Learning Jupyter
Dan Toomey
- 238 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Learning Jupyter
Dan Toomey
About This Book
Learn how to write code, mathematics, graphics, and output, all in a single document, as well as in a web browser using Project JupyterAbout This Bookā¢ Learn to write, execute, and comment your live code and formulae all under one roof using this unique guideā¢ This one-stop solution on Project Jupyter will teach you everything you need to know to perform scientific computation with easeā¢ This easy-to-follow, highly practical guide lets you forget your worries in scientific application development by leveraging big data tools such as Apache Spark, Python, R etcWho This Book Is ForThis book caters to all developers, students, or educators who want to execute code, see output, and comment all in the same document, in the browser. Data science professionals will also find this book very useful to perform technical and scientific computing in a graphical, agile manner.What You Will Learnā¢ Install and run the Jupyter Notebook system on your machineā¢ Implement programming languages such as R, Python, Julia, and JavaScript with Jupyter Notebookā¢ Use interactive widgets to manipulate and visualize data in real timeā¢ Start sharing your Notebook with colleaguesā¢ Invite your colleagues to work with you in the same Notebookā¢ Organize your Notebook using Jupyter namespacesā¢ Access big data in JupyterIn DetailJupyter 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.Style and approachThis 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 chapter.