Princeton Institute for Computational Science and Engineering (PICSciE) Performance Tuning Mini-Course

ADDED - The course will discuss fundamentals of performance tuning for Python applications. This will include learning how to use tools like Numpy, Cython, Tensorflow, Numba as well as techniques like using generators and sorting keys, interfacing Python with compiled code with Ctypes and SWIG, parallelization with Multiprocessing and Joblib libraries.