May 2025
Intermediate to advanced
524 pages
16h 25m
German
Content preview from High Performance Python, 3. Auflage
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Kapitel 8. Kompilieren nach C
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Der einfachste Weg, deinen Code schneller laufen zu lassen, ist, ihn weniger arbeiten zu lassen. Wenn du bereits gute Algorithmen ausgewählt und die zu verarbeitende Datenmenge reduziert hast, ist der einfachste Weg, weniger Anweisungen auszuführen, deinen Code in Maschinencode zu kompilieren.
Python bietet hierfür eine Reihe von Optionen, darunter rein C-basierte Kompilierungsansätze wie Cython, LLVM-basierte Kompilierung über Numba und die virtuelle Ersatzmaschine PyPy, die einen integrierten Just-in-Time-Compiler (JIT) enthält. Bei der Entscheidung, welchen Weg du einschlagen willst, musst du die Anforderungen an die Anpassungsfähigkeit des Codes und die Schnelligkeit des Teams abwägen.
Jedes dieser Tools fügt deiner Toolchain eine neue Abhängigkeit hinzu, und Cython erfordert, dass du in einer neuen Sprache schreibst (einer Mischung ...
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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.