ОТНОСТНО ТОЗИ ЕПИЗОД
See the full show notes for this episode on the website at talkpython.fm/285
Английски
САЩ
ТРАНСКРИПЦИЯ 🔗
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…
ТЪРСЕНЕ на МИНАЛИ ЕПИЗОДИ
Търсене в минали епизоди на Talk Python To Me.
Опровержение: Подкастът и произведенията на изкуството, вградени на тази страница, са от Michael Kennedy, което е собственост на неговия собственик и не е свързано с или одобрено от Listen Notes, Inc.
РЕДАКТИРАНЕ
Благодарим Ви, че помогате да поддържаме базата данни за подкастове актуална.
