Jérôme Richard questions

Jérôme Richard answers

• Optimized binary matrix inverse
• How OpenMP macros work behind the scenes in collaboration with the preprocessor/compiler and the library itself?
• Efficient computation of entropy-like formula (sum(xlogx)) in Python
• Speed-up a variable-dependent matrix inverse computation in Python
• Performance optimization and parallelization in Python
• Why is `array % 1` running 150% slower for smaller numbers than larger ones?
• The most efficient way rather than using np.setdiff1d and np.in1d, to remove common values of 1D arrays with unique values
• Is there a better way to remove parts with consecutive zeros that have length equal or above threshold?
• How come the performance of numpy.linalg.solve has changed drastically between versions 1.26.4 and 2.0.0?
• Shifting minimum values using Python