more preparations

3d031f11 · Martin Reinecke · 5c02272f · 3d031f11 · 3d031f11
Commit 3d031f11 authored Jan 31, 2019 by Martin Reinecke
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README.md README.md +6 -7

docs/source/installation.rst docs/source/installation.rst +2 -3

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--- a/README.md
+++ b/README.md
 NIFTy - Numerical Information Field Theory
 ==========================================
-[![build status](https://gitlab.mpcdf.mpg.de/ift/nifty-dev/badges/NIFTy_5/build.svg)](https://gitlab.mpcdf.mpg.de/ift/nifty-dev/commits/NIFTy_5)
-[![coverage report](https://gitlab.mpcdf.mpg.de/ift/nifty-dev/badges/NIFTy_5/coverage.svg)](https://gitlab.mpcdf.mpg.de/ift/nifty-dev/commits/NIFTy_5)
+[![build status](https://gitlab.mpcdf.mpg.de/ift/NIFTy/badges/NIFTy_5/build.svg)](https://gitlab.mpcdf.mpg.de/ift/NIFTy/commits/NIFTy_5)
+[![coverage report](https://gitlab.mpcdf.mpg.de/ift/NIFTy/badges/NIFTy_5/coverage.svg)](https://gitlab.mpcdf.mpg.de/ift/NIFTy/commits/NIFTy_5)

 **NIFTy** project homepage:
 [http://ift.pages.mpcdf.de/NIFTy](http://ift.pages.mpcdf.de/NIFTy)
@@ -66,15 +66,15 @@ NIFTy5 and its mandatory dependencies can be installed via:

 Plotting support is added via:

-    pip3 install --user matplotlib
+    sudo apt-get install python3-matplotlib

 NIFTy uses Numpy's FFT implementation by default. For large problems FFTW may be
-used because of its higher performance. It can be installed via::
+used because of its higher performance. It can be installed via:

    sudo apt-get install libfftw3-dev
    pip3 install --user pyfftw

-To enable FFTW usage in NIFTy, call::
+To enable FFTW usage in NIFTy, call

    nifty5.fft.enable_fftw()

@@ -91,8 +91,7 @@ Support for spherical harmonic transforms is added via:

 MPI support is added via:

-    sudo apt-get install openmpi-bin libopenmpi-dev
-    pip3 install --user mpi4py
+    sudo apt-get install python3-mpi4py

 ### Running the tests


--- a/docs/source/installation.rst
+++ b/docs/source/installation.rst
@@ -12,7 +12,7 @@ NIFTy5 and its mandatory dependencies can be installed via::

 Plotting support is added via::

-    pip3 install --user matplotlib
+    sudo apt-get install python3-matplotlib

 NIFTy uses Numpy's FFT implementation by default. For large problems FFTW may be
 used because of its higher performance. It can be installed via::
@@ -37,5 +37,4 @@ Support for spherical harmonic transforms is added via::

 MPI support is added via::

-    sudo apt-get install openmpi-bin libopenmpi-dev
-    pip3 install --user mpi4py
+    sudo apt-get install python3-mpi4py