Remove GPU code and add pointers to dedicated repository

Author: gjbex

README.md

@@ -4,6 +4,9 @@ GitHub repository for participants of the "Python for HPC" training.
 For information on the training, see the website
 [https://gjbex.github.io/Python-for-HPC/](https://gjbex.github.io/Python-for-HPC/)
 
+Note that material for a training on using GPUs in Python is in
+[another repository](https://github.com/gjbex/Python-on-GPUs).
+
 
 ## What is it?
 

source-code/README.md

@@ -10,6 +10,7 @@ to create it.  There is some material not covered in the presentation as well.
 * Packages (names listed taht can be used with `pip` or `conda` to install):
   * cython
   * dask
+  * numba
   * numpy
   * numexpr
   * scipy
@@ -19,10 +20,6 @@ to create it.  There is some material not covered in the presentation as well.
   * jupyter
   * ipywidgets
 
-* For the GPU code:
-  * pycuda
-  * scikit-cuda
-
 
 ## What is it?
 
@@ -43,5 +40,7 @@ to create it.  There is some material not covered in the presentation as well.
 1. `numpy-scipy`: some numpy/scipy codes for benchmakring.
 1. `pypy`: code to experiment with the Pypy interpreter.
 1. `file-formats`: influcence of file formats on performance.
-1. `gpu`: some examples of using GPUs.
 1. `performance`: general considerations about performance.
+
+**Note:** the GPU code in this repository was moved to
+[its own repository](https://github.com/gjbex/Python-on-GPUs)