Table 2 Summary of SciPy Roadmap items following 1.0 release
From: SciPy 1.0: fundamental algorithms for scientific computing in Python
SciPy subpackage | Summary of change |
|---|---|
optimize | A few more high-quality global optimizers |
fftpack | Reduce overlap with NumPy equivalent |
linalg | Reduce overlap with NumPy equivalent |
interpolate | New spline fitting and arithmetic routines |
interpolate | New transparent tensor-product splines |
interpolate | New non-uniform rational B-splines |
interpolate | Mesh refinement and coarsening of B-splines and tensor products |
signal | Migrate spline functionality to interpolate |
signal | Second order sections update to match capabilities in other routines |
linalg | Support a more recent version of LAPACK |
ndimage | Clarify usage of the ‘data point’ coordinate model, and add additional wrapping modes |
sparse | Incorporate sparse arrays from Sparse package118 |
sparse.linalg | Add PROPACK wrappers for faster SVD |
spatial | Add support for (quaternion) rotation matrices |
special | Precision improvements for hypergeometric, parabolic cylinder and spheroidal wave functions |
