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Building the world's most popular data science platform

Practical AI

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Navigating Open Source in Data Science

This chapter examines the intricate landscape of open-source data science tools, focusing on a company's strategy to align its business model with open-source principles. It discusses the significance of genuine collaboration, the challenges of avoiding vendor lock-in, and the evolving role of software governance in enterprise environments. The conversation emphasizes the importance of data literacy and accessibility in fostering inclusivity within the data science community, particularly through tools like Jupyter Notebooks.

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