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|a Adams, Chad,
|e author.
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245 |
1 |
0 |
|a Learning Python data visualization :
|b master how to build dynamic HTML5-ready SVG charts using Python and the pygal library /
|c Chad Adams.
|
264 |
|
1 |
|a Birmingham, England :
|b Packt Publishing,
|c 2014.
|
264 |
|
4 |
|c ©2014
|
300 |
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|a 1 online resource (212 pages) :
|b color illustrations.
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336 |
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|a text
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|a computer
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|a Community Experience Distilled
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588 |
0 |
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|a Online resource; title from PDF title page (ebrary, viewed September 5, 2014).
|
505 |
0 |
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|a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Setting Up Your Development Environment; Introduction; Setting up Python on Windows; Installation; Exploring the Python installation in Windows; Python editors; Setting up Python on Mac OS X; Setting up Python on Ubuntu; Summary; Chapter 2: Python Refresher; Python basics; Importing modules and libraries; Input and output; Generating an image; Creating SVG graphics using svgwrite; For Windows users using VSPT; For Eclipse or other editors on Windows.
|
505 |
8 |
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|a For Eclipse on Mac and LinuxSummary; Chapter 3: Getting Started with pygal; Why use pygal?; Installing pygal using pip; Installing pygal using Python Tools for Visual Studio; Building a line chart; Stacked line charts; Simple bar charts; Stacked bar charts; Horizontal bar charts; XY charts; Scatter plots; DateY charts; Summary; Chapter 4: Advanced Charts; Pie charts; Stacked pie charts; Radar charts; Box plots; Dot charts; Funnel charts; Gauge charts; Pyramid charts; Worldmap charts; Summary; Chapter 5 : Tweaking pygal; Country charts; Parameters; Legend at the bottom; Legend settings.
|
505 |
8 |
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|a Label settingsChart title settings; Displaying no data; pygal themes; Summary; Chapter 6: Importing Dynamic Data; Pulling data from the Web; The XML refresher; RSS and the ATOM; Understanding HTTP; Using HTTP in Python; Parsing XML in Python with HTTP; About JSON; Parsing JSON in Python with HTTP; About JSONP; JSONP with Python; Summary; Chapter 7 : Putting ItAll Together; Chart usage for a blog; Getting our data in order; Converting date strings to dates; Using strptime; Saving the output as a counted array; Counting the array; Python modules; Building the main method.
|
505 |
8 |
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|a Modifying our RSS to return valuesBuilding our chart module; Building a portable configuration for our chart; Setting up our chart for data; Configuring our main function to pass data; Project improvements; Summary; Chapter 8: Further Resources; The matplotlib library; Installing the matplotlib library; matplotlib''s library download page; Creating simple matplotlib charts; Plotly; Pyvot; Summary; Appendix: References and Resources; Links for help and support; Charting libraries; Editors and IDEs for Python; Other libraries and Python alternative shells; Index.
|
520 |
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|a If you are a Python novice or an experienced developer and want to explore data visualization libraries, then this is the book for you. No prior charting or graphics experience is needed.
|
546 |
|
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|a English.
|
590 |
|
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|a eBooks on EBSCOhost
|b EBSCO eBook Subscription Academic Collection - Worldwide
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650 |
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0 |
|a Python (Computer program language)
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650 |
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0 |
|a Command languages (Computer science)
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650 |
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0 |
|a Web sites
|x Authoring programs.
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650 |
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6 |
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650 |
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650 |
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650 |
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7 |
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7 |
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650 |
|
7 |
|a Web sites
|x Authoring programs.
|2 fast
|0 (OCoLC)fst01173249
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776 |
0 |
8 |
|i Print version:
|a Adams, Chad.
|t Learning Python data visualization : master how to build dynamic HTML5-ready SVG charts using Python and the pygal library.
|d Birmingham, England : Packt Publishing, ©2014
|h iii, 195 pages
|k Community experience distilled.
|z 9781783553334
|
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0 |
|a Community experience distilled.
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