March 2025
Intermediate to advanced
504 pages
12h 5m
Italian
Content preview from Python Polars: la guida definitiva
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Capitolo 5. API Eager e Lazy
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Ora che hai compreso le strutture e i tipi di dati disponibili in Polars, esamineremo le due diverse interfacce di programmazione delle applicazioni (API) per interagire con i dati: l'API eager e l'API lazy. Ciascuna API si rivolge a casi d'uso specifici e ha caratteristiche di performance uniche. La comprensione di queste API è fondamentale per utilizzare in modo efficace le capacità di elaborazione e analisi dei dati di Polars.
In questo capitolo imparerai:
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L'API eager utilizza un modello di esecuzione immediata, ideale per l'esplorazione dei dati e per le attività iterative.
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L'API pigra rinvia l'esecuzione delle trasformazioni dei dati fino a quando non è necessario, il che consente di ottimizzare in modo completo le query e di migliorare le prestazioni, soprattutto in scenari su larga scala e sensibili alle prestazioni.
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Quali API si adattano a quali casi d'uso e come scegliere quella giusta per le tue esigenze
Le istruzioni per ottenere i file di cui potresti avere bisogno sono riportate nel Capitolo 2. Partiamo dal presupposto che i file si trovino nella sottodirectory dei dati.
API Eager: DataFrame
L'API eager di Polars opera secondo un modello di esecuzione immediata, in cui ogni funzione viene eseguita sequenzialmente, riga per riga, sul set di dati. Questo approccio è particolarmente efficace ...
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