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SKU/Artículo: AMZ-1785884875
Learning Jupyter
Format:
Paperback
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.60 kg
0.60 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
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USA
USA
Sobre este producto
- Key FeaturesLearn 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 etcBook DescriptionJupyter 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 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 JupyterAbout the AuthorDan Toomey has been developing applications for over 20 years. He has worked in a variety of industries and size companies in roles from sole contributor to VP/CTO level. For the last 10 years or so, he has been contracting to companies in the eastern Massachusetts area. Dan has been contracting under Dan Toomey Software Corp. Again, as a contractor developer in the area. Dan has also written R for Data Sciences with Packt Publishing.Table of ContentsIntroduction to JupyterJupyter Python ScriptingJupyter R ScriptingJupyter Julia ScriptingJupyter JavaScript CodingInteractive WidgetsSharing and Converting Jupyter NotebooksMultiuser Jupyter NotebooksJupyter ScalaJupyter and Big Data
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U$S 79,74
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