ОБ ЭТОМ ЭПИЗОДЕ
See the full show notes for this episode on the website at talkpython.fm/285
английский
США
РАСШИФРОВКА 🔗
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…
ПОИСК ПРОШЛЫХ ЭПИЗОДОВ
Искать прошлые эпизоды Talk Python To Me.
Отказ от ответственности: Подкаст и иллюстрации, встроенные в эту страницу, взяты из Michael Kennedy, который является собственностью его владельца и не связан или не одобрен Listen Notes, Inc.
ИЗМЕНИТЬ
Спасибо, что помогаете поддерживать базу подкастов актуальной.
