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

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 ...

Snowflake SNOW recently announced expansion of its native Python support to advance programmability in the data cloud. Snowflake has launched Snowpark for Python, which is now available for public ...

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.

Data cloud specialist Snowflake has used its Snowday event to make several announcements, including the debut of native Python support and a variety of enhancements to other products and services ...

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 ...

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 ...

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 ...

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 ...

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