266), and control and monitor systems for data acquisition and programming.

He is the author of these two books for Packt Publishing:

• Internet of Things Programming with JavaScript
• Advanced Analytics with R and Tableau

Also Monitoring, controlling and acquisition of data with Arduino and Visual Basic .NET for Alfaomega.

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Jupyter is an open platform that is growing in use. Jupyter can have programs written in a variety of languages. Many of these languages are geared towards data science, such as R and Python. In this book, we'll look at solving data science problems using a variety of languages on the Jupyter platform.

We will start by looking into some of the basics of Jupyter. Then we will use Jupyter as the platform for our data analysis and visualizations. We'll look into data mining, data wrangling, and machine learning, all under the auspices of the Jupyter framework.