OM DETTA AVSNITT
See the full show notes for this episode on the website at talkpython.fm/285
Engelsk
USA
UTSKRIFT 🔗
WEBVTT
00:00:00.001 --> 00:00:02.880
If you're into data science, you've probably heard about Dask.
00:00:02.880 --> 00:00:07.820
It's a package that feels like familiar APIs such as NumPy, Pandas, and scikit-learn.
00:00:07.820 --> 00:00:12.360
Yet it can scale that computation across CPU cores on your local machine
00:00:12.360 --> 00:00:16.440
all the way to distributed grid-based computing in large clusters.
00:00:16.440 --> 00:00:21.300
While powerful, this takes some setup to execute in it…
00:00:00.001 --> 00:00:02.880
If you're into data science, you've probably heard about Dask.
00:00:02.880 --> 00:00:07.820
It's a package that feels like familiar APIs such as NumPy, Pandas, and scikit-learn.
00:00:07.820 --> 00:00:12.360
Yet it can scale that computation across CPU cores on your local machine
00:00:12.360 --> 00:00:16.440
all the way to distributed grid-based computing in large clusters.
00:00:16.440 --> 00:00:21.300
While powerful, this takes some setup to execute in it…
SÖK TIDIGARE AVSNITT
Sök efter tidigare avsnitt från Talk Python To Me.
Ansvarsfriskrivning: Podcasten och konstverket som är inbäddat på den här sidan är från Michael Kennedy, som är dess ägares egendom och inte anslutet till eller godkänt av Listen Notes, Inc.
REDIGERA
Tack för att du hjälper till att hålla databasen över podcaster uppdaterad.
