Snowflake said it will begin supporting Python in its Snowpark developer framework. With the move, Snowflake, a data cloud vendor, will widen its appeal with data scientists, data engineers and ...

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines ...

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 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 ...

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 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.

After ignoring Python, Snowflake is making an abrupt about-face by launching support for the language and buying Streamlit for $800 million.

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 ...

Anaconda partners with Snowflake to provide the Python developer community the ability to build scalable and secure data pipelines and machine learning workflows with the latest open-source ...

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