Python in Scientific Computing - What Works and What Doesn't

Python in Scientific Computing - What Works and What Doesn't

Explore the strengths and limitations of Python libraries for scientific computing in this 38-minute EuroPython 2018 conference talk. Gain insights from Michele Simionato's experience at the Global Earthquake Model foundation, focusing on performance, simplicity, reliability, and portability. Learn about encountered library bugs and workarounds, and understand why certain libraries like Cython, Numba, Dask, and PyTables are not utilized. Benefit from practical knowledge to inform your choice of software stack for scientific calculations in Python.