Advanced NumPy Techniques
NumPy is a powerful library that enables scientists to quickly build high-performance data analysis applications. This talk will cover various advanced features available in the NumPy and SciPy linear algebra APIs that will help you write more readable and efficient code, faster. Array representation, indexing, aliasing, sparse matrices, Einstein summation, and, if time permits, third-party library interoperability will be among topics covered.
Vladimir Feinberg is an undergraduate senior from the Computer Science department. Next fall, he will be attending UC Berkeley for graduate school for a PhD program in Computer Science as well.
Location: Room 347, Visualization Lab
Date/Time: 05/17/17 at 4:00 pm - 05/17/17 at 5:00 pm
Category: PrincetonPy Group Talks