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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TEIL I
Mehr als normales Python: Jupyter
Für Python stehen viele verschiedene Entwicklungsumgebungen zur Verfügung, und häufig werde ich gefragt, welche ich für meine eigenen Arbeiten verwende. Einige Menschen überrascht die Antwort: Meine bevorzugte Entwicklungsumgebung ist IPython (http://ipython.org) in Kombination mit einem Texteditor (entweder Emacs oder VSCode – das hängt von meiner Stimmung ab). Jupyter begann als die IPython-Shell, die 2001 von Fernando Perez in Form eines erweiterten Python-Interpreters ins Leben gerufen wurde und sich seither zu einem Projekt entwickelt hat, »Tools für den gesamten Lebenszyklus in der forschenden Informatik« – so Perez’ eigene Worte – bereitzustellen. Wenn man Python als Motor einer Aufgabe von Data ...
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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.