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Full Stack Python

Bokeh is a data visualization library that builds visuals in Python and outputs them in JavaScript.

Data Visualization — Advanced Bokeh Techniques

Towards Data Science

If you are looking to create powerful data visualizations then you should consider using Bokeh. In an earlier article, “How to Create an Interactive Geographic Map Using Python and Bokeh”, I…

Bokeh Interactive Plots: Part 1

Towards Data Science

How to guide to build a custom interactive Bokeh app Photo by Yiorgos Ntrahas on Unsplash Project Overview The best way to understand both the big-picture trends and the nuances of a data set is to e...

Python & Bokeh: From Data to Visualization

Real Python

Building a data visualization with Bokeh involves the following steps: 1. Prepare the data 2. Determine where the visualization will be rendered 3. Set up the figure(s) 4. Connect to and draw your dat...

Interactive plotting with Bokeh

Towards Data Science

As a JupyterLab power user, I like using Bokeh for plotting because of its interactive plots. JupyterLab also offers an extension for interactive matplotlib, but it is slow and it crashes with bigger…...

Angular and Bokeh

Towards Data Science

We recently had the problem to display a chart figure of quality in an app or website. But additionally you want to be able to send update events from the python back-end and have all the nice…

Beginners Guide to Data Visualization with Bokeh

Analytics Vidhya

Bokeh is a data visualization library in Python. It provides highly interactive graphs and plots. What makes it different from other plotting libraries is that the output from Bokeh a web page.

Data Visualization with Bokeh in Python, Part I: Getting Started

Towards Data Science

The most sophisticated statistical analysis can be meaningless without an effective means for communicating the results. This point was driven home by a recent experience I had on my research…

Bokeh, Bokehjs and Observablehq

Towards Data Science

By combining the bokehjs library with Observable you get an interesting alternative to python and bokeh in Jupyter notebooks.

The Battle of Interactive Geographic Visualization Part 7 — Bokeh

Towards Data Science

Using the Bokeh Library to Create Beautiful, Interactive Geoplots Continue reading on Towards Data Science

Python: Visualization with Bokeh

Mouse Vs Python

The Bokeh package is an interactive visualization library that uses web browsers for its presentation. Its goal is to provide graphics in the vein of D3.js that look elegant and are easy to construct....

Data Visualization with Bokeh in Python, Part III: Making a Complete Dashboard

Towards Data Science

Sometimes I learn a data science technique to solve a specific problem. Other times, as with Bokeh, I try out a new tool because I see some cool projects on Twitter and think: “That looks pretty…