From the course: Python Data Visualization: Create Impactful Visuals, Animations, and Dashboards by Pearson
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Basic Plotly - Python Tutorial
From the course: Python Data Visualization: Create Impactful Visuals, Animations, and Dashboards by Pearson
Basic Plotly
So Plotly is the final visualization package we're going to be looking at in this course. Plotly was founded in 2012 in Montreal, Canada, and the Python version, Plotly.py, is essentially a wrapper around Plotly.js, which is a JavaScript library for visualization. This is similar to Bokeh, which also relies on JavaScript as a way of providing interactivity for your visualizations and allow you to zoom in and pan and have tooltips and so on. It supports a huge range of interactive visualizations, interactive graphs across a large number of different applications and fields. It's integrated into Dask, which is a framework for building web-based analytic applications. So depending on exactly what you're planning on doing, if you're trying to integrate this into a web application, for example, or just a regular website, Plotly might be a good choice for you. So here we have a screenshot of the official gallery, which again highlights some of the variety of visualizations they're able to…