SciPy 2015

Scientific Computing with Python on July 6-12, 2015 http://www.scipy2015.scipy.org/
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Julie Hollek | 한여울 @ #SciPy2023 @jkru

"if someone says 'do you want more data? you say yes.’ “ more labeled data = better algorithms #scipy2015 #MachineLearning

2015-07-06 22:18:36
Dr. T. E. Pickering 🔭 @te_pickering

wow, #cython turns a 2 line .pyx file into 16k lines of C. #SciPy2015

2015-07-06 22:25:25
Molly Peeples @astronomolly

I fear that with all of of the Python experts out of the building this week (#scipy2015) we're going to revert to IDL and supermongo. #STScI

2015-07-06 22:29:09
Matt Craig @astronomatty

from #skimage at #scipy2015, re: jet: Is that a beauty mark on the man's upper lip? No, it's just an artifact of this ridiculous colormap.

2015-07-06 22:31:07
Likelihood T. Prior @CjBayesian

"1000x speedup is not uncommon" -- diving into cython with Kurt Smith #SciPy2015

2015-07-06 22:41:03
Julie Hollek | 한여울 @ #SciPy2023 @jkru

if someone else has extracted features you don’t have to be an expert in the domain that the data were collected #scipy2015 #MachineLearning

2015-07-06 22:47:39
Kevin Beam @kwbeam

Learning how to overlay actors using a green screen in #SciPy2015. Look out Hollywood.

2015-07-06 23:03:29
Julie Hollek | 한여울 @ #SciPy2023 @jkru

Most retractions for #MachineLearning papers due to faulty training/test split algorithms. Proceed with caution #scipy2015

2015-07-06 23:08:21
Likelihood T. Prior @CjBayesian

cython -a some_cython_code.pyx # generate an annotated html of the code generation. Clues into what might be slow. #scipy2015

2015-07-06 23:30:36
Erik Tollerud (@eteq@fosstodon.org) @eteq

.@CjBayesian Plus: you can do this in the @ProjectJupyter notebook Cython cell magic (``%%cython -a``). very efficient workflow #scipy2015

2015-07-06 23:34:37
Dan Chudnov @dchud

scikit-image plus ipython/jupyter notebook widgets == good times at #scipy2015 tutorial pic.twitter.com/k3lStEXm3L

2015-07-06 23:47:19
拡大
Erik Tollerud (@eteq@fosstodon.org) @eteq

From Kurt Smith at #scipy2015 Cython tutorial: there’s a new(ish?) tool that does SWIG-like wrapping but uses Cython github.com/xdress/xdress

2015-07-06 23:54:19
Julie Hollek | 한여울 @ #SciPy2023 @jkru

pre-processing is important and, again, look at your data to figure out the best methods for them! #scipy2015 #MachineLearning

2015-07-06 23:58:33
Kevin Beam @kwbeam

Image segmentation is pretty cool in SciKit Image #SciPy2015

2015-07-07 00:00:11
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