diff options
Diffstat (limited to 'INSTALL.rst.txt')
| -rw-r--r-- | INSTALL.rst.txt | 18 |
1 files changed, 9 insertions, 9 deletions
diff --git a/INSTALL.rst.txt b/INSTALL.rst.txt index 1c33060a6..5ee97d790 100644 --- a/INSTALL.rst.txt +++ b/INSTALL.rst.txt @@ -30,8 +30,8 @@ Building NumPy requires the following installed software: This is required for testing NumPy, but not for using it. -Python__ http://www.python.org -pytest__ http://pytest.readthedocs.io +Python__ https://www.python.org/ +pytest__ https://docs.pytest.org/en/stable/ Hypothesis__ https://hypothesis.readthedocs.io/en/latest/ @@ -39,12 +39,12 @@ Hypothesis__ https://hypothesis.readthedocs.io/en/latest/ If you want to build NumPy in order to work on NumPy itself, use ``runtests.py``. For more details, see - https://docs.scipy.org/doc/numpy/dev/development_environment.html + https://numpy.org/devdocs/dev/development_environment.html .. note:: - More extensive information on building NumPy (and SciPy) is maintained at - https://scipy.github.io/devdocs/building/ + More extensive information on building NumPy is maintained at + https://numpy.org/devdocs/user/building.html#building-from-source Basic Installation @@ -69,7 +69,7 @@ NPY_NUM_BUILD_JOBS. Choosing compilers ================== -NumPy needs a C compiler, and for development versions also Cython. A Fortran +NumPy needs a C compiler, and for development versions also needs Cython. A Fortran compiler isn't needed to build NumPy itself; the ``numpy.f2py`` tests will be skipped when running the test suite if no Fortran compiler is available. For building Scipy a Fortran compiler is needed though, so we include some details @@ -87,7 +87,7 @@ Windows ------- On Windows, building from source can be difficult (in particular if you need to -build SciPy as well, because that requires a Fortran compiler). Currently, the +build SciPy as well, because that requires a Fortran compiler). Currently, the most robust option is to use MSVC (for NumPy only). If you also need SciPy, you can either use MSVC + Intel Fortran or the Intel compiler suite. Intel itself maintains a good `application note @@ -151,7 +151,7 @@ Or by preloading a specific BLAS library with:: Build issues ============ -If you run into build issues and need help, the NumPy +If you run into build issues and need help, the NumPy and SciPy `mailing list <https://scipy.org/scipylib/mailing-lists.html>`_ is the best -place to ask. If the issue is clearly a bug in NumPy, please file an issue (or +place to ask. If the issue is clearly a bug in NumPy, please file an issue (or even better, a pull request) at https://github.com/numpy/numpy. |