From the course: Interactive Dashboards with Plotly and Dash
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Installing Plotly and Dash
From the course: Interactive Dashboards with Plotly and Dash
Installing Plotly and Dash
- [Instructor] Now let's take a look at the libraries we'll be working with throughout this course, Plotly and Dash. Plotly is an open-source JavaScript-based library that focuses on creating interactive visualizations with the Python R or Julia programming languages. In this course, we're going to be focused on the Python implementation, but if you do work with these languages or know folks that work with these languages, it's worth making them aware that there are implementations in other languages that are common in analytics and data science. Plotly is a wonderful visualization library, and many folks have adopted it as their go-to library for creating both static and interactive visualizations. Personally, I still tend to use the Matplotlib and Seaborn, but you might fall in love with the syntax and the aesthetics of Plotly, and that's great. If your organization is open to you using Plotly on a regular basis, you may just find that you're going to Plotly before you go to a…
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Contents
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Why interactive visuals?6m 3s
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Installing Plotly and Dash6m 25s
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The anatomy of a Dash application6m 51s
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The world's simplest Dash app9m 29s
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Dash component deep dive4m 55s
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Interactive elements7m 59s
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Callback functions8m 19s
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Demo: Callback functions5m 20s
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Options for running your application5m 24s
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Assignment: Simple Dash application2m 38s
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Solution: Simple Dash application4m 31s
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Plotly visuals and Dash graph components9m 54s
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Tying interactive elements to visuals8m 11s
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Assignment: A more realistic Dash app2m 30s
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Solution: A more realistic Dash app6m 43s
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Key takeaways1m 15s
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