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Data Visualization with Python and JavaScript book
Data Visualization with Python and JavaScript book

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
Publisher: O'Reilly Media, Incorporated
Format: pdf
ISBN: 9781491920510
Page: 300


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. Then, in Python, import the library and instantiate a lightning object: Pym.js. But if I can write more Python and less JavaScript… well, that makes me happy! A framework for easily creating beautiful presentations using HTML. By the end of this tutorial, you will get enough knowledge that you can leverage for other projects that require interactive data visualization. So, do you know of any Python libraries similar to those Javascript For other types of scientific or data visualizations matplotlib is also good. Bokeh is a new Python library for interactive visualization. [EuroPython 2015] Antony Lesuisse - Odoo the underdog python killer app. Bokeh visualization library, documentation site. Create interactive D3.js charts, reports, and dashboards online. We summarize how Python's effectiveness as a data visualization tool can improve manyfold with the inclusion of D3.js, R and MapReduce. Data-visualisation with Python and Javascript: Crafting a dataviz toolchain for the web. Lightning provides API-based access to reproducible web visualizations.





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