Keynote: Python for Pythonistas

on YouTube ↗38m

" summary

PyData SF 2016 marks the 20th meeting and roughly 230 talks over four years while Python adoption accelerates into deep learning, scientific computing and enterprise use. Concrete claims: GPUs deliver five teraflops per chip (Pascal), 3D XPoint promises persistent memory DIMM-class storage (GA 2017) and numpy/Anaconda/Conda remain core. Advice is tactical then strategic: cure Excel vlookup pains with small scripts, invest in people, and watch architecture follow budgets (Conway's law corollary).

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" chapters (18)

1. 0:00Conference overview
2. 1:53Python in data science
3. 3:57Deep learning with Python
4. 5:40Second data revolution
5. 6:22Why data is hard
6. 7:25End of infrastructure monoculture
7. 10:15Persistent memory future
8. 12:02Accelerating data revolution
9. 13:25Innovation vs churn
10. 15:30Pragmatism and strategy
11. 16:56Python in enterprises
12. 19:04Breaking IT silos
13. 22:36Open source head fake
14. 25:25Conway's law and data
15. 28:12Empowering analysts
16. 30:16Python for business
17. 31:20Python community matters
18. 33:45Q&A

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