Web Reference: This talk will discuss various strategies to make a serial Python code faster, for example using libraries like NumPy, or tools like Cython which compile Python code. You'll learn to use the power of NumPy, SciPy, and Cython to speed up computation. Then you will get to grips with optimizing critical parts of the kernel using various tools. You will also learn how to optimize your programmer using Numba. This course gives an overview over some tools and libraries for fast computations in Python. It covers the most common tools and helps to get you started on HPC with Python
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