Python Data Visualization Transcripts
Chapter: Streamlit
Lecture: Installation
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Let's discuss how to get your streamlit environment set up, fortunately you can install stream lit using pip as we've done in previous exercises.
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You can use python -m pip install streamlit and everything should be ready to go in your environment.
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One thing I wanted to call out is that streamlit does have its own native plot types. Some basic plot types,
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such as line and bar charts and geographic charts are available. I'm not going to cover that.
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So for this course will focus on the libraries that we've already reviewed.
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As I mentioned, streamlit is a very recently developed library and it is constantly evolving
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and improving. I encourage you to take a look at some of the beta features
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and evaluate those and look at the documentation to see if there are improvements to the
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code that have been made that you may want to incorporate your own visualizations.
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And then finally, there is a library of third party apps that provide additional specialized
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functionality. You can view those at the URL on the screen.