Avoid Duplication of Efforts and Misalignment of Priorities
Team collaboration is essential for leveraging expertise, sharing knowledge, and maintaining organized data science workflows.
Version Control and Reproducibility
Accurately reproduce experiments and validate analyses.
Documentation and Sharing
Centralize code collaboration, explanations, and visualizations.
Environment Management
Analyze and experiment in a consistent and reproducible environment.
Data Sharing and Security
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Streamline your AI with open source through a single platform designed for efficiency, security, governance, and compliance.
Secure Governance
Enterprise-grade governance with role-based access control that aligns with your compliance frameworks
Trusted Distribution
Thousands of vetted Python packages, complete with dependency management and security controls
Actionable Insights
Comprehensive analytics on package usage, team collaboration, and resource utilization to maximize investment
Additional Resources
Why Data Scientists Should Be Excited About Python in Excel
Python in Excel creates a common working platform for data scientists and spreadsheet users, dramatically streamlining the collaboration process
How to set up collaboration on projects
Workbench tracks all changes to a project and lets you know when files have been updated.
