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Explore the challenges of running Python in enterprise data teams in this 53-minute PyCon US talk sponsored by Snowflake. Learn valuable lessons from building for PyData developers with a focus on flexibility, performance, and library compatibility. Discover two critical aspects of enterprise Python implementation: APIs and runtimes. Understand how to scale pandas for any data size using Modin and how it integrates with other PyData stack tools. Gain insights into managing runtime compatibility, including environment customization techniques and effective strategies for notebook-based workflows.
