Data Visualization with Python and JavaScript by Kyran Dale

Data Visualization with Python and JavaScript



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Data Visualization with Python and JavaScript Kyran Dale ebook
Page: 300
Format: pdf
Publisher: O'Reilly Media, Incorporated
ISBN: 9781491920510


Manipulate your data in Python, then visualize it in on a Leaflet map via Folium. Make beautiful maps with Leaflet.js & Python. Rickshaw.js is a great JavaScript library built on D3 by the folks at a small library for creating Rickshaw visualizations with Pandas timeseries data structures. Data Visualization with Python and JavaScript [Kyran Dale] on Amazon.com. I use data science and full-stack data development tools to generate analysis Python's Bokeh and JavaScript's D3 for dynamic visualizations. Without JavaScript, D3 would never exist, and web-based data visualizations . Bokeh visualization library, documentation site. Bokeh is a Python interactivevisualization library that targets modern web Its goal is to provide elegant, concise construction of novel graphics in the style of D3.js, and to extend this like to quickly and easily create interactive plots, dashboards, and data applications. Strengths of the Leaflet.js library. Lightning provides API-based access to reproducible web visualizations. * FREE* shipping on qualifying offers.





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