Streamlit integration, which had previously been in public preview, is now generally available, allowing developers to build data analytics and machine learning models in Python on top of Snowflake.

Additionally, Snowflake brings python-based app development to its Data Cloud through Streamlit integration. The vendor acquired Streamlit, an open source app framework in Python language, in March.

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 ...

Snowpark for Python’s native integration within Snowflake. Source: Anaconda “As a major contributor to open source projects, Snowflake wanted to bring enterprise-grade open-source innovation to the ...

In the months since its public preview announcement and expanded Anaconda integration at Snowflake Summit 2022, Snowpark for Python has seen 6x growth in adoption, with hundreds of customers ...

The integration will allow developers to create applications with Python using their data in Snowflake, deploy and run these applications on Snowflake’s governed platform…. and share their ...

“The integration of Snowflake Notebooks with Anaconda represents a significant step forward in our mission to democratize Python and enable users to perform data science and AI tasks more efficiently, ...

Snowflake also said that it was adding a Streamlit integration for application development and iteration. Streamlit, which is an open source app framework in Python targeted at machine learning ...

Snowflake for Python is in private preview. According to Snowflake, Snowpark already supports Java and Scala, and the addition of Python is likely to attract more developers.