50 min
Peter Wang — Anaconda, Python, and Scientific Computing Gradient Dissent: Conversations on AI
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- Technology
Peter Wang talks about his journey of being the CEO of and co-founding Anaconda, his perspective on the Python programming language, and its use for scientific computing.
Peter Wang has been developing commercial scientific computing and visualization software for over 15 years. He has extensive experience in software design and development across a broad range of areas, including 3D graphics, geophysics, large data simulation and visualization, financial risk modeling, and medical imaging.
Peter’s interests in the fundamentals of vector computing and interactive visualization led him to co-found Anaconda (formerly Continuum Analytics). Peter leads the open source and community innovation group.
As a creator of the PyData community and conferences, he devotes time and energy to growing the Python data science community and advocating and teaching Python at conferences around the world. Peter holds a BA in Physics from Cornell University.
Follow peter on Twitter: https://twitter.com/pwang
https://www.anaconda.com/
Intake: https://www.anaconda.com/blog/intake-...
https://pydata.org/
Scientific Data Management in the Coming Decade paper: https://arxiv.org/pdf/cs/0502008.pdf
Topics covered:
0:00 (intro) Technology is not value neutral; Don't punt on ethics
1:30 What is Conda?
2:57 Peter's Story and Anaconda's beginning
6:45 Do you ever regret choosing Python?
9:39 On other programming languages
17:13 Scientific Data Management in the Coming Decade
21:48 Who are your customers?
26:24 The ML hierarchy of needs
30:02 The cybernetic era and Conway's Law
34:31 R vs python
42:19 Most underrated: Ethics - Don't Punt
46:50 biggest bottlenecks: open-source, python
Visit our podcasts homepage for transcripts and more episodes!
www.wandb.com/podcast
Get our podcast on these other platforms:
YouTube: http://wandb.me/youtube
Soundcloud: http://wandb.me/soundcloud
Apple Podcasts: http://wandb.me/apple-podcasts
Spotify: http://wandb.me/spotify
Google: http://wandb.me/google-podcasts
Join our bi-weekly virtual salon and listen to industry leaders and researchers in machine learning share their work:
http://wandb.me/salon
Join our community of ML practitioners where we host AMA's, share interesting projects and meet other people working in Deep Learning:
http://wandb.me/slack
Our gallery features curated machine learning reports by researchers exploring deep learning techniques, Kagglers showcasing winning models, and industry leaders sharing best practices.
https://wandb.ai/gallery
Peter Wang talks about his journey of being the CEO of and co-founding Anaconda, his perspective on the Python programming language, and its use for scientific computing.
Peter Wang has been developing commercial scientific computing and visualization software for over 15 years. He has extensive experience in software design and development across a broad range of areas, including 3D graphics, geophysics, large data simulation and visualization, financial risk modeling, and medical imaging.
Peter’s interests in the fundamentals of vector computing and interactive visualization led him to co-found Anaconda (formerly Continuum Analytics). Peter leads the open source and community innovation group.
As a creator of the PyData community and conferences, he devotes time and energy to growing the Python data science community and advocating and teaching Python at conferences around the world. Peter holds a BA in Physics from Cornell University.
Follow peter on Twitter: https://twitter.com/pwang
https://www.anaconda.com/
Intake: https://www.anaconda.com/blog/intake-...
https://pydata.org/
Scientific Data Management in the Coming Decade paper: https://arxiv.org/pdf/cs/0502008.pdf
Topics covered:
0:00 (intro) Technology is not value neutral; Don't punt on ethics
1:30 What is Conda?
2:57 Peter's Story and Anaconda's beginning
6:45 Do you ever regret choosing Python?
9:39 On other programming languages
17:13 Scientific Data Management in the Coming Decade
21:48 Who are your customers?
26:24 The ML hierarchy of needs
30:02 The cybernetic era and Conway's Law
34:31 R vs python
42:19 Most underrated: Ethics - Don't Punt
46:50 biggest bottlenecks: open-source, python
Visit our podcasts homepage for transcripts and more episodes!
www.wandb.com/podcast
Get our podcast on these other platforms:
YouTube: http://wandb.me/youtube
Soundcloud: http://wandb.me/soundcloud
Apple Podcasts: http://wandb.me/apple-podcasts
Spotify: http://wandb.me/spotify
Google: http://wandb.me/google-podcasts
Join our bi-weekly virtual salon and listen to industry leaders and researchers in machine learning share their work:
http://wandb.me/salon
Join our community of ML practitioners where we host AMA's, share interesting projects and meet other people working in Deep Learning:
http://wandb.me/slack
Our gallery features curated machine learning reports by researchers exploring deep learning techniques, Kagglers showcasing winning models, and industry leaders sharing best practices.
https://wandb.ai/gallery
50 min