October 2024
Beginner to intermediate
404 pages
8h 50m
English
Content preview from Pandas Cookbook - Third Edition
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Preface
pandas is a library for creating and manipulating structured data with Python. What do I mean by structured? I mean tabular data in rows and columns like what you would find in a spreadsheet or database. Data scientists, analysts, programmers, engineers, and others are leveraging it to mold their data.
pandas is limited to “small data” (data that can fit in memory on a single machine). However, the syntax and operations have been adopted by or inspired other projects: PySpark, Dask, and cuDF, among others. These projects have different goals, but some of them will scale out to big data. So, there is value in understanding how pandas works as the features are becoming the de facto API for interacting with structured data.
I, Will Ayd, ...
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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.