April 2024
Beginner to intermediate
500 pages
24h 20m
English
Content preview from Python Programming in Context, 4th Edition
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5.7 Summary
This chapter used external data sources as input into Python programs. Some of these data sources, called text files, can reside on a local machine or may be available via the Internet. We showed how to create formatted output by using format strings, which allows for structured output, as well as formatted numeric values, columns of data, and justification. We used list comprehension to filter the external data. We also accessed real earthquake data on the Internet in CSV, pandas, and JSON formats and used statistical functions to analyze the data. Finally, we developed another statistical function called correlation.
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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.