A complete guide on creating beautiful plots and data dashboards on the browser using the Python Bokeh library.
InstructorArdit Sulce | 600,000+ Students
Instruction extends beyond plotting to include embedding Bokeh within Flask and Django applications, as well as setting up VPS environments for live deployment.
The curriculum moves from basic glyphs to advanced real-time data streaming of financial and random datasets.
Rapid updates to Bokeh and Python have rendered several demonstrated functions and scripts deprecated, necessitating manual code adjustments. While the displayed update date suggests recent maintenance, a review from May 2026 indicates that some chapters remain outdated.
Some lessons include on-the-fly code corrections and visual issues like small font sizes or obscured views during execution. A review from 2020 notes these difficulties, though the update label does not prove a correction has been made.
The content aligns with the target of Python users interested in data visualization, though web server configuration gaps exist.