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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.

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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.

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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.

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Geospatial Data Visualization with Bokeh

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

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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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