Read more about how Snowflake is enabling all teams and users to build with confidence using Snowpark for Python, here. Get started with Snowpark for Python today with this quickstart guide, here.

Snowflake (SNOW) has recently announced at its annual user conference the expansion of its native Python support to advance programmability in the data cloud.

Snowflake launches Snowpark for Python, now available to all customers in public preview, making Python’s rich ecosystem of open-source packages and libraries accessible for data scientists ...

Support for Python is in private preview and is being added to Snowpark, Snowflake ’s compute framework for automating computational workflows for data analytics, data science and data engineering use ...

Python’s robust syntax and rich ecosystem of open-source packages make it a popular choice for developers, and Snowflake’s continued partnership with Anaconda extends access to more Python ...

Snowflake's updates include support for Python on the Snowpark application development system , data access capabilities, and external tables for on-premises storage.

Snowflake did provide the terms of the deal. But the company said the move will expand Python capabilities in its data platform, giving enterprise users and developers an easier way to work.

Python, the most popular language for data science and machine learning, gets a huge boost from Dask, an open source framework for running it in a distributed way on top of GPUs. Saturn Cloud, a ...