Udemy - Interactive Data Visualization With Python And Bokeh

Interactive Data Visualization With Python And Bokeh

https://WebToolTip.com

Last updated 10/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.58 GB | Duration: 6h 48m

A complete guide on creating beautiful plots and data dashboards on the browser using the Python Bokeh library.

What you'll learn
Build advanced data visualization web apps using the Python Bokeh library.
Create interactive modern web plots that represent your data impressively.
Create widgets that let users interact with your plots.
Learn all the available Bokeh styling features.
Integrate and visualize data from Pandas DataFrames.
Create dynamic graphs that plot real-time data.
Plot time-series data.
Integrate your data visualization apps with Flask apps.
Deploy the apps in live servers.
Learn how to troubleshoot Bokeh apps.

Requirements
A working computer (Windows, Mac, or Linux)
Basic knowledge of Python