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Bokeh

Bokeh is a Python library for interactive visualization that targets modern web browsers. It allows developers to create interactive plots, dashboards, and data applications using a concise and expressive syntax. Bokeh provides a high-level interface for creating rich, interactive visualizations, while also offering low-level control for customization. With its seamless integration with Python data science libraries like NumPy, Pandas, and SciPy, Bokeh is widely used for building dynamic and visually appealing data-driven applications

Introduction to Bokeh for Interactive Data Visualization

Get started with Bokeh for interactive data visualization. Explore plotting techniques, interactive widgets, and creating dynamic visualizations with Bokeh.

Advanced Data Visualization with Bokeh

Take your data visualization skills to the next level with Bokeh. Explore advanced plotting techniques, server deployment options, and creating interactive dashboards with Bokeh.

Interactive Web Applications with Bokeh

Learn to build interactive web applications with Bokeh. Explore server-side apps, REST API development, and creating rich user experiences with Bokeh.

Geospatial Data Visualization with Bokeh

Learn to visualize geospatial data with Bokeh. Explore mapping techniques, geographic plots, and creating interactive maps with Bokeh.

Data Visualization Best Practices with Bokeh

Learn best practices for data visualization with Bokeh. Explore design principles, effective storytelling techniques, and creating impactful visualizations with Bokeh.

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