LEADER 04060nam 2200481 450 001 9910155043003321 005 20170105015235.0 010 $a1-78588-945-1 035 $a(CKB)3710000000972876 035 $a(MiAaPQ)EBC4755345 035 $a(CaSebORM)9781785884870 035 $a(PPN)220202575 035 $a(EXLCZ)993710000000972876 100 $a20170301h20162016 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $2rdacontent 182 $2rdamedia 183 $2rdacarrier 200 10$aLearning Jupyter $elearn how to write code, mathematics, graphics, and output, all in a single document as well as in a web browser using Project Jupyter /$fDan Toomey 205 $a1st edition 210 1$aBirmingham, England ;$aMumbai, [India] :$cPackt Publishing,$d2016. 210 4$dİ2016 215 $a1 online resource (230 pages) $ccolor illustrations 300 $aIncludes index. 311 $a1-78588-487-5 330 $aLearn how to write code, mathematics, graphics, and output, all in a single document, as well as in a web browser using Project Jupyter About This Book Learn to write, execute, and comment your live code and formulae all under one roof using this unique guide This one-stop solution on Project Jupyter will teach you everything you need to know to perform scientific computation with ease 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 etc Who This Book Is For This 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 Learn Install and run the Jupyter Notebook system on your machine Implement programming languages such as R, Python, Julia, and JavaScript with Jupyter Notebook Use interactive widgets to manipulate and visualize data in real time Start sharing your Notebook with colleagues Invite your colleagues to work with you in the same Notebook Organize your Notebook using Jupyter namespaces Access big data in Jupyter In Detail 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 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 approach 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 Noteb... 517 3 $aLearn how to write code, mathematics, graphics, and output, all in a single document as well as in a web browser using Project Jupyter 606 $aScience$xData processing 606 $aData mining 606 $aInformation visualization 615 0$aScience$xData processing. 615 0$aData mining. 615 0$aInformation visualization. 676 $a502.85 700 $aToomey$b Dan$0480564 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910155043003321 996 $aLearning Jupyter$92865731 997 $aUNINA