Jupyter Notebook for All - Part II [Video]

More Information
Learn
  • Use interactive widgets to manipulate and visualize data in real time
  • Start sharing your Notebook with colleagues
  • Invite your colleagues to work with you in the same Notebook
  • Organize your Notebook using Jupyter namespaces
  • Access big data in Jupyter
About

Jupyter Notebook is a web-based environment that enables interactive computing in notebook documents. It allows you to create and share documents that contain live code, equations, visualizations, and explanatory text. The Jupyter Notebook system is extensively used in domains such as data cleaning and transformation, numerical simulation, statistical modeling, machine learning, and much more.

This tutorial starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next you will learn to integrate the Jupyter system with different programming languages such as R, Python, JavaScript, and Julia; further, you'll explore the various versions and packages that are compatible with the Notebook system. Moving ahead, you'll master interactive widgets, namespaces, and working with Jupyter in multiuser mode. Towards the end, you will use Jupyter with a big dataset and will apply all the functionalities learned throughout the video.

Style and Approach

This comprehensive practical guide will teach you how to work with the Jupyter Notebook system. It demonstrates the integration of various programming languages with Jupyter Notebook through hands-on examples in every section.

Features
  • Write, execute, and comment your live code and formulae under one roof using this unique tutorial.
  • This one-stop solution will teach you everything you need to know about Project Jupyter to perform scientific computation with ease.
  • This easy-to-follow, highly practical video facilitates scientific application development by leveraging big data tools such as Apache Spark, Python, R, and more.
Course Length 1 hour 14 minutes
ISBN 9781788299169
Date Of Publication 29 Mar 2017

Authors

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.