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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
Author (1):
Dan Toomey Dan Toomey
Profile icon Dan Toomey

Table of Contents (17) Chapters

Title Page
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Jupyter and Data Science Working with Analytical Data on Jupyter Data Visualization and Prediction Data Mining and SQL Queries R with Jupyter Data Wrangling Jupyter Dashboards Statistical Modeling Machine Learning Using Jupyter Optimizing Jupyter Notebooks

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.

 

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Jupyter for Data Science
Published in: Oct 2017 Publisher: Packt ISBN-13: 9781785880070
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