Does Python SciPy need BLAS?

by

If you need to use the latest versions of SciPy rather than the packaged version, without going through the hassle of building BLAS and LAPACK, you can follow the below procedure.

Install linear algebra libraries from repository (for Ubuntu),

sudo apt-get install gfortran libopenblas-dev liblapack-dev

Then install SciPy, (after downloading the SciPy source): python setup.py install or

pip install scipy

As the case may be.

More Related Contents:

  1. Computing the correlation coefficient between two multi-dimensional arrays
  2. scipy.misc module has no attribute imread?
  3. How does condensed distance matrix work? (pdist)
  4. Compute a confidence interval from sample data
  5. Import Error: No module named numpy
  6. calling dot products and linear algebra operations in Cython?
  7. How can I perform two-dimensional interpolation using scipy?
  8. In Scipy how and why does curve_fit calculate the covariance of the parameter estimates
  9. Does `anaconda` create a separate PYTHONPATH variable for each new environment?
  10. ImportError: cannot import name NUMPY_MKL
  11. Python curve_fit with multiple independent variables
  12. How to add a new row to an empty numpy array
  13. Interpolation over an irregular grid
  14. How do I put a constraint on SciPy curve fit?
  15. SciPy Create 2D Polygon Mask
  16. Creating lowpass filter in SciPy – understanding methods and units
  17. How to calculate the inverse of the normal cumulative distribution function in python?
  18. How can I efficiently process a numpy array in blocks similar to Matlab’s blkproc (blockproc) function
  19. scipy.curve_fit() returns multiple lines
  20. How to calculate cumulative normal distribution?
  21. How do I plot list of tuples in Python?
  22. Concatenate sparse matrices in Python using SciPy/Numpy
  23. How to display progress of scipy.optimize function?
  24. Fitting a Weibull distribution using Scipy
  25. How to do a polynomial fit with fixed points
  26. Trouble installing SciPy on windows
  27. How to smooth a curve for a dataset
  28. How to transform numpy.matrix or array to scipy sparse matrix
  29. sparse 3d matrix/array in Python?
  30. ValueError: Dimension mismatch

Leave a Comment