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

Talk Python To Me

Michael Kennedy

Technology

4.8 • 635 Ratings

🗓️ 18 April 2020

⏱️ 59 minutes

🔗️ Recording | iTunes | RSS

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Summary

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?

Transcript

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0:00.0	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,
0:06.8	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 even in a Jupyter notebook.
0:18.8	What if you could take that same code, sprinkle in a bit of a simple API,
0:23.2	and turn it into a fast and dynamic single-page web application
0:26.8	that allows your users to dive into the visualizations
0:29.7	right there in the app?
0:32.0	Well, that's basically what the folks over at Streamlet created,
0:35.3	and we're going to dive into it with one of the creators, Adrian
0:38.1	Truel. This is Talk Python to Me, episode 260 recorded April 9th, 2020.
1:03.1	Welcome to Talk Python to Me, a weekly podcast on Python, the language, the libraries, the ecosystem, and the personalities.
1:07.1	This is your host, Michael Kennedy. Follow me on Twitter where I'm at M. Kennedy.
1:10.9	Keep up with a show and listen to past episodes at talk python.fm.
1:13.3	And follow the show on Twitter via at Talk Python.
1:19.7	This episode is sponsored by Linode and Reuven Learner's Ace Python interviews course.
1:23.7	Please check out what they're both offering during their segments. It really helps support the show.
1:26.1	Adrian, welcome to Talk Python to me.
1:28.9	Hey, Mike. So excited to be here. Thanks a lot for inviting me on the show. Hi, it's super to have you here on the show. Adrian, welcome to talk Python to me. Hey, Mike, so excited to be here. Thanks a lot for inviting me on the show. Hey, it's super and happy here on the show. A ton of people reached out to me
1:33.9	when Streamlet was initially launched saying, there's this new thing. It has changed my world. You have
1:40.8	to talk to the people behind it. And so now I'm excited to talk to the people behind it.
1:45.0	Yeah, totally. It's awesome to hear that. And, you know, definitely for someone who's spent a lot of time,
1:53.2	you know, in a room programming alone, it's really cool to have made something and hear people say,
1:59.0	this is awesome. This, you know know really changed my life and my work
	...

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