diff --git a/day2/3-hpc-environment/1-hpc-environment.ipynb b/day2/3-hpc-environment/1-hpc-environment.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..9de9ff92a2ab4cab997fe1c689bbffb821676dd1
--- /dev/null
+++ b/day2/3-hpc-environment/1-hpc-environment.ipynb
@@ -0,0 +1,175 @@
+{
+ "cells": [
+  {
+   "attachments": {
+    "67258d94-84e6-4a0c-ae8f-c74332ec082e.jpg": {
+     "image/jpeg": "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"
+    }
+   },
+   "cell_type": "markdown",
+   "id": "relevant-coverage",
+   "metadata": {
+    "toc-hr-collapsed": false
+   },
+   "source": [
+    "![jsc-logo.jpg](attachment:67258d94-84e6-4a0c-ae8f-c74332ec082e.jpg)\n",
+    "Author: [Jens Henrik Göbbert](mailto:j.goebbert@fz-juelich.de)\n",
+    "------------------------------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "greatest-cannon",
+   "metadata": {},
+   "source": [
+    "### Exploring the HPC environment\n",
+    "\n",
+    "---------------------------------------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "everyday-cannon",
+   "metadata": {},
+   "source": [
+    "#### Exercise 1: Terminal\n",
+    "1. Open the JupyterLab Terminal\n",
+    "    - `A=10`\n",
+    "    - CLose it and check the \"Running Panel\" -> Terminal keeps running\n",
+    "    - Click on \"terminal/1\" and `echo $A`"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "czech-vienna",
+   "metadata": {},
+   "source": [
+    "#### Exercise 2:\n",
+    "Use a terminal to check some files\n",
+    "1. `echo $JUPYTER_LOG_DIR`\n",
+    "2. `cd $JUPYTER_LOG_DIR`\n",
+    "3. `vim stderr`\n",
+    "    - explore file\n",
+    "4. `vim .start`\n",
+    "    - explore file"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "chubby-photography",
+   "metadata": {},
+   "source": [
+    "#### Exercise 3:\n",
+    "**ONLY FOR HDF-CLOUD**  \n",
+    "**!!DANGEROUS!! YOU ARE MOUNTING WRITEABLE**  \n",
+    "Mount the $HOMEs from GPFS on the HDF Cloud"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "other-gilbert",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pyunicore.client as unicore_client\n",
+    "import json, os"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "turkish-ozone",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "_auth = \"https://uftp.fz-juelich.de:9112/UFTP_Auth/rest/auth/\"\n",
+    "_tr = unicore_client.Transport(os.getenv(\"UNITYJSCACCESSTOKEN\"))\n",
+    "\n",
+    "# check access\n",
+    "_info = _tr.get(url=_auth)\n",
+    "_uid = _info[\"JUDAC\"]['uid']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "sapphire-reduction",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "remote_base_dir = \"/p/home/jusers/%s\" % _uid # $HOME"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "italian-accuracy",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# auhenticate\n",
+    "_req = {\"persistent\": \"true\", \"serverPath\": \"%s/___UFTP___MULTI___FILE___SESSION___MODE___\" % remote_base_dir}\n",
+    "_reply = _tr.post(url = _auth+\"/JUDAC\", json=_req).json()\n",
+    "uftp_pwd = _reply['secret']\n",
+    "uftp_host = _reply['serverHost']\n",
+    "uftp_port = _reply['serverPort']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "beginning-sensitivity",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# mount\n",
+    "!mkdir -p uftp-mount\n",
+    "!curlftpfs -v -s -o ftp_method=singlecwd,enable_epsv,big_writes,ipv4,user=anonymous:$uftp_pwd $uftp_host:$uftp_port uftp-mount"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "coated-packaging",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# ...\n",
+    "!ls -l uftp-mount"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "accredited-jersey",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# unmount\n",
+    "!fusermount -u uftp-mount"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/day2/4-build-your-kernel/Create_JupyterKernel_conda.ipynb b/day2/4-build-your-kernel/Create_JupyterKernel_conda.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..44860543c2f3bbcfff8a1a8b0e89d8296a4ae9b8
--- /dev/null
+++ b/day2/4-build-your-kernel/Create_JupyterKernel_conda.ipynb
@@ -0,0 +1,319 @@
+{
+ "cells": [
+  {
+   "attachments": {
+    "500ad0ee-8923-43bb-9336-e838a26dc2f1.jpg": {
+     "image/jpeg": "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"
+    }
+   },
+   "cell_type": "markdown",
+   "metadata": {
+    "toc-hr-collapsed": false
+   },
+   "source": [
+    "![jsc-logo.jpg](attachment:500ad0ee-8923-43bb-9336-e838a26dc2f1.jpg) \n",
+    "Author: [Sebastian Lührs](mailto:s.luehrs@fz-juelich.de)\n",
+    "--------------------------------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Create your own Jupyter CONDA-Kernel\n",
+    "\n",
+    "Often the standard kernel do not provide all features you need for your work. This might be that certain modules are not loaded or packages are not installed.\n",
+    "With your own kernel you can overcome that problem easily and define your own environment, in which you work.\n",
+    "\n",
+    "This notebook shows you how you can build your own kernel for a **conda environment**.\n",
+    "\n",
+    "--------------------------------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Building your own Jupyter CONDA-kernel is a three step process\n",
+    "Download Minconda installer\n",
+    "1. Download/Install Miniconda\n",
+    "   * Miniconda3.sh\n",
+    "2. Create Conda Environment\n",
+    "   * conda create\n",
+    "2. Create/Edit launch script for the Jupyter kernel\n",
+    "   * kernel.sh\n",
+    "3. Create/Edit Jupyter kernel configuration\n",
+    "   * kernel.json"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Settings"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Selectable **CONDA_TARGET_DIR** path for the central conda installation, should be in the project filesystem"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "export CONDA_TARGET_DIR=${HOME}/PROJECT_training2005/testdir/miniconda3"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Selectable **CONDA_ENV** name, will be used to specify the environment name\n",
+    "  - must be lowercase"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "CONDA_ENV=my_env\n",
+    "\n",
+    "export CONDA_ENV=$(echo \"${CONDA_ENV}\" | awk '{print tolower($0)}')\n",
+    "echo ${KERNEL_NAME} # double check"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "## 1. Download/Install Miniconda"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Start here if you want to run the full installation.\n",
+    "If you want to create another environment in an existing conda setup go to **create environment**. If you want to attach yourself to an existing environment go to **create user kernel**."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* 1.1 - Download Minconda installer"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "wget --output-document=$HOME/Miniconda3.sh https://repo.continuum.io/miniconda/Miniconda3-latest-Linux-x86_64.sh"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* 1.2 - Create target directory"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mkdir -p ${CONDA_TARGET_DIR}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* 1.3 - Install Miniconda"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bash $HOME/Miniconda3.sh -b -u -p ${CONDA_TARGET_DIR}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "${CONDA_TARGET_DIR}/bin/conda init bash"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* 1.4 - Disable automatic activation"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "${CONDA_TARGET_DIR}/bin/conda config --set auto_activate_base false"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "## 2. Create conda environment"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Create new conda environment. The following steps can be repeated if multiple environments should be created. If the Python version differ towards the external Python version, a mix of Conda modules and external modules will not be possible"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "${CONDA_TARGET_DIR}/bin/conda create -n ${CONDA_ENV} -y python=3.6.8 ipykernel"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "## 3. Create/Edit launch script for the Jupyter kernel"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* 3.1 - Create kernel to allow access to the conda environment. Adapte `module purge` and `PYTHONPATH` according to the comments."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "echo '#!/bin/bash\n",
+    "\n",
+    "# module purge # optional to disable the external environment, necessary, if python version is different\n",
+    " \n",
+    "# Activate your Python virtual environment\n",
+    "source '\"${CONDA_TARGET_DIR}\"'/bin/activate '\"${CONDA_ENV}\"'\n",
+    "    \n",
+    "# Ensure python packages installed in conda are always prefered, not necessary if module purge is used\n",
+    "export PYTHONPATH=${CONDA_PREFIX}/lib/python3.6/site-packages:${PYTHONPATH}\n",
+    "    \n",
+    "exec python -m ipykernel $@' > ${CONDA_TARGET_DIR}/envs/${CONDA_ENV}/kernel.sh"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chmod +x ${CONDA_TARGET_DIR}/envs/${CONDA_ENV}/kernel.sh"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---\n",
+    "## 4. Create/Edit Jupyter kernel configuration"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* 4.1 - Create user kernel, if you want to access the conda environment of a colleague, only these steps are necessary"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mkdir -p $HOME/.local/share/jupyter/kernels/conda_${CONDA_ENV}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* 4.2 - Adjust kernel.json file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "echo '{\n",
+    " \"argv\": [\n",
+    "  \"'\"${CONDA_TARGET_DIR}\"'/envs/'\"${CONDA_ENV}\"'/kernel.sh\",\n",
+    "  \"-f\",\n",
+    "  \"{connection_file}\"\n",
+    " ],\n",
+    " \"display_name\": \"conda_'\"${CONDA_ENV}\"'\",\n",
+    " \"language\": \"python\"\n",
+    "}' > $HOME/.local/share/jupyter/kernels/conda_${CONDA_ENV}/kernel.json"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Restart of JupyterLab might be necessary to see the kernel in the kernel selection overview."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Bash",
+   "language": "bash",
+   "name": "bash"
+  },
+  "language_info": {
+   "codemirror_mode": "shell",
+   "file_extension": ".sh",
+   "mimetype": "text/x-sh",
+   "name": "bash"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/day2/4-build-your-kernel/Create_JupyterKernel_general.ipynb b/day2/4-build-your-kernel/Create_JupyterKernel_general.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..206580d4066612fd2bbb5bb30324e664cade3072
--- /dev/null
+++ b/day2/4-build-your-kernel/Create_JupyterKernel_general.ipynb
@@ -0,0 +1,458 @@
+{
+ "cells": [
+  {
+   "attachments": {
+    "67258d94-84e6-4a0c-ae8f-c74332ec082e.jpg": {
+     "image/jpeg": "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"
+    }
+   },
+   "cell_type": "markdown",
+   "metadata": {
+    "toc-hr-collapsed": false
+   },
+   "source": [
+    "![jsc-logo.jpg](attachment:67258d94-84e6-4a0c-ae8f-c74332ec082e.jpg)\n",
+    "Author: [Jens Henrik Göbbert](mailto:j.goebbert@fz-juelich.de)\n",
+    "------------------------------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "toc-hr-collapsed": false
+   },
+   "source": [
+    "# Create your own Jupyter Kernel\n",
+    "\n",
+    "Often the standard kernel do not provide all features you need for your work. This might be that certain modules are not loaded or packages are not installed.  \n",
+    "With your own kernel you can overcome that problem easily and define your own environment, in which you work.\n",
+    "\n",
+    "This notebook shows you how you can build your own kernel for a **python environment**.\n",
+    "\n",
+    "-------------------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Building your own Jupyter kernel is a three step process\n",
+    "1. Create/Pimp new virtual Python environment\n",
+    "   * venv\n",
+    "2. Create/Edit launch script for the Jupyter kernel\n",
+    "   * kernel.sh\n",
+    "3. Create/Edit Jupyter kernel configuration\n",
+    "   * kernel.json"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Settings"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* Set kernel name\n",
+    "  - must be lower case\n",
+    "  - change if you like"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# INPUT NEEDED:\n",
+    "KERNEL_NAME=${USER}_kernel\n",
+    "\n",
+    "export KERNEL_NAME=$(echo \"${KERNEL_NAME}\" | awk '{print tolower($0)}')\n",
+    "echo ${KERNEL_NAME} # double check"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* List directories where JupyterLab will search for kernels"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# JUPYTER SEARCH PATH (for kernels-directory)\n",
+    "echo \"jupyter search paths for kernels-directories\"\n",
+    "if [ -z $JUPYTER_PATH ]; then\n",
+    "  echo \"$HOME/.local/share/jupyter\"\n",
+    "else\n",
+    "  tr ':' '\\n' <<< \"$JUPYTER_PATH\"\n",
+    "fi"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* Set kernel type\n",
+    "    - private kernel = \"\\${HOME}/.local/\"  \n",
+    "    - project kernel = \"\\${PROJECT}/.local/\"  \n",
+    "    - other kernel    = \"\\<your-path\\>\" (ensure it is part of $JUPYTER_PATH or your kernel will not be found by JuypterLab)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# INPUT NEEDED:\n",
+    "export KERNEL_TYPE=private # private, project or other\n",
+    "export KERNEL_SPECS_PREFIX=${HOME}/.local\n",
+    "\n",
+    "###################\n",
+    "# project kernel\n",
+    "if [ \"${KERNEL_TYPE}\" == \"project\" ]; then\n",
+    "  export KERNEL_SPECS_PREFIX=${PROJECT}/.local\n",
+    "  echo \"project kernel\"\n",
+    "# private kernel\n",
+    "elif [ \"${KERNEL_TYPE}\" == \"private\" ]; then\n",
+    "  export KERNEL_SPECS_PREFIX=${HOME}/.local\n",
+    "  echo \"private kernel\"\n",
+    "else\n",
+    "  if [ ! -d \"$KERNEL_SPECS_PREFIX\" ]; then\n",
+    "    echo \"ERROR: please create directory $KERNEL_SPECS_PREFIX\"\n",
+    "  fi\n",
+    "  echo \"other kernel\"\n",
+    "fi\n",
+    "export KERNEL_SPECS_DIR=${KERNEL_SPECS_PREFIX}/share/jupyter/kernels\n",
+    "\n",
+    "# check if kernel name is unique\n",
+    "if [ -d \"${KERNEL_SPECS_DIR}/${KERNEL_NAME}\" ]; then\n",
+    "  echo \"ERROR: Kernel already exists in ${KERNEL_SPECS_DIR}/${KERNEL_NAME}\"\n",
+    "  echo \"       Rename kernel name or remove directory.\"\n",
+    "fi\n",
+    "\n",
+    "echo ${KERNEL_SPECS_DIR}/${KERNEL_NAME} # double check"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* Set directory for kernels virtual environment\n",
+    "  - change if you like"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# INPUT NEEDED:\n",
+    "export KERNEL_VENVS_DIR=${PROJECT}/${USER}/jupyter/kernels\n",
+    "\n",
+    "###################\n",
+    "mkdir -p ${KERNEL_VENVS_DIR}\n",
+    "if [ \"${KERNEL_TYPE}\" != \"private\" ] && [ \"${KERNEL_TYPE}\" != \"other\" ]; then\n",
+    "  echo \"Please check the permissions and ensure your project partners have read/execute permissions:\"\n",
+    "  namei -l ${KERNEL_VENVS_DIR}\n",
+    "fi\n",
+    "\n",
+    "echo ${KERNEL_VENVS_DIR} # double check\n",
+    "ls -lt ${KERNEL_VENVS_DIR}"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 1. Create/Pimp new virtual Python environment"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* 1.1 - Load required modules"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "module -q purge\n",
+    "module -q use $OTHERSTAGES        \n",
+    "module -q load Stages/2020    2> /dev/null # any stage can be used\n",
+    "module -q load GCCcore/.9.3.0 2> /dev/null\n",
+    "module -q load Python/3.8.5                # only Python is required\n",
+    "module list # double check"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* 1.2 - Load extra modules you need for your kernel"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# module load <module you need>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* 1.3 - Create and activate a virtual environment for the kernel  \n",
+    "and ensure python packages installed in the virtual environment are always prefered"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if [ -d \"${KERNEL_VENVS_DIR}/${KERNEL_NAME}\" ]; then\n",
+    "  echo \"ERROR: Directory for virtual environment already ${KERNEL_VENVS_DIR}/${KERNEL_NAME}\"\n",
+    "  echo \"       Rename kernel name or remove directory.\"\n",
+    "else\n",
+    "  python -m venv --system-site-packages ${KERNEL_VENVS_DIR}/${KERNEL_NAME}\n",
+    "  source ${KERNEL_VENVS_DIR}/${KERNEL_NAME}/bin/activate\n",
+    "  export PYTHONPATH=${VIRTUAL_ENV}/lib/python3.8/site-packages:${PYTHONPATH}\n",
+    "  echo ${VIRTUAL_ENV} # double check\n",
+    "fi"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* 1.4 - Install Python libraries required for communication with Jupyter"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "which pip\n",
+    "if [ -z \"${VIRTUAL_ENV}\" ]; then\n",
+    "  echo \"ERROR: Virtual environment not successfully initialized.\"\n",
+    "else\n",
+    "  pip install --ignore-installed ipykernel\n",
+    "  ls ${VIRTUAL_ENV}/lib/python3.8/site-packages/ # double check\n",
+    "fi"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* 1.5 - Install whatever else you need in your Python virtual environment (using pip)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#pip install <python-package you need>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2. Create/Edit launch script for the Jupyter kernel"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* 2.1 - Create launch script, which loads your Python virtual environment and starts the ipykernel process inside:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "echo '#!/bin/bash'\"\n",
+    "\n",
+    "# Load required modules\n",
+    "module purge\n",
+    "module use \"'$OTHERSTAGES'\"\n",
+    "module load Stages/2020\n",
+    "module load GCCcore/.9.3.0\n",
+    "module load Python/3.8.5\n",
+    "\n",
+    "# Load extra modules you need for your kernel (as you did in step 1.2)\n",
+    "#module load <module you need>\n",
+    "    \n",
+    "# Activate your Python virtual environment\n",
+    "source ${KERNEL_VENVS_DIR}/${KERNEL_NAME}/bin/activate\n",
+    "    \n",
+    "# Ensure python packages installed in the virtual environment are always prefered\n",
+    "export PYTHONPATH=${VIRTUAL_ENV}/lib/python3.8/site-packages:\"'${PYTHONPATH}'\"\n",
+    "    \n",
+    "exec python -m ipykernel \"'$@' > ${VIRTUAL_ENV}/kernel.sh\n",
+    "chmod +x ${VIRTUAL_ENV}/kernel.sh\n",
+    "\n",
+    "cat ${VIRTUAL_ENV}/kernel.sh # double check"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 3. Create/Edit Jupyter kernel configuration"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* 3.1 - Create Jupyter kernel configuration directory and files"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "python -m ipykernel install --name=${KERNEL_NAME} --prefix ${VIRTUAL_ENV}\n",
+    "export VIRTUAL_ENV_KERNELS=${VIRTUAL_ENV}/share/jupyter/kernels"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* 3.2 - Adjust kernel.json file"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "mv ${VIRTUAL_ENV_KERNELS}/${KERNEL_NAME}/kernel.json ${VIRTUAL_ENV_KERNELS}/${KERNEL_NAME}/kernel.json.orig\n",
+    "\n",
+    "echo '{\n",
+    "  \"argv\": [\n",
+    "    \"'${KERNEL_VENVS_DIR}/${KERNEL_NAME}/kernel.sh'\",\n",
+    "    \"-m\",\n",
+    "    \"ipykernel_launcher\",\n",
+    "    \"-f\",\n",
+    "    \"{connection_file}\"\n",
+    "  ],\n",
+    "  \"display_name\": \"'${KERNEL_NAME}'\",\n",
+    "  \"language\": \"python\"\n",
+    "}' > ${VIRTUAL_ENV_KERNELS}/${KERNEL_NAME}/kernel.json\n",
+    "\n",
+    "cat ${VIRTUAL_ENV_KERNELS}/${KERNEL_NAME}/kernel.json # double check"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* 3.3 - Create link to kernel specs"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cd ${KERNEL_SPECS_DIR}\n",
+    "ln -s ${VIRTUAL_ENV_KERNELS}/${KERNEL_NAME} .\n",
+    "\n",
+    "echo -e \"\\n\\nThe new kernel '${KERNEL_NAME}' was added to your kernels in '${KERNEL_SPECS_DIR}/'\\n\"\n",
+    "ls ${KERNEL_SPECS_DIR} # double check"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 4. Cleanup"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "deactivate"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Bash",
+   "language": "bash",
+   "name": "bash"
+  },
+  "language_info": {
+   "codemirror_mode": "shell",
+   "file_extension": ".sh",
+   "mimetype": "text/x-sh",
+   "name": "bash"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/day2/4-build-your-kernel/Modify_JupyterKernel_at_NotebookRuntime.ipynb b/day2/4-build-your-kernel/Modify_JupyterKernel_at_NotebookRuntime.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..9cfc5820408c691a4c4200a2025a1a7a9e646761
--- /dev/null
+++ b/day2/4-build-your-kernel/Modify_JupyterKernel_at_NotebookRuntime.ipynb
@@ -0,0 +1,153 @@
+{
+ "cells": [
+  {
+   "attachments": {
+    "f3736838-48a6-4450-9c91-5730ded4aca0.jpg": {
+     "image/jpeg": "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"
+    }
+   },
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "![fzj-jsc_logo.jpg](attachment:f3736838-48a6-4450-9c91-5730ded4aca0.jpg)\n",
+    "Author: [Jonathan Windgassen](mailto:j.windgassen@fz-juelich.de)\n",
+    "------------------------------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# How to modify/extend a running Jupyter Kernel\n",
+    "\n",
+    "There are many cases where one needs modules from JupyterLab for a project. But building your own kernel is often a detour from the original idea or is annoying when publishing your project.  \n",
+    "By adding these 4 cells to the top of your project you can load modules for the project \"on the fly\".\n",
+    "\n",
+    "Besides that this also adds a ways of installing python packages via pip without disrupting the uses packages or access to the system site-packages\n",
+    "\n",
+    "-------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "- First we create to temp-folders in the */tmp* directory, who will contain the venv where we install the required packages and a folder that stores the PYTHONPATH and LD_LIBRARY_PATH environment variable. This is necessary because loading modules manipulates these variables but we can't access the changes from within python, so we store the changed variables in a folder.\n",
+    "- Then we use a bash-shell to:\n",
+    "  - Load the Modules\n",
+    "  - Create a venv and installing ipykernel in there\n",
+    "  - Write PYTHONPATH and LD_LIBRARY_PATH to the tempdir\n",
+    "- Beacause the Dynamic Linker of Python doesn't detect changes in LD_LIBRARY_PATH we need to reboot the Interpreter afterwards to carry these changes over. To gain access to the venv we will start Python from there.\n",
+    "- After that we install the required modules.\n",
+    "\n",
+    "**Note**: The third cell **won't** show that it's completed and the Notebook will show `Python 3 | Starting` at the bottom, although the interpreter already reloaded compeltely. You can savely ignore this and continue with the third shell. As soon as this has finished the Notebook will show `Python3 | Idle` again."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os, sys, tempfile\n",
+    "\n",
+    "tempdir = tempfile.mkdtemp()\n",
+    "venv_folder = tempfile.mkdtemp()\n",
+    "print(tempdir, venv_folder)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%bash -s \"$tempdir\" \"$venv_folder\"  # Pass the paths to the bash-subshell\n",
+    "\n",
+    "######################################################################\n",
+    "##                     The modules go here                          ##\n",
+    "##     We will use Stage/Devel-2020 with Python 3.8 as a example    ##\n",
+    "######################################################################\n",
+    "\n",
+    "# Update to Stage Devel-2020\n",
+    "module --force purge\n",
+    "module use $OTHERSTAGES        \n",
+    "module load Stages/Devel-2020\n",
+    "\n",
+    "module load GCC/9.3.0\n",
+    "module load Python/3.8.5\n",
+    "\n",
+    "# Create a venv with the python from Devel-2020 and install ipykernel there (needed for communicating with Jupyter)\n",
+    "# If you don't change Python above this should be a normal Python 3.6 venv\n",
+    "python -m venv --system-site-packages $2\n",
+    "source $2/bin/activate\n",
+    "pip install --quiet ipykernel\n",
+    "\n",
+    "# Store the new variables to the temp-folder\n",
+    "echo $PYTHONPATH > $1/pythonpath\n",
+    "echo $LD_LIBRARY_PATH > $1/librarypath"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# The arguments for the new python interpreter. We need to initialize ipykernel or JupyterLab will fail to integrate the new process\n",
+    "args = [f\"{venv_folder}/bin/python\", \"-m\", \"ipykernel\"]\n",
+    "args.extend(sys.argv)\n",
+    "\n",
+    "# Because we call \"execve\" instead of \"execv\" we get the option to set the environment variables in the process. We use this to smuggle in the changed LD_LIBRARY_PATH and PYTHONPATH.\n",
+    "# You also can pass the location of the 2 temp-folders as new environment variables if you want to delete them later for cleanup.\n",
+    "env = {\"PYTHONPATH\": open(f\"{tempdir}/pythonpath\").read(),\n",
+    "       \"LD_LIBRARY_PATH\": open(f\"{tempdir}/librarypath\").read(),\n",
+    "       \"tempdir\": tempdir,\n",
+    "       \"venv_folder\": venv_folder}\n",
+    " \n",
+    "!echo Restarting Interpreter from $venv_folder/bin/python. Please execute the next cell\n",
+    "os.execve(f\"{venv_folder}/bin/python\", args, env)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Because we are in the venv now, we can safely install all packages that we need and don't come with the Python3-Kernel. No need to add --user\n",
+    "%pip install --quiet ..."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "-----\n",
+    "\n",
+    "After that you can import all you libraries (remember that the Interpreter restarted and you need to reimport os/sys/tempfile if you need them) and start with the notebook"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/day2/4-build-your-kernel/PRACE-Wrkshp_interactive-hpc-with-jupyter_build-kernel.pdf b/day2/4-build-your-kernel/PRACE-Wrkshp_interactive-hpc-with-jupyter_build-kernel.pdf
new file mode 100644
index 0000000000000000000000000000000000000000..0fb40a84b431317c2a81c9a154936aa5d719f517
Binary files /dev/null and b/day2/4-build-your-kernel/PRACE-Wrkshp_interactive-hpc-with-jupyter_build-kernel.pdf differ
diff --git a/day2/5-server-proxy/1-server-proxy.ipynb b/day2/5-server-proxy/1-server-proxy.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..8bb0909b2c7d1ddff38048aaa5698c43d19052ab
--- /dev/null
+++ b/day2/5-server-proxy/1-server-proxy.ipynb
@@ -0,0 +1,127 @@
+{
+ "cells": [
+  {
+   "attachments": {
+    "67258d94-84e6-4a0c-ae8f-c74332ec082e.jpg": {
+     "image/jpeg": "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"
+    }
+   },
+   "cell_type": "markdown",
+   "id": "diverse-activity",
+   "metadata": {
+    "toc-hr-collapsed": false
+   },
+   "source": [
+    "![jsc-logo.jpg](attachment:67258d94-84e6-4a0c-ae8f-c74332ec082e.jpg)\n",
+    "Author: [Jens Henrik Göbbert](mailto:j.goebbert@fz-juelich.de)\n",
+    "------------------------------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "hourly-valentine",
+   "metadata": {},
+   "source": [
+    "### Accessing Arbitrary Ports or Hosts\n",
+    "[more](https://jupyter-server-proxy.readthedocs.io/en/latest/arbitrary-ports-hosts.html)\n",
+    "\n",
+    "---------------------------------------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "potential-store",
+   "metadata": {},
+   "source": [
+    "#### Exercise 1:\n",
+    "1. Start a web-server\n",
+    "**ATTENTION: the code below fails, because Jupyter is already running a tornado event loop\n",
+    "2. Create a Python file and run it in the terminal"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "brutal-failing",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "### WILL FAIL ####\n",
+    "import tornado.ioloop\n",
+    "import tornado.web\n",
+    "\n",
+    "class MainHandler(tornado.web.RequestHandler):\n",
+    "    def get(self):\n",
+    "        self.write(\"Hello, world\")\n",
+    "\n",
+    "def make_app():\n",
+    "    return tornado.web.Application([\n",
+    "        (r\"/\", MainHandler),\n",
+    "    ])\n",
+    "\n",
+    "if __name__ == \"__main__\":\n",
+    "    app = make_app()\n",
+    "    app.listen(8888)\n",
+    "    tornado.ioloop.IOLoop.current().start()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dynamic-experience",
+   "metadata": {},
+   "source": [
+    "#### Exercise 2:\n",
+    "1. Connect to the running web-server from within your browser  \n",
+    "   - add `/proxy/<port>` to the Jupyter-Notebook-Server´s URL\n",
+    "   - e.g. https://jupyter-jsc.fz-juelich.de/user/j.goebbert@fz-juelich.de/jusuf_login/proxy/8888"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "computational-prime",
+   "metadata": {},
+   "source": [
+    "**Image what that allows you to do without the hassle of ssh-tunnels!**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "peripheral-leave",
+   "metadata": {},
+   "source": [
+    "#### Exercise 3:\n",
+    "1. Check how `jupyter-xprahtml5-proxy` is using the jupyter-server-proxy extension\n",
+    "   - [more](https://github.com/FZJ-JSC/jupyter-xprahtml5-proxy)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "micro-strap",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/day2/5-server-proxy/PRACE-Wrkshp_interactive-hpc-with-jupyter_serverproxy.pdf b/day2/5-server-proxy/PRACE-Wrkshp_interactive-hpc-with-jupyter_serverproxy.pdf
new file mode 100644
index 0000000000000000000000000000000000000000..1c31f5bc54808d7cced6c2eed710739b9d3bea53
Binary files /dev/null and b/day2/5-server-proxy/PRACE-Wrkshp_interactive-hpc-with-jupyter_serverproxy.pdf differ
diff --git a/day2/6-interactive-widgets/voila_with_jupyter_jsc.ipynb b/day2/6-interactive-widgets/voila_with_jupyter_jsc.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..84b029b0d4979d932b4d4e4a6088c81707d85837
--- /dev/null
+++ b/day2/6-interactive-widgets/voila_with_jupyter_jsc.ipynb
@@ -0,0 +1,188 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "remarkable-performance",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "port = 8866"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "taken-subject",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "voila --server_url=jupyter-jsc.fz-juelich.de --base_url=/user/a.grosch@fz-juelich.de/jusuf/proxy/8866/ 08.01-voila-basics.ipynb\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "import os\n",
+    "print(\"\"\"\n",
+    "voila --server_url=/ --base_url={prefix}proxy/{port}/ 08.01-voila-basics.ipynb\n",
+    "\"\"\".format(prefix=os.environ['JUPYTERHUB_SERVICE_PREFIX'], port=port))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "encouraging-making",
+   "metadata": {},
+   "source": [
+    "#### All voila arguments:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "entire-trustee",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "voila [OPTIONS] NOTEBOOK_FILENAME\n",
+      "\n",
+      "This launches a stand-alone server for read-only notebooks.\n",
+      "\n",
+      "Options\n",
+      "-------\n",
+      "\n",
+      "notebook_path:\n",
+      "    File name of the Jupyter notebook to display.\n",
+      "\n",
+      "--debug\n",
+      "    Set the log level to logging.DEBUG, and show exception tracebacks in output.\n",
+      "--no-browser\n",
+      "    Don't open the notebook in a browser after startup.\n",
+      "--port=<Int> (Voila.port)\n",
+      "    Default: 8866\n",
+      "    Port of the Voilà server. Default 8866.\n",
+      "--static=<Unicode> (Voila.static_root)\n",
+      "    Default: '/p/software/jusuf/stages/2020/software/Jupyter/2020.2.6-gccc...\n",
+      "    Directory holding static assets (HTML, JS and CSS files).\n",
+      "--strip_sources=<Bool> (VoilaConfiguration.strip_sources)\n",
+      "    Default: True\n",
+      "    Strip sources from rendered html\n",
+      "--autoreload=<Bool> (Voila.autoreload)\n",
+      "    Default: False\n",
+      "    Will autoreload to server and the page when a template, js file or Python\n",
+      "    code changes\n",
+      "--template=<Unicode> (VoilaConfiguration.template)\n",
+      "    Default: 'lab'\n",
+      "    template name to be used by voila.\n",
+      "--theme=<Unicode> (VoilaConfiguration.theme)\n",
+      "    Default: 'light'\n",
+      "--base_url=<Unicode> (Voila.base_url)\n",
+      "    Default: '/'\n",
+      "    Path for Voilà API calls. If server_url is unset, this will be\n",
+      "    used for both the base route of the server and the client.             If\n",
+      "    server_url is set, the server will server the routes prefixed             by\n",
+      "    server_url, while the client will prefix by base_url (this is\n",
+      "    useful in reverse proxies).\n",
+      "--server_url=<Unicode> (Voila.server_url)\n",
+      "    Default: None\n",
+      "    Path to prefix to Voilà API handlers. Leave unset to default to base_url\n",
+      "--enable_nbextensions=<Bool> (VoilaConfiguration.enable_nbextensions)\n",
+      "    Default: False\n",
+      "    Set to True for Voilà to load notebook extensions\n",
+      "\n",
+      "To see all available configurables, use `--help-all`\n",
+      "\n",
+      "Examples\n",
+      "--------\n",
+      "\n",
+      "    voila example.ipynb --port 8888\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "!voila --help"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "supposed-stupid",
+   "metadata": {},
+   "source": [
+    "#### With template:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "chicken-scanning",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "\n",
+      "voila --template vuetify-default --server_url=/ --base_url=/user/a.grosch@fz-juelich.de/jusuf/proxy/8866/ 08.01-voila-basics.ipynb\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(\"\"\"\n",
+    "voila --template vuetify-default --server_url=/ --base_url={prefix}proxy/{port}/ 08.01-voila-basics.ipynb\n",
+    "\"\"\".format(prefix=os.environ['JUPYTERHUB_SERVICE_PREFIX'], port=port))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "alpha-badge",
+   "metadata": {},
+   "source": [
+    "#### With notenook extensions:  \n",
+    "`Set to True for Voilà to load notebook extensions`  \n",
+    "Needed when wanting to display plots from plotting libary for example."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "independent-examination",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(\"\"\"\n",
+    "voila --enable_nbextensions=True --server_url=/ --base_url={prefix}proxy/{port}/ 08.01-voila-basics.ipynb\n",
+    "\"\"\".format(prefix=os.environ['JUPYTERHUB_SERVICE_PREFIX'], port=port))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.8.5"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/day2/6-interactive-widgets/widget_tutorial.ipynb b/day2/6-interactive-widgets/widget_tutorial.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..e08ed6d94c298526dde473a3dd346a5ce65a6c7c
--- /dev/null
+++ b/day2/6-interactive-widgets/widget_tutorial.ipynb
@@ -0,0 +1,66 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "national-cologne",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Cloning into 'tutorial'...\n",
+      "remote: Enumerating objects: 2007, done.        \n",
+      "remote: Counting objects: 100% (85/85), done.        \n",
+      "remote: Compressing objects: 100% (65/65), done.        \n",
+      "remote: Total 2007 (delta 37), reused 37 (delta 20), pack-reused 1922        \n",
+      "Receiving objects: 100% (2007/2007), 7.18 MiB | 26.53 MiB/s, done.\n",
+      "Resolving deltas: 100% (1321/1321), done.\n"
+     ]
+    }
+   ],
+   "source": [
+    "git clone https://github.com/jupyter-widgets/tutorial.git"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "induced-family",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "equivalent-determination",
+   "metadata": {},
+   "source": [
+    "**Example Dashboards**:\n",
+    "\n",
+    "https://cosimo.fz-juelich.de/  \n",
+    "https://covid19-bayesian.fz-juelich.de/\n",
+    "\n",
+    "**Dashboards for Science**:\n",
+    "\n",
+    "https://www.fz-juelich.de/SharedDocs/Termine/IAS/JSC/DE/Kurse/2021/dashboards-2021.html"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Bash",
+   "language": "bash",
+   "name": "bash"
+  },
+  "language_info": {
+   "codemirror_mode": "shell",
+   "file_extension": ".sh",
+   "mimetype": "text/x-sh",
+   "name": "bash"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}