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.
En esta página del sitio puede ver el video en línea Build Interactive Dashboards with Bokeh | Python Data Visualization Tutorial de Duración hora minuto segunda en buena calidad , que subió el usuario Turtle Code 04 febrero 2026, comparta el enlace con amigos y conocidos, en youtube este video ya ha sido visto 384 veces y le gustó 16 a los espectadores. Disfruta viendo!