March 2025
Intermediate to advanced
308 pages
7h 2m
Italian
Content preview from DuckDB: installazione e avvio
Become 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,
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.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.I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.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.
Capitolo 4. Usare DuckDB con i Polar
Questo lavoro è stato tradotto utilizzando l'AI. Siamo lieti di ricevere il tuo feedback e i tuoi commenti: translation-feedback@oreilly.com
La maggior parte dei data scientist e degli analisti di dati conosce la libreria pandas. Con pandas, puoi organizzare il tuo set di dati in strutture Series o DataFrame e utilizzare la vasta gamma di funzioni fornite dalla libreria pandas per la manipolazione dei dati. Tuttavia, una delle principali lamentele nei confronti di pandas è la sua lentezza e le sue inefficienze quando si tratta di grandi insiemi di dati. Ciò è dovuto al fatto che pandas è stato originariamente progettato per lavorare con dati tabellari da inserire in memoria. Quando si tratta di grandi insiemi di dati, diventa lento perché deve scambiare i dati in entrata e in uscita dalla memoria.
Per ovviare alle inefficienze di pandas nel lavorare con grandi insiemi di dati, esiste una libreria concorrente: Polars. La prima parte di questo capitolo fornisce un'introduzione a Polars e a come puoi lavorare con essa (proprio come con pandas). La seconda parte di questo capitolo mostra come puoi interrogare i DataFrames di Polars utilizzando DuckDB.
Introduzione ai polari
Polars è una libreria DataFrame completamente scritta in Rust. Polars è stata progettata tenendo conto di quanto segue:
- Velocità
Polars utilizza Rust, un linguaggio di programmazione noto per le sue prestazioni.
- Parallelismo
I Polar possono sfruttare i processori multicore, ...
Become 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,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
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.