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 ...

In a nod to the growing importance of data science and AI development on its platform, Snowflake today unveiled that its upcoming Winter Release will support for executing code written in Python, ...

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

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 ...

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.

Anaconda today announced support for Snowflake Notebooks, an interactive, cell-based data science notebook similar to Jupyter. The move will let data scientists, data analysts, and data engineers ...

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

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

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 ...

One hundred times faster data science on the table, a few lines of code away Saturn Cloud was founded in April 2019. From then till today's announcement of the partnership with Snowflake, which ...