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Update link to f2py in faq.md #605

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4 changes: 2 additions & 2 deletions content/en/faq.md
Original file line number Diff line number Diff line change
Expand Up @@ -36,7 +36,7 @@ algorithms and would take years to debug them. SciPy uses a variety of
methods to generate \"wrappers\" around these algorithms so that they
can be used in Python. Some wrappers were generated by hand coding them
in C. The rest were generated using either SWIG or
[f2py](https://www.f2py.com). Some of the newer contributions to SciPy
[f2py](https://numpy.org/doc/stable/f2py/index.html). Some of the newer contributions to SciPy
are either written entirely or wrapped with
[Cython](https://cython.org/) or [Pythran](https://pythran.readthedocs.io).

Expand Down Expand Up @@ -104,7 +104,7 @@ range of high-quality 3D visualization features, utilizing the powerful

`scipy.linalg` is a more complete wrapping
of Fortran [LAPACK](https://www.netlib.org/lapack/) using
[f2py](https://www.f2py.com).
[f2py](https://numpy.org/doc/stable/f2py/index.html).

One of the design goals of NumPy was to make it buildable without a
Fortran compiler, and if you don\'t have LAPACK available, NumPy will
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