August 2021
Beginner
282 pages
5h 36m
English
Content preview from Getting Started with Streamlit for Data Science
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Chapter 8: Deploying Streamlit Apps with Heroku and AWS
In Chapter 5, Deploying Streamlit with Streamlit Sharing, we learned how to deploy our Streamlit applications with Streamlit Sharing. Streamlit Sharing is quick, easy, and very effective for most applications but has a few downsides, mainly that we are limited by only being able to host three free applications at once and that we also are limited in the computational power at hand. The following excerpt is from the Streamlit Sharing page:
If you are in a situation where you want to deploy more than three applications at a time, or you want more compute as you run, for example, more complex ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.