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Data Visualization with Python and JavaScript

Data Visualization with Python and JavaScript by Kyran Dale

Data Visualization with Python and JavaScript



Download Data Visualization with Python and JavaScript

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


Build Richly Interactive Visualizations on Streaming & Big Data with Open That's why we created Bokeh, an interactive visualization framework for Python. Bearcart - Creating Rickshaw.js visualizations with Python Pandas. I am available for consultancy , prototyping, analysis etc. Make beautiful maps with Leaflet.js & Python. A small library for creating Rickshaw visualizations with Pandas timeseries data structures. I use data science and full-stack data development tools to generate analysis Python's Bokeh and JavaScript's D3 for dynamic visualizations. D3 is also provided in a “minified” version, d3.v3.min.js, from which . There are good alternatives out there like processing.js, raphael.js, etc. Home · Blog · Visualizations · Blackapps · About . [EuroPython 2015] Antony Lesuisse - Odoo the underdog python killer app. Factorial | data types | exception | closure | shadowing | constructor | inheritance. Together Matplotlib, the popular Python-based graphing library, and D3js, the popular Javascript library for creating interactive data visualizations for the web. Manipulate your data in Python, then visualize it in on a Leaflet map via Folium. Strengths of the Leaflet.js library.





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