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 3
Debugging und Profiling
Zusätzlich zu den fortgeschrittenen interaktiven Werkzeugen, die im vorherigen Kapitel besprochen wurden, bietet Jupyter eine Reihe von Möglichkeiten, den ausgeführten Code zu untersuchen und zu verstehen, beispielsweise durch das Auffinden von Fehlern in der Logik oder einer unerwartet langsamen Ausführung. Dieses Kapitel stellt einige dieser Werkzeuge vor.
Fehler und Debugging
Bei der Entwicklung von Code und der Datenanalyse spielen auch Versuch und Irrtum immer eine gewisse Rolle. IPython bringt einige Tools mit, um diesen Vorgang zu optimieren. In diesem Abschnitt werden wir uns kurz mit einigen Optionen zur Konfiguration der Fehlerberichterstattung (Exceptions) in IPython befassen. Anschließend erkunden ...
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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.
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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.