With more than 30 million users, Anaconda is the world's most popular data science platform and the foundation of modern machine learning.

As data science and machine learning adoption has grown over the last few years, Python is catching up to SQL in popularity within the world of data processing. SQL and Python are both powerful on their own, but their value in modern analytics is highest when they work together. This was a key motivator for us at Snowflake to build Snowpark for Python to help modern analytics, data engineering, data developers, and data science teams generate insights without complex infrastructure management for separate languages. Today we're excited to announce that Snowpark for Python is now in general availability, making all three Snowpark languages ready for production workloads! For Python, this milestone brings production-level support for a variety of programming contracts and even more pre-installed open source packages such as Prophet's forecasting library, h3-Py library for geospatial analytics, and others.

This guide will show you how to use Snowflake's Snowpark with Python UDF's, to leverage Snowflake's compute power to run Machine Learning models using Python. This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license. This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given. Let's split the Digits data into training and test and save them as separate tables in Snowflake. If you have a few variable transformations to do before modeling, you can implement them using a pipeline and they will be packaged up along with the model in the udf.

C3 AI and Snowflake are partnering to give Snowflake customers access to C3 AI's development tools and enterprise applications, including AI-driven CRM, predictive maintenance, supply network optimization, and fraud detection apps, the companies announced. Billed as a way to "deliver next-generation enterprise AI applications at scale," the partnership will make C3 AI's suite of Integrated Development Studio (IDS) tools -- including C3 AI Data Studio, C3 AI ML Studio, C3 AI App Studio, C3 AI DevSecOps Studio, and C3 AI Marketplace -- available to Snowflake users. Customers using Snowflake's cloud-based data warehousing platform will also get access to C3 AI's AI Suite of operational and security apps based on the C3 AI model-driven architecture. Services provided by those apps include data persistence, batch and stream processing, time-series normalization, auto-scaling, data encryption, attribute and role-based access control, and AI/ML services. "The C3 AI Suite and C3 AI's prebuilt enterprise-grade models significantly speed and simplify the development of enterprise AI applications. As our customers deploy enterprise AI applications at scale, integration with C3 AI to Snowpark will accelerate the development and deployment of complex AI and machine learning use cases," Snowflake senior vice president Christian Kleinerman said in a statement.