Writing Faster Applications with Python
Wednesday, August 27, 2014
Presented by: Gabriele Lanaro
Duration: Approximately 60 minutes.
Thanks to the growth of the Python scientific community, Python now has access to a fast and reliable set of high-performance libraries. This, combined with the elegance and power of the language, makes Python an irresistible choice for performance-critical applications.
In this webcast you will:
About Gabriele Lanaro
Gabriele Lanaro is a PhD candidate at the University of British Columbia, in the field of molecular simulation. He writes high-performance Python code to analyze chemical systems in large-scale simulations. He created Chemlab — a high performance visualization software in Python—and emacs-for-python—a collection of Emacs extensions that facilitate working with Python code in the Emacs text editor.
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