Data Visualization with Python and JavaScript. Kyran Dale

Data Visualization with Python and JavaScript


Data.Visualization.with.Python.and.JavaScript.pdf
ISBN: 9781491920510 | 300 pages | 8 Mb


Download Data Visualization with Python and JavaScript



Data Visualization with Python and JavaScript Kyran Dale
Publisher: O'Reilly Media, Incorporated



But if I can write more Python and less JavaScript… well, that makes me happy! 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. The project uses Python and JavaScript and makes use of svg, json, and other cool work that involves functional JavaScript, Python, and data visualization. Data-visualisation with Python and Javascript: Crafting a dataviz toolchain for the web. In this tutorial, we'll see how to visualize the data using the JavaScript library D3.js. D3 is a JavaScript library for visualizing data with HTML, SVG, and CSS. [EuroPython 2015] Antony Lesuisse - Odoo the underdog python killer app. Create interactive D3.js charts, reports, and dashboards online. Bokeh is a new Python library for interactive visualization. I use data science and full-stack data development tools to generate analysis Python's Bokeh and JavaScript's D3 for dynamic 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.





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