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 ...

According to Kleinerman, Python with the proper security and governance will be a differentiator for Snowflake's platform. Rich libraries should also speed up the machine learning pipelines, he added.

Snowflake is also launching Snowflake worksheets for Python, which allows customers to use Python and Snowpark’s DataFrame API for Python to develop data pipelines, machine learning models, and ...

Snowflake is also releasing Snowpark-optimized data platforms, initially on the Amazon Web Services Inc. cloud, so Python developers can run large-scale machine learning training models and other ...

The popularity of Python has been building for years, and it recently knocked C off its perch as the number one language in the TIOBE Index. While the data science community certainly has driven a lot ...

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 ...

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

Snowflake Worksheets for Python, which is in private preview, is designed to allow enterprises to develop pipelines, machine learning models and applications via the company’s web-based ...

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