Jupyter Notebook for All – Part II
Publisher: Packt Publishing
Final Release Date: March 2017
Run time: 1 hour 13 minutes

Learn how to write code, mathematics, graphics, and output, all in a single document and in a web browser, using Project Jupyter

About This Video

  • 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.

In Detail

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.

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