Packt Publishing – Jupyter Notebook for All – Part I
English | Size: 300.00 MB
Category: CBTs
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.
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.
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
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