Description:

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:

• Learn the best tips and tricks to get the most out of the NumPy library
• Upgrade your applications' performances by using parallel processing

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.