文字稿 🔗
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…
免责声明: 本页面嵌入的播客和封面图片来自 Michael Kennedy，归其所有者所有，与 Listen Notes, Inc. 无关联，也未获得 Listen Notes, Inc. 背书。
