January 2023
Intermediate to advanced
558 pages
13h 3m
German
Content preview from Datenanalyse mit Python, 3rd Edition
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ANHANG A
NumPy für Fortgeschrittene
In diesem Anhang möchte ich tiefer in die NumPy-Bibliothek für Array-Berechnungen einsteigen. Das bedeutet, Sie werden mehr interne Details über den Typ ndarray und komplexere Array-Manipulationen und -Algorithmen kennenlernen.
Ich behandle in diesem Anhang ganz unterschiedliche Themen, sodass es nicht unbedingt erforderlich ist, ihn streng von vorn nach hinten durchzulesen. Ich werde immer wieder Zufallsdaten für viele Beispiele erzeugen, bei denen ich auf den Standardzufallszahlengenerator im Modul numpy.random zurückgreife:
In [11]: rng = np.random.default_rng(seed=12345)
A.1Interna des ndarray-Objekts
Das NumPy-ndarray bietet ein Mittel, um einen Block aus homogen typisierten Daten (zusammenhängend oder ...
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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.