The document summarizes the SciPy 2010 conference which had 187 attendees. The major theme was parallel computing and GPUs, with tutorials on high performance computing, Python concurrency, and GPU programming in Python. There were also sessions on parallel libraries and GPU frameworks like Theano. A minor theme was statistics and data structures, with talks on Pandas, Statsmodels, and N-dimensional data arrays. Other sessions covered bioinformatics, astronomy, machine learning, and Python libraries like NumPy and PyZMQ. Attendees also participated in sprints to contribute to Python scientific computing packages.

1. SciPy 2010 Review
Eric Jones • July 16, 2010

8. 187 attendees.

9. 187 attendees
120 Tutorials
50 Sprints

10. 187 attendees
120 Tutorials
50 Sprints
•
96 Industry/Government
57 Academics
36 Students

11. 187 attendees
>50% growth rate
from 2009
•
EuroSciPy 2010 had
140 attendees...
>100-200% growth!

12. Major Theme:
Parallel Computing and GPUs

13. Parallel Computing and GPUs
TUTORIAL: High Performance & Parallel Computing
Brian Granger
Multiple libraries for a similar task:
• Multiprocessing
• MPI4Py
• PyZMQ
• IPython
• PiCloud

14. Parallel Computing and GPUs
TUTORIAL: GPUs and Python
Andreas Klockner

15. Parallel Computing and GPUs
KEYNOTE: Python Concurrency
David Beazley

16. Parallel Computing and GPUs
GENERAL SESSION: Theano: Transparent GPU computing
James Bergstra, Olivier Breuleux, Frederic Bastien, Pascal Lamblin, Razvan
Pascanu, Guillaume Desjardins, Joseph Turian, Yoshua Bengio

17. Parallel Computing and GPUs
GENERAL SESSION: Simple, Fast Messaging in Python
with 0MQ and PyZMQ Brian Granger

18. Parallel Computing and GPUs
SPECIALIZED TRACK....
Dan Yamins, StarFlow ➞

19. Minor Theme:
Stats (and the data structures for them)

20. Stats (and the data structures for them)
GENERAL SESSION:
Statsmodels Pandas
Skipper Seabold Wes McKinney

21. Stats (and the data structures for them)
BOFs
Wiki
http://projects.scipy.org/numpy/wiki/NdarrayWithNamedAxes
Docs
http://fperez.org/py4science/datarray/

22. Stats (and the data structures for them)
Sprints Warren Weckesser, Anthony Scopatz
• Added tests to scipy.stats to
bring it more in line with testing
in other SciPy packages.
• Added a preliminary N-
dimensional contingency table
model with tests.
• Skipper Seabold worked on a
refactor of scipy.stats
distributions.

23. Minor Theme:
BioInformatics

24. Bioinformatics

25. Other Interesting Talks...

26. KEYNOTE: Moving Forward from the Last Decade of SciPy
Travis Oliphant

27. Divisi: Learning from Semantic Networks and Sparse SVD
Rob Speer

28. Do Google, Bing, & Yahoo Differ?
Contingency Table Analysis on Search Engines
Anthony Scopatz

29. Python Evangelism 101 (Lightning talk)
Peter Wang

30. Various Astronomy talks...
Rebuilding the Hubble Keeping the Chandra Satellite
Exposure Time Calculator Cool with Python
Perry Greenfield Tom Aldcroft
SpacePy: A Python-based library of tools Astrodata
for the space sciences Craig Allen
Steven K. Morley, Josef Koller, Daniel T.
Welling, Michael G. Henderson

31. Sprints

36. PyZMQ

37. NumPy
datetime

40. Thank you.