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Super Data Science: ML & AI Podcast with Jon Krohn
765: NumPy, SciPy and the Economics of Open-Source, with Dr. Travis Oliphant
Mar 12, 2024
Dr. Travis Oliphant, creator of NumPy and SciPy, discusses the origins and future of these Python libraries, Anaconda's start, Numba's market entry, Python's impact on scientists, commercial projects supporting open-source efforts, and the future of scientific computing and Python libraries.
01:37:29
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Quick takeaways
- Dr. Travis Oliphant discussed the journey from personal need to global impact with NumPy and SciPy.
- Anaconda was born from the need to scale array computing in Python, bridging the gap between desktop GUIs and web GUIs.
Deep dives
Creation of NumPy and SciPy
Dr. Travis Oliphant, the creator of NumPy and SciPy, details the journey of creating these essential Python libraries for working with data. From his initial need for useful tools in scientific work at Mayo Clinic to recognizing the gap between computer scientists and scientists in Python, Travis highlights the need for Python to be beneficial for scientific programming. This led to the emergence of foundational libraries like NumPy and SciPy, ultimately catering to the scientific Python community.
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Discover
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Listen to the best highlights from the podcasts you love and dive into the full episode