Python, every mention
7 scenes (2015) · ← back to Python
tap a year for its mentions
every year 2015 anyone Peter Wang 20Wes McKinney 14Matt Turck 9Jeremy Howard 8Gilad Lotan 6Florian Douetteau 6Solmaz Shahalizadeh 5Jordan Tigani 5Chris Wiggins 5Ben Rogojan (Seattle Data Guy) 5
Verbatim, from the transcripts: the passages where Python comes up
Black Boxes and Unicorns - DataRobot CEO Jeremy Achin
- ▶ 0:59 Jeremy Achin I like tools like R, Python, long walks on the beach.
- ▶ 18:30 Jeremy Achin Um, so we'll, we'll compete algorithms from R, from Python, from H-to-O, Spark, um, and just kind of compete them all against each other and see what works best for yours, right?
Machine Learning in Production with Josh Bloom, Co-founder Wise.io
- ▶ 5:14 Josh Bloom So we try to abstract away all that other stuff that you saw on the previous slide and allow a data scientist to essentially work in the kind of environment that he or she wants, typically in Python,
Richard Socher, MetaMind // Deep Learning for Enterprise (Hosted by FirstMark Capital)
- ▶ 3:12 Richard Socher And you can very easily use it with three lines of Python code right here.
- ▶ 5:48 Richard Socher And we can test it, ah, both via an API, so just three lines of Python code, or we can drag and drop also and see if it actually works.
Chris Wiggins, NY Times // Data Science at The New York Times (Hosted by FirstMark Capital)
- ▶ 1:15 Chris Wiggins So the next time you go to the New York Times, go look in the lobby, he wrote the Python that makes that lobby art go.
- ▶ 18:07 Chris Wiggins We use a lot of Python and scikit-learn. 2 times in the scene