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Learning Jupyter
ISBN
9781785889455
Uitgever
Packt Publishing
Verschenen
30-11-2016
Taal
Engels
Bladzijden
238 pp.
Bindwijze
ebook EPUB
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Learning Jupyter ebook: EPUB met Adobe-DRM

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 BookLearn to write, execute, and comment your live code and formulae all under one roof using this unique guideThis one-stop solution on Project Jupyter will teach you everything you need to know to perform scientific computation with easeThis 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 LearnInstall and run the Jupyter Notebook system on your machineImplement programming languages such as R, Python, Julia, and JavaScript with Jupyter NotebookUse interactive widgets to manipulate and visualize data in real timeStart sharing your Notebook with colleaguesInvite your colleagues to work with you in the same NotebookOrganize your Notebook using Jupyter namespacesAccess 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.
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