summaryrefslogtreecommitdiff
path: root/INSTALL.rst.txt
diff options
context:
space:
mode:
authorPierre de Buyl <pdebuyl@pdebuyl.be>2016-09-06 14:54:08 +0200
committerPierre de Buyl <pdebuyl@pdebuyl.be>2016-09-06 14:54:08 +0200
commit3f6672a30cd06d273e0b2160084a9abadcf9c315 (patch)
treee5f283690c21b36dcb5d9d5a4e750dfa8d11efba /INSTALL.rst.txt
parent2a55233b81a6ea18a57d1dd4f7bc5fff9f2fb681 (diff)
downloadnumpy-3f6672a30cd06d273e0b2160084a9abadcf9c315.tar.gz
DOC: change Numpy to NumPy in remaining files
the files in doc/ and numpy/ were covered in previous commits
Diffstat (limited to 'INSTALL.rst.txt')
-rw-r--r--INSTALL.rst.txt22
1 files changed, 11 insertions, 11 deletions
diff --git a/INSTALL.rst.txt b/INSTALL.rst.txt
index f4e96fc1f..426105929 100644
--- a/INSTALL.rst.txt
+++ b/INSTALL.rst.txt
@@ -1,8 +1,8 @@
Building and installing NumPy
+++++++++++++++++++++++++++++
-**IMPORTANT**: the below notes are about building Numpy, which for most users
-is *not* the recommended way to install Numpy. Instead, use either a complete
+**IMPORTANT**: the below notes are about building NumPy, which for most users
+is *not* the recommended way to install NumPy. Instead, use either a complete
scientific Python distribution (recommended) or a binary installer - see
http://scipy.org/install.html.
@@ -39,13 +39,13 @@ nose__ http://somethingaboutorange.com/mrl/projects/nose/
.. note::
- If you want to build Numpy in order to work on Numpy itself, use
+ If you want to build NumPy in order to work on NumPy itself, use
``runtests.py``. For more details, see
http://docs.scipy.org/doc/numpy-dev/dev/development_environment.html
.. note::
- More extensive information on building Numpy (and Scipy) is maintained at
+ More extensive information on building NumPy (and Scipy) is maintained at
http://scipy.org/scipylib/building/index.html
@@ -68,8 +68,8 @@ NPY_NUM_BUILD_JOBS.
Choosing compilers
==================
-Numpy needs a C compiler, and for development versions also Cython. A Fortran
-compiler isn't needed to build Numpy itself; the ``numpy.f2py`` tests will be
+NumPy needs a C compiler, and for development versions also 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
on Fortran compilers in the rest of this section.
@@ -91,7 +91,7 @@ good `application note <https://software.intel.com/en-us/articles/numpyscipy-wit
on this.
If you want to use a free compiler toolchain, the recommended compiler is MingwPy__.
-The older MinGW32 compiler set used to produce older .exe installers for Numpy
+The older MinGW32 compiler set used to produce older .exe installers for NumPy
itself is still available at https://github.com/numpy/numpy-vendor, but not
recommended for use anymore.
@@ -103,7 +103,7 @@ Building with optimized BLAS support
Configuring which BLAS/LAPACK is used if you have multiple libraries installed,
or you have only one installed but in a non-standard location, is done via a
-``site.cfg`` file. See the ``site.cfg.example`` shipped with Numpy for more
+``site.cfg`` file. See the ``site.cfg.example`` shipped with NumPy for more
details.
Windows
@@ -117,7 +117,7 @@ For an overview of the state of BLAS/LAPACK libraries on Windows, see
OS X
----
-OS X ships the Accelerate framework, which Numpy can build against without any
+OS X ships the Accelerate framework, which NumPy can build against without any
manual configuration. Other BLAS/LAPACK implementations (OpenBLAS, Intel MKL,
ATLAS) will also work.
@@ -149,7 +149,7 @@ 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
`mailing list <http://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.