Selecting an Enterprise Platform for Python and Open Source: A Checklist for Buyers
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According to Synopys’s 2023 OSS Risk Analysis Report, 96% of code bases contain open-source software. Thanks to its simplicity and versatility, Python remains the gold standard for data science work. The challenge remains in how enterprise organizations can select the best Open-Source Python platform to keep up with the newest techniques and best practices in data science.
Supported by data science experts, this guide will help you:
Evaluate key capabilities for an open-source Python platform that will withstand the demands of your future AI workloads and projects
Identify and mitigate enterprise Python challenges such as streamlining package management, centralizing collaboration and deployment, and securing your open-source pipeline
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