Added new Julia datascience notebook with some standard datascience-related packages

Makefile

@@ -2,8 +2,7 @@
 .PHONY: installcheck uninstallcheck test test-all push push-all
 
 OWNER:=ucphhpc
-TAG:=dev
-JUPYTERLAB_VERSION:=4.0.12
+TAG:=latest
 PACKAGE_TIMEOUT:=600
 ALL_IMAGES:=base-notebook python-notebook statistics-notebook r-notebook slurm-notebook python-cuda-notebook gpu-notebook datascience-notebook chemistry-notebook fenics-notebook qsharp-notebook hpc-notebook hpc-ocean-notebook hpc-gpu-notebook ocean-notebook geo-notebook bio-notebook bio-bigdata-notebook bio-bsa-notebook sme-notebook jwst-notebook julia-notebook cern-notebook 
 
@@ -18,7 +17,7 @@ help:
 	@grep -E '^[a-zA-Z_-]+:.*?## .*$$' $(MAKEFILE_LIST) | sort | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[36m%-30s\033[0m %s\n", $$1, $$2}'
 
 init:
-	. $(VENV)/activate; python3 init-notebooks.py --branch dev --tag $(TAG) --jupyterlab-version $(JUPYTERLAB_VERSION)
+	. $(VENV)/activate; python3 init-notebooks.py --branch master --tag $(TAG)
 
 clean:
 	rm -fr .env

README.rst

@@ -13,11 +13,17 @@ Getting Started
 Before any of the images can be built, the Dockerfiles for each Notebook has to be generated first.
 The reason for this is that by default each notebook defined by a `Jinja2 <https://jinja2docs.readthedocs.io/en/stable/>`__ template.
 
-To ensure that the nessesary libraries are installed to generate the Notebooks, we recommend that you create a virtual environment
+This entire process can also be simplified by simply executing ``make`` in the root directory, which will create an initial Python virtual environment and use the current `architecture.yml` file setup to generate the Dockerfiles and the associated GOCD configuration::
+
+	make
+
+Alternatively, you can also setup the environment manually with the following steps.
+
+To start with, you should ensure that the nessesary libraries are installed to generate the Notebooks, we recommend that you create a virtual environment
 and install the associated requiremnets::
 
 	username@hostname:~/jupyter/nbi-jupyter-docker-stacks$ python3 -m virtualenv venv
-	username@hostname:~/jupyter/nbi-jupyter-docker-stacks$ source venv
+	username@hostname:~/jupyter/nbi-jupyter-docker-stacks$ source venv/bin/activate
 	(venv) username@hostname:~/jupyter/nbi-jupyter-docker-stacks$ pip install -r requirements.txt
 
 Afterwards, you should now be able to use the ``init-notebooks.py`` script to generate template and render the Jinja2 template files::
@@ -44,10 +50,6 @@ pipelines as part of the UCPH CI/CD infrastructure.
 
 The Notebooks and the associated GOCD configuration file are generated based on the definitions specified in the ``architecture.yml`` file.
 
-This entire process can also be simplified by simply executing ``make`` in the root directory, which will create an initial Python virtual environment and use the current `architecture.yml` file setup to generate the Dockerfiles and the associated GOCD configuration::
-
-	make
-
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 Building
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