Introduction to Bokeh in python.
Welcome to our tutorial on "Introduction to Bokeh in Python"!
Bokeh is an interactive visualization library in Python that allows you to create stunning and dynamic visualizations for your data. In this tutorial, we will take you through the basics of Bokeh and how you can use it to create beautiful and interactive visualizations.
We will start by introducing you to the basic concepts of Bokeh, including its architecture and the different types of plots you can create. Then, we will dive into the coding aspect of Bokeh, and you will learn how to create your first Bokeh plot from scratch.
In the next section, we will explore the various customization options available in Bokeh, including changing colors, adding labels, and adjusting plot ranges. We will also cover how to add interactivity to your Bokeh plots, allowing users to interact with and explore your data.
Finally, we will show you how to embed your Bokeh plots in a web page or a Jupyter Notebook, making it easy to share your visualizations with others.
By the end of this tutorial, you will have a solid understanding of Bokeh and how you can use it to create engaging and interactive visualizations for your data. So sit back, relax, and let's get started with Bokeh in Python!