September 2023
Intermediate to advanced
300 pages
6h 14m
English
Content preview from Streamlit for Data Science - Second Edition
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9
Connecting to Databases
In the previous chapters we focused entirely on data stored in individual files, but most of the real-world, work-based applications center around data stored in databases. Companies tend to store their data in the cloud, and therefore, being able to perform analyses on this data is a critical skill. In this chapter, we will explore how to access and use data stored in popular databases such as Snowflake and BigQuery. For each database, we’ll connect to the database, write SQL queries, and then make an example app.
Whether you are looking to perform ad hoc analysis on large datasets or build data-driven applications, the ability to efficiently retrieve and manipulate data from databases is essential. By the end of this ...
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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.