Learning Jupyter

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 book starts with a detailed overview of the Jupyter Notebook system and its installation in different environments. Next we’ll help you will learn to integrate Jupyter system with different programming languages such as R, Python, JavaScript, and Julia and explore the various versions and packages that are compatible with the Notebook system. Moving ahead, you master interactive widgets, namespaces, and working with Jupyter in a multiuser mode.

Towards the end, you will use Jupyter with a big data set and will apply all the functionalities learned throughout the book.

What you will learn:

- Install and run the Jupyter Notebook system on your machine
- Implement programming languages such as R, Python, Julia, and JavaScript with Jupyter Notebook
- 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