April 2016
Beginner
156 pages
3h 23m
English
Content preview from NumPy EssentialsBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Structured arrays
Structured arrays or record arrays are useful when you perform computations, and at the same time you could keep closely related data together. For example, when you process incident data and each incident contains geographic coordinates and the occurrence time, while you calculate the final result, you can easily find the associated geographic locations and timepoint for further visualization. NumPy also provides powerful capabilities to create arrays of records, as multiple data types live in one NumPy array. However, one principle in NumPy that still needs to be honored is that the data type in each field (you can think of this as a column in the records) needs to be homogeneous. Here are some simple examples that show you ...
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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.
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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.