bokeh

Bokeh is an interactive data visualization library designed for Python, enabling developers to create visually appealing and interactive plots and dashboards that can be easily rendered in modern web browsers. It simplifies the process of generating complex visualizations by allowing users to write their code in Python, eliminating the need for context switching between Python and JavaScript. Bokeh is particularly useful for handling large datasets and offers a variety of customizable visual elements, known as glyphs, to represent data effectively. Its user-friendly interface makes it accessible for both beginners and experienced data scientists looking to enhance their data storytelling.

Bokeh

Full Stack Python

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

Interactive Data Visualization with Python Using Bokeh

Towards Data Science

Recently I came over this library, learned a little about it, tried it, of course, and decided to share my thoughts. From official website: “Bokeh is an interactive visualization library that targets…...

Start using this Interactive Data Visualization Library: Python Bokeh Tutorial

Towards AI

Data visualization is a key to Data Analysis. Whether to understand the hidden patterns or layers in Data or analyze the metrics or insights of a product or Expo our Analysis to Nontechnical Clients,...

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

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...

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…

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...

8 Tips for Creating Data Visualizations in Python using Bokeh

Towards Data Science

Quick tips and examples to create data visualizations using the Bokeh library Photo by Lukas Blazek on Unsplash Python is a great open-source tool to create data visualizations. There are many data v...

Draw Beautiful and Interactive Line Charts Using Bokeh in Python

Towards Data Science

Draw fancy interactive line charts using Bokeh in Python. Customise legends, tooltips, y-axis scales. Data Analysts and Data Scientists must know.

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…