Treffer: Learning Jupyter

Title:
Learning Jupyter
Publisher Information:
Packt Publishing 2016
Document Type:
E-Ressource Electronic Resource
Index Terms:
Availability:
Open access content. Open access content
copyrighted
Note:
English
Contributing Source:
CYBERLIBRIS
From OAIster®, provided by the OCLC Cooperative.
Accession Number:
edsoai.on1268813799
Database:
OAIster

Weitere Informationen

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