LEADER 00891nam0-2200301---450- 001 990009081540403321 005 20090730113726.0 010 $a0-8493-2082-8 035 $a000908154 035 $aFED01000908154 035 $a(Aleph)000908154FED01 035 $a000908154 100 $a20090730d2006----km-y0itay50------ba 101 0 $aeng 105 $aa-------001yy 200 1 $aScientific Protocols for Fire Investigation$fJohn J. Lentini 210 $aBoca Raton$cTaylor & Francis$dc2006 215 $aXX, 584 p.,$cill.$d26 cm 225 1 $aProtocols in Forensic Science Series 610 0 $aFire Investigation 700 1$aLentini,$bJohn J.$0505895 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990009081540403321 952 $a04 004-361$bDIC 4932$fDINCH 959 $aDINCH 996 $aScientific Protocols for Fire Investigation$9784463 997 $aUNINA LEADER 04358nam 2200601 450 001 9910797378603321 005 20180613002605.0 010 $a1-78398-755-3 035 $a(CKB)3710000000437608 035 $a(EBL)2081454 035 $a(SSID)ssj0001566814 035 $a(PQKBManifestationID)16210990 035 $a(PQKBTitleCode)TC0001566814 035 $a(PQKBWorkID)14833978 035 $a(PQKB)10973568 035 $a(MiAaPQ)EBC2081454 035 $a(CaSebORM)9781783987542 035 $a(PPN)228032881 035 $a(EXLCZ)993710000000437608 100 $a20150813h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMastering matplotlib $ea practical guide that takes you beyond the basics of matplotlib and gives solutions to plot complex data /$fDuncan M. McGreggor 205 $a1st edition 210 1$aBirmingham, England ;$aMumbai, [India] :$cPackt Publishing,$d2015. 210 4$dİ2015 215 $a1 online resource (292 p.) 225 1 $aCommunity Experience Distilled 300 $aIncludes index. 311 $a1-78398-754-5 327 $aCover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Up to Speed; A brief historical overview of matplotlib; What's new in matplotlib 1.4; The intermediate matplotlib user; Prerequisites for this book; Python 3; Coding style; Installing matplotlib; Using IPython Notebooks with matplotlib; Advanced plots - a preview; Setting up the interactive backend; Joint plots with Seaborn; Scatter plot matrix graphs with Pandas; Summary; Chapter 2: The matplotlib Architecture; The original design goals 327 $aThe current matplotlib architectureThe backend layer; FigureCanvasBase; RendererBase; Event; Visualizing the backend layer; The artist layer; Primitives; Containers; Collections; A view of the artist layer; The scripting layer; The supporting components of the matplotlib stack; matplotlib modules; Exploring the filesystem; Exploring imports visually; ModuleFinder; ModGrapher; The execution flow; An overview of the script; An interactive session; The matplotlib architecture as it relates to this book; Summary; Chapter 3: matplotlib APIs and Integrations; The procedural pylab API 327 $aThe pyplot scripting APIThe matplotlib object-oriented API; Equations; Helper classes; The Plotter class; Running the jobs; matplotlib in other frameworks; An important note on IPython; Summary; Chapter 4: Event Handling and Interactive Plots; Event loops in matplotlib; Event-based systems; The event loop; GUI toolkit main loops; IPython Notebook event loops; matplotlib event loops; Event handling; Mouse events; Keyboard events; Axes and figure events; Object picking; Compound event handling; The navigation toolbar; Specialized events; Interactive panning and zooming; Summary 327 $aFile and directory locationsUsing the matplotlibrc file; Updating the settings dynamically; Options in IPython; Summary; Chapter 7: Deploying matplotlib in Cloud Environments; Making a use case for matplotlib in the Cloud; The data source; Defining a workflow; Choosing technologies; Configuration management; The types of deployment; An example - AWS and Docker; Getting set up locally; Requirements; Dockerfiles and the Docker images; Extending a Docker image; Building a new image; Preparing for deployment; Getting setup on AWS; Pushing the source data to S3; Creating a host server on EC2 327 $aUsing Docker on EC2 330 $aIf you are a scientist, programmer, software engineer, or student who has working knowledge of matplotlib and now want to extend your usage of matplotlib to plot complex graphs and charts and handle large datasets, then this book is for you. 410 0$aCommunity experience distilled. 606 $aPython (Computer program language) 606 $aCharts, diagrams, etc$xComputer programs 615 0$aPython (Computer program language) 615 0$aCharts, diagrams, etc.$xComputer programs. 676 $a005.133 700 $aMcGreggor$b Duncan M.$01505058 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910797378603321 996 $aMastering matplotlib$93734464 997 $aUNINA