Scaling Python Tools
Travis discusses the challenges of scaling Numpy for array processing and the emergence of Pandas. He shares his vision for creating a future where scientists can build web GUIs in Python, avoiding the necessity of learning JavaScript. The inception of Anaconda stemmed from these insights, aimed at enhancing data computing in Python while exploring innovative funding models.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
765: NumPy, SciPy and the Economics of Open-Source — with Dr. Travis Oliphant
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