<?xml version="1.0" encoding="UTF-8"?>
<feed xmlns="http://www.w3.org/2005/Atom">
    <title>parallel-computing</title>
    <link rel="self" type="application/atom+xml" href="https://links.biapy.com/guest/tags/3388/feed"/>
    <updated>2026-04-27T10:33:25+00:00</updated>
    <id>https://links.biapy.com/guest/tags/3388/feed</id>
            <entry>
            <id>https://links.biapy.com/links/11736</id>
            <title type="text"><![CDATA[Dask]]></title>
            <link rel="alternate" href="https://www.dask.org/" />
            <link rel="via" type="application/atom+xml" href="https://links.biapy.com/links/11736"/>
            <author>
                <name><![CDATA[Biapy]]></name>
            </author>
            <summary type="text">
                <![CDATA[Parallel Python, Fast and Easy. Scale the Python tools you love.

Easy Parallel Python that does what you need.
Dask is a flexible parallel computing library for analytics. 

- [Dask @ GitHub](https://github.com/dask/dask).

Related contents:

- [Owning a $5M data center @ Comma.ai blog](https://blog.comma.ai/datacenter/).]]>
            </summary>
            <updated>2026-02-06T14:03:22+00:00</updated>
        </entry>
    </feed>
