Book Image

Jupyter for Data Science

By : Dan Toomey
Book Image

Jupyter for Data Science

By: Dan Toomey

Overview of this book

Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create documents that contain live code, equations, and visualizations. This book is a comprehensive guide to getting started with data science using the popular Jupyter notebook. If you are familiar with Jupyter notebook and want to learn how to use its capabilities to perform various data science tasks, this is the book for you! From data exploration to visualization, this book will take you through every step of the way in implementing an effective data science pipeline using Jupyter. You will also see how you can utilize Jupyter's features to share your documents and codes with your colleagues. The book also explains how Python 3, R, and Julia can be integrated with Jupyter for various data science tasks. By the end of this book, you will comfortably leverage the power of Jupyter to perform various tasks in data science successfully.
Table of Contents (17 chapters)
Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface

About the Reviewers

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 León 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.

I would like to thank my savior and lord, Jesus Christ, for giving me the strength and courage to pursue this project; to my dearest wife, Mayte; our two lovely sons, Ruben and Dario; my dear father, Ruben; my dearest mom Rosalia; my brother, Juan Tomas; and my sister, Rosalia, whom I love. This is for all their support while reviewing this book, for allowing me to pursue my dream and tolerating not being with them after my busy day. I'm very grateful to Packt Publishing for giving the opportunity to collaborate as an author and reviewer and join to this honest and professional team.