Open Source Impact
The conversation highlights the growing importance of open source libraries in data science, allowing developers to pursue their passions outside traditional corporate roles. It emphasizes the success stories of individuals like Wes, who transitioned from finance to create impactful tools like pandas. Additionally, the discussion touches on the capabilities of large Bayesian models and the innovative work being done at PYMC labs to solve complex problems efficiently.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 585: PyMC for Bayesian Statistics in Python — with Thomas Wiecki
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