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#260 From basic script to interactive data sci app with Streamlit

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Manage episode 259193235 series 2497444
Content provided by Talk Python To Me Podcast and Michael Kennedy. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Talk Python To Me Podcast and Michael Kennedy or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
If you work on the data science or data visualization side of Python, you may have come to it from a scripting side of things. Writing just a little Python, using its magical libraries, with little structure or formalism to build a powerful analysis tool that runs in the terminal or maybe a jupyter notebook. What if you could take that same code, sprinkle in just a bit of a simple API, and turn it into a fast and dynamic single page application allowing your users to dive into the visualizations on the web? Well, that's basically what the folks over at Streamlit created! We'll dive into it with one of the creators, Adrien Treuille. Full show notes over at https://talkpython.fm/episodes/show/260/from-basic-script-to-interactive-data-sci-app-with-streamlit
  continue reading

636 episodes

Artwork
iconShare
 
Manage episode 259193235 series 2497444
Content provided by Talk Python To Me Podcast and Michael Kennedy. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Talk Python To Me Podcast and Michael Kennedy or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.
If you work on the data science or data visualization side of Python, you may have come to it from a scripting side of things. Writing just a little Python, using its magical libraries, with little structure or formalism to build a powerful analysis tool that runs in the terminal or maybe a jupyter notebook. What if you could take that same code, sprinkle in just a bit of a simple API, and turn it into a fast and dynamic single page application allowing your users to dive into the visualizations on the web? Well, that's basically what the folks over at Streamlit created! We'll dive into it with one of the creators, Adrien Treuille. Full show notes over at https://talkpython.fm/episodes/show/260/from-basic-script-to-interactive-data-sci-app-with-streamlit
  continue reading

636 episodes

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