November 2023
Intermediate to advanced
576 pages
13h 30m
German
Content preview from Handbuch Data Science mit PythonBecome 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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KAPITEL 24
Leistungsstarkes Pandas: eval und query
In den vorherigen Kapiteln haben wir festgestellt, dass die Leistungsfähigkeit der PyData-Umgebung auf der Fähigkeit von NumPy und Pandas beruht, grundlegende Operationen mittels einer intuitiven Syntax in maschinennahe kompilierte Anweisungen zu verschieben. Beispiele hierfür sind vektorisierte Operationen und Broadcasting in NumPy sowie Gruppierungsoperationen in Pandas. Diese Abstraktionen sind zwar für viele gängige Anwendungsfälle effizient und effektiv, sie beruhen jedoch häufig auf dem Erzeugen zwischenzeitlich vorhandener temporärer Objekte, was zu einem übermäßigen Aufwand an Rechenzeit und Speicherbedarf führen kann.
Um hier Abhilfe zu schaffen, bringt Pandas einige Methoden mit, die ...
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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.