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#[SciPy](http://lanyrd.com/2013/scipy/) [2013](http://eventifier.co/event/scipy2013/) ##Austin Texas ##The Good, the Bad, and the Ugly
The good:
¶
It's gotten
bigger
: 350 attendees
Meeting the developers
Tutorial days
Reproducibile Science stream
Bioinformatics stream
Receptions
Sprints
Meeting the developers:
¶
Authors of
NumPy
: David Cournapeau, Travis Oliphant, Stefan Van der Walt
IPython
: Brian Granger, Fernando Perez, Paul Ivanov
Matplotlib
: Benjamin Root, Michael Droettboom
Pandas
: Wes McKinney
Staff of
Continuum
(Anaconda)
Enthought
(Canopy)
Kitware
(VTK, Paraview),
and many others ...
Tutorials:
¶
Data processing with Python
NumPy, Pandas, SciKit-Learn, PCA, Disco (MapReduce)
IPython in depth
New features, including the Notebook and Ipython parallel
Diving into NumPy code
The C code that implements NumPy
Statistical Data Analysis in Python
Pandas, Matplotlib, probability distributions
The Reproducibile Science stream:
¶
Literate programming
lpEdit
-
a literate programming editor
PythonTex
--
awesome integration of Python into TeX documents
Reproducible workflow, audit trails
A reproducible workflow
-
an efficient workflow for reproducible science
Dexy
-
a Make tool for scientific papers
IPython Notebook and IPython Cluster
-
for atomistic simulations
Sumatra
-
a tool to log simulations and analyses
Integrated development
Spyder
-
a scientific IDE
Replicating software environments
lmona.de
-
a lightweight meta-distribution
SIDUS
-
a tool to distribute virtual machines
The bad:
¶
Tutorials needed specific software versions that I did not have installed in time.
The ugly:
¶
Austin was/is very hot
Controversy at the Capitol