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Update link to f2py in faq.md (#605)
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content/en/faq.md

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@@ -36,7 +36,7 @@ algorithms and would take years to debug them. SciPy uses a variety of
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methods to generate \"wrappers\" around these algorithms so that they
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can be used in Python. Some wrappers were generated by hand coding them
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in C. The rest were generated using either SWIG or
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[f2py](https://www.f2py.com). Some of the newer contributions to SciPy
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[f2py](https://numpy.org/doc/stable/f2py/index.html). Some of the newer contributions to SciPy
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are either written entirely or wrapped with
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[Cython](https://cython.org/) or [Pythran](https://pythran.readthedocs.io).
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@@ -104,7 +104,7 @@ range of high-quality 3D visualization features, utilizing the powerful
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`scipy.linalg` is a more complete wrapping
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of Fortran [LAPACK](https://www.netlib.org/lapack/) using
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[f2py](https://www.f2py.com).
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[f2py](https://numpy.org/doc/stable/f2py/index.html).
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One of the design goals of NumPy was to make it buildable without a
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Fortran compiler, and if you don\'t have LAPACK available, NumPy will

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