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 1
Der Einstieg in IPython und Jupyter
Beim Schreiben von Code für Data Science verfolge ich normalerweise drei Arbeitsweisen: Ich benutze die IPython-Shell, um kurze Folgen von Befehlen auszuprobieren, das Jupyter Notebook für längere interaktive Analysen und um Inhalte mit anderen zu teilen sowie interaktive Entwicklungsumgebungen (IDEs) wie Emacs oder VSCode, um wiederverwendbare Python-Pakete zu erstellen. Dieses Kapitel konzentriert sich auf die ersten beiden Methoden: die IPython-Shell und das Jupyter Notebook. Der Einsatz einer IDE für die Softwareentwicklung ist ein wichtiges drittes Werkzeug im Repertoire der Data Scientists, auf das wir hier aber nicht direkt eingehen.
Die IPython-Shell starten
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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.