Build Interactive Dashboards with Bokeh | Python Data Visualization Tutorial
In this video, we’ll go through 10 real-world Bokeh examples to help you master interactive data visualization with Python.
From simple plots to dynamic dashboards, we’ll explore how Bokeh turns your code into beautiful, browser-based visuals — all without writing a single line of JavaScript.
Github Source Code:
https://github.com/turtlecode/Build-I...
📚 Chapters:
0:00 - Introduction – What is Bokeh and What We’ll Build
0:13 - Example 1: Simple Line Plot
1:53 - Example 2: Scatter Plot
2:50 - Example 3: Bar Chart – Visualizing Fruit Sales
3:32 - Example 4: Multiple Lines – Linear vs. Exponential Growth
4:06 - Example 5: Hover Tool – Interactive Data Exploration
4:53 - Example 6: Bubble Chart – Adding Randomness and Size
5:41 - Example 7: Time Series – Plotting Data Over Time
6:38 - Example 8: Slider Interaction – Dynamic Data Updates
7:47 - Example 9: Mini Dashboard – Combining Multiple Charts
8:40 - Example 10: Real-Time Data – Live Updating Plot
💡 What you’ll learn:
🔶 How to create interactive charts using Bokeh
🔶 How to use tools like hover, zoom, and sliders
🔶 How to build dashboards and real-time visualizations
🔶 How to export plots as HTML files and share them easily
Perfect for Python beginners, data enthusiasts, and data analysts who want to make their visualizations stand out.
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