Bokeh Server Applications

This folder contains multiple Bokeh server applications demonstrating different interactive features that require a Bokeh server (not available in static Jupyter notebooks).

Prerequisites

Make sure you have Bokeh installed:

bash

pip install bokeh pandas numpy

Running the Applications

Each script can be run independently using the Bokeh server:

Method 1: Run Individual Apps

bash

# Navigate to this directory
cd bokeh_server_apps

# Run any individual app
bokeh serve 01_simple_slider.py
bokeh serve 02_multiple_controls.py
bokeh serve 03_real_time_streaming.py
bokeh serve 04_interactive_data_table.py
bokeh serve 05_linked_plots.py

Then open your browser to: http://localhost:5006/[script_name]

For example: - http://localhost:5006/01_simple_slider - http://localhost:5006/02_multiple_controls

Method 2: Run All Apps Together

You can serve multiple apps at once:

bash

bokeh serve 01_simple_slider.py 02_multiple_controls.py 03_real_time_streaming.py 04_interactive_data_table.py 05_linked_plots.py 06_interactive_presentation.py

This will make all apps available at: - http://localhost:5006/01_simple_slider - http://localhost:5006/02_multiple_controls - http://localhost:5006/03_real_time_streaming - http://localhost:5006/04_interactive_data_table - http://localhost:5006/05_linked_plots - http://localhost:5006/06_interactive_presentation

Method 3: Run Entire Directory

bash

bokeh serve bokeh_server_apps/*.py

Application Descriptions

1. 01_simple_slider.py - Basic Slider Interaction

Single amplitude slider controlling a sine wave
Real-time plot updates
Console logging of changes

2. 02_multiple_controls.py - Complex Control Panel

Multiple sliders (amplitude, frequency, phase)
Select dropdowns for function and line style
Checkboxes for display options
Real-time info display
Demonstrates various Bokeh widgets

3. 03_real_time_streaming.py - Live Data Streaming

Start/stop streaming controls
Adjustable update rate
Window size control
Real-time statistics
Demonstrates periodic callbacks

4. 04_interactive_data_table.py - Data Table Integration

Interactive scatter plot linked to data table
Filter controls (category, value)
Add/remove data points
Selection synchronization
Live statistics update

5. 05_linked_plots.py - Linked Selection Across Plots

Four scatter plots with shared data source
Box and lasso selection tools
Selection linked across all plots
Histogram of selected data
Statistics table for selected points

6. 06_interactive_presentation.py - Full Presentation System 🆕

Complete presentation framework with 6 slides
Navigation controls (prev/next/jump to slide)
Auto-play mode for hands-free presentation
Progress bar and slide selector
Multiple interactive visualizations per slide:
Welcome slide with animated scatter plot
Data overview dashboard with bar, line, and heatmap
Interactive function explorer with controls
Time series analysis with moving averages
Correlation matrix heatmap
Conclusions with summary cards
Each slide contains fully interactive Bokeh plots

Key Differences from Notebook Bokeh

These server apps demonstrate features NOT available in static notebook output:

Python Callbacks: Real-time Python function execution
Periodic Updates: Streaming and animated data
Two-way Communication: Widgets that update plots and vice versa
Shared State: Multiple plots sharing selections and data
Dynamic Data: Add/remove/filter data on the fly
Server-side Processing: Complex calculations in Python

Custom Port

To run on a different port:

bash

bokeh serve --port 5007 01_simple_slider.py

Allow External Connections

To allow connections from other machines:

bash

bokeh serve --allow-websocket-origin="*" 01_simple_slider.py

Development Mode

For development with auto-reload on file changes:

bash

bokeh serve --dev 01_simple_slider.py

Troubleshooting

Port already in use: Kill existing Bokeh server or use different port
Module not found: Ensure all required packages are installed
No display: Check browser console for JavaScript errors
Slow updates: Adjust update rates in streaming apps

Notes

These apps require an active Bokeh server connection
Closing the browser doesn't stop the server (use Ctrl+C)
Each app maintains its own state
Console output appears in the terminal, not the browser