Ra standard py311

Programming/anaconda/2019.07/conda-env-defs/jupyterhub-4.0.2_lab3_py3.11/README.md

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+Installation done on pmod7
+
+```
+conda env create -f jupyterhub-4.0.2_lab3_py3.11 
+
+conda activatejupyterhub-4.0.2_lab3_py3.11
+```
+
+The current production versions of the spawners (e.g. batchspawner-1.0.0) are
+not compatible with jupyterhub-1.0.0. So, one is forced to deploy the
+development versions. This is coded in the yaml file as pip dependency, 
+pointing to the latest commit available
+
+Also, jupyterlab 4 and jupyter-server 2.11 are not yet supported

Programming/anaconda/2019.07/conda-env-defs/jupyterhub-4.0.2_lab3_py3.11/jupyterhub-4.0.2_lab3_py3.11.yml

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+name: jupyterhub-4.0.2_lab3_py3.11
+channels:
+  - conda-forge
+dependencies:
+  - jupyterhub=4.0.2
+  - jupyterlab=3.6.3
+  - nb_conda
+  - nb_conda_kernels
+  - jupyter_contrib_nbextensions
+  - ipywidgets=7.6.3
+  - pip
+  - jupytext
+  - python=3.11.6
+  - jupyterlab-git
+  - git
+  - psycopg2
+  - jupyter_server<2.11
+#  - sqlalchemy=1.4.39
+  - pip:
+    - git+https://github.com/jupyterhub/batchspawner.git@e89bf6a

Programming/anaconda/2019.07/conda-env-defs/ra-standard_py311/README.md

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+Standard Ra environment based on python 3.11. It includes:
+  - pandas
+  - numpy
+  - scipy
+  - scikit-learn
+  - matplotlib
+  - seaborn
+  - tensorflow
+  - pytables
+  - ipython
+  - keras
+  - ipywidgets
+  - plotly
+  - python-graphviz
+  - statsmodels
+  - scikit-image
+  - numba
+  - hdf5
+  - h5py
+  - dask
+  - dask-jobqueue
+  - ipympl   # needed for jupyterlab interactive plotting
+  - toml
+  - tabulate
+  - click
+  - conda-forge::jupyter-resource-usage
+  - conda-forge::julia
+

Programming/anaconda/2019.07/conda-env-defs/ra-standard_py311/ra-standard_py311.yml

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+# Clean environment based on pure conda-forge packages
+name: ra-standard_py311
+#channels:
+#  - conda-forge
+dependencies:
+  - python=3.11
+  - pandas
+  - xlrd
+  - numpy
+  - scipy
+  - scikit-learn
+  - matplotlib
+  - seaborn
+  - tensorflow
+  - pytables
+  - ipython
+  - keras
+  - nb_conda_kernels
+  - ipywidgets
+  - plotly
+  - python-graphviz
+  - statsmodels
+  - scikit-image
+  - numba
+  - hdf5
+  - h5py
+  - dask
+  - dask-jobqueue
+  - ipympl   # needed for jupyterlab interactive plotting
+  - toml
+  - tabulate
+  - click
+  - conda-forge::jupyter-resource-usage
+  - conda-forge::julia
+  #- paulscherrerinstitute::bitshuffle
+  - paulscherrerinstitute::scicat_client
+  #- paulscherrerinstitute::jungfrau_utils

Programming/anaconda/2019.07/conda-env-defs/ra-standard_py36/README.md

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+**THIS IS A TEST**

Programming/anaconda/2019.07/conda-env-defs/ra-standard_py36/ra-standard_py36.yml

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+# Clean environment based on pure conda-forge packages
+name: ra-standard_py36
+#channels:
+#  - conda-forge
+dependencies:
+  - python=3.6
+  - pandas
+  - xlrd
+  - numpy
+  - scipy
+  - scikit-learn
+  - matplotlib
+  - seaborn
+  - tensorflow
+  - pytables
+  - ipython
+  - keras
+  - nb_conda_kernels
+  - ipywidgets
+  - plotly
+  - python-graphviz
+  - statsmodels
+  - scikit-image
+  - numba
+  - hdf5
+  - h5py
+  - dask
+  - dask-jobqueue
+  - paulscherrerinstitute::bitshuffle