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 ...

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 ...

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 ...

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 ...

Snowflake (NYSE: SNOW), the Data Cloud company, today announced at its Snowday event that data scientists, data engineers, and application developers ...

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

In addition, Snowflake is adding support for Anaconda, a distribution of Python for scientific computing that is intended to simplify package management and deployment.

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 kicked off its annual conference today by making a slew of improvements to its cloud data warehouse, including the introduction of native apps for purchase in its Snowflake Marketplace, ...

Snowflake is also releasing Snowpark-optimised warehouses (public preview in AWS), so Python developers can run large scale ML training and other memory-intensive operations directly in Snowflake ...