Introduction of Python Tools For Coding And Feature Learning Scipy 2013 Presentation
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An efficient workflow for reproducible science; SciPy 2013 Presentation
The advantages of a scientific IDE; SciPy 2013 Presentation
Skdata: Data sets and algorithm evaluation protocols in Python; SciPy 2013 Presentation
Python and the SKA; SciPy 2013 Presentation
Julia and Python: a dynamic duo for scientific computing; SciPy 2013 Presentation
Opening Up Astronomy with Python and AstroML; SciPy 2013 Presentation
High Performance Reproducible Computing; SciPy 2013 Presentation
Why you should write buggy software with as few features as possible; SciPy 2013 Presentation
metaseq: a Python framework for integrating sequencing analyses; SciPy 2013 Presentation
DMTCP: Bringing Checkpoint-Restart to Python; SciPy 2013 Presentation
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Last Updated: August 21, 2026
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