October 2019
Beginner to intermediate
674 pages
16h 43m
English
Content preview from Mastering pandas - Second Edition
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Reading parquet files
Apache Parquet is another file format that makes use of columnar compression for efficient read and write operations. It was designed to be compatible with big data ecosystems such as Hadoop and can handle nested data structures and sparsely populated columns. Though the parquet and feather formats share a similar base, parquet has a better compression routine than feather. The compressed file is smaller in parquet than it is in feather. Columns with similar data types use the same encoding for compression. The use of different encoding schemes for the compression of parquet makes it efficient. Just like feather, parquet is a binary file format that can work well with all pandas data types and is supported across several ...
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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.