requirements.txt with conda in root directory

README.md

@@ -169,7 +169,7 @@ Please tell us before the training if it does not work.
 #### Install few packages in your base conda environment
 
 ```
-conda install ipython spyder jupyter numpy scipy pandas matplotlib
+conda install --file requirements.txt
 ```
 
 #### Check your environment

pyfiles/dtw_cort_dist/README.md

 
 ## Timing:
 
-We use [invoke](https://www.pyinvoke.org/) (`pip install invoke`) to build and run the benchmarks. The full requirements can be installed with `pip install -r requirements.txt`.
+We use [invoke](https://www.pyinvoke.org/) to build and run the benchmarks.
 
 See [how to get autocompletion with invoke](http://docs.pyinvoke.org/en/1.2/invoke.html?highlight=completion#cmdoption-print-completion-script).
 

pyfiles/dtw_cort_dist/requirements.txt

-astunparse==1.6.2
-beniget==0.1.0
-cffi==1.12.3
-Cython==0.29.10
-decorator==4.4.0
-docutils-stubs==0.0.10
--e git+https://gricad-gitlab.univ-grenoble-alpes.fr/python-uga/training-hpc.git@fa9d7e7c22b54d54cd17890c58f01821e9b3d321#egg=dtw_cort_dist_mat&subdirectory=pyfiles/dtw_cort_dist/V2_c_dtw
-gast==0.2.2
-invoke==1.2.0
-llvmlite==0.29.0
-mpi4py==3.0.1
-networkx==2.3
-numba==0.44.0
-numpy==1.16.4
-parsimonious==0.7.0
-pkg-resources==0.0.0
-ply==3.11
-pycparser==2.19
-pythran==0.9.2
-six==1.12.0
-transonic==0.2.2

requirements.txt

+# to be used with:
+# conda install --file requirements.txt
+# utilities
+ipython
+spyder
+jupyter
+invoke
+# base numerics
+numpy
+scipy
+matplotlib
+pandas
+h5py
+# wrapper
+cffi
+# accelerators
+cython
+numba
+pythran
+transonic
+# parallel
+mpi4py
+dask
+joblib
\ No newline at end of file