- Dealing with undesired sensor peaks in micropython https://docs.scipy.org/doc/scipy/reference/generated/scipy.signal.find_peaks.html 14 comments raspberry_pi
- [Q] How do I calculate the number of samples needed when using pearsonr correlation? https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.pearsonr.html 3 comments statistics
- [Q] Are high absolute value (0.8 and above) Pearson Correlation coefficients harder to produce randomly than low absolute value Pearson correlation coefficients (0.2 and above)? https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.pearsonr.html 9 comments statistics
- Running medians of video frames are great at eliminating noise. Can they be done super fast? https://docs.scipy.org/doc/scipy/reference/generated/scipy.ndimage.median_filter.html 6 comments learnprogramming
- How to operate on every matrix in an array of matrices? https://docs.scipy.org/doc/numpy/reference/generated/numpy.linalg.inv.html 4 comments matlab
- [Python/C] How do I optimize a function with many free parameters, if the space is too large to be sampled at constant intervals? https://docs.scipy.org/doc/scipy/reference/optimize.html 11 comments learnprogramming
- Numpy's greatest feature: broadcasting. It is more addictive than uncut coke. It allows easy handling of lots of data in a scalable way. Every matrix-supporting language should have this. http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html 6 comments programming