April 2018
Beginner
238 pages
7h 13m
English
Jupyter has garnered strong interest in the data science community of late, as it makes common data processing and analysis tasks much simpler. This book is for data science professionals who want to master various tasks related to Jupyter to create efficient, easy-to-share scientific applications.
The book starts with recipes on installing and running the Jupyter Notebook system on various platforms and configuring the various packages that can be used with it. You will then see how you can implement different programming languages and frameworks on your Jupyter Notebook, such as Python, R, Julia, JavaScript, Scala, and Spark. This book contains intuitive recipes on building interactive widgets to manipulate and visualize data in ...