diff --git a/001-Jupyter/Activate_JupyterJSC_2-factor-authentication.ipynb b/001-Jupyter/Activate_JupyterJSC_2-factor-authentication.ipynb
index dc7425b9b33a89b6105929441cde8144a702133c..f1f336dac485895f25d6bb9022e38eaa50944231 100644
--- a/001-Jupyter/Activate_JupyterJSC_2-factor-authentication.ipynb
+++ b/001-Jupyter/Activate_JupyterJSC_2-factor-authentication.ipynb
@@ -12,7 +12,7 @@
    },
    "source": [
     "![jsc-logo.jpg](attachment:67258d94-84e6-4a0c-ae8f-c74332ec082e.jpg)\n",
-    "\n",
+    "Author: [Jens Henrik Göbbert](mailto:j.goebbert@fz-juelich.de)\n",
     "------------------------------------"
    ]
   },
diff --git a/001-Jupyter/Create_JupyterKernel_conda.ipynb b/001-Jupyter/Create_JupyterKernel_conda.ipynb
index e79cf5cf859feeabb36086913870f7ae94bdd5db..44860543c2f3bbcfff8a1a8b0e89d8296a4ae9b8 100644
--- a/001-Jupyter/Create_JupyterKernel_conda.ipynb
+++ b/001-Jupyter/Create_JupyterKernel_conda.ipynb
@@ -12,7 +12,7 @@
    },
    "source": [
     "![jsc-logo.jpg](attachment:500ad0ee-8923-43bb-9336-e838a26dc2f1.jpg) \n",
-    "Author: Sebastian Lührs\n",
+    "Author: [Sebastian Lührs](mailto:s.luehrs@fz-juelich.de)\n",
     "--------------------------------------"
    ]
   },
@@ -21,6 +21,12 @@
    "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",
     "--------------------------------------"
    ]
   },
diff --git a/001-Jupyter/Create_JupyterKernel_general.ipynb b/001-Jupyter/Create_JupyterKernel_general.ipynb
index 6eeef8f66a44372e14f3a2a3e88e31aabf07729c..8c6eb6e1185ed0a5238a1d4d5100266177aff425 100644
--- a/001-Jupyter/Create_JupyterKernel_general.ipynb
+++ b/001-Jupyter/Create_JupyterKernel_general.ipynb
@@ -12,7 +12,7 @@
    },
    "source": [
     "![jsc-logo.jpg](attachment:67258d94-84e6-4a0c-ae8f-c74332ec082e.jpg)\n",
-    "Author: Jens Henrik Göbbert\n",
+    "Author: [Jens Henrik Göbbert](mailto:j.goebbert@fz-juelich.de)\n",
     "------------------------------------"
    ]
   },
@@ -23,6 +23,12 @@
    },
    "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",
     "-------------------------"
    ]
   },
diff --git a/001-Jupyter/List_JupyterExtensions.ipynb b/001-Jupyter/List_JupyterExtensions.ipynb
index 93ffad64131f44608623963686288b5fae2139ba..aaf035596cf9ab9ee2f9bffe3fac6805543cb8d7 100644
--- a/001-Jupyter/List_JupyterExtensions.ipynb
+++ b/001-Jupyter/List_JupyterExtensions.ipynb
@@ -12,7 +12,7 @@
    },
    "source": [
     "![jsc-logo.jpg](attachment:67258d94-84e6-4a0c-ae8f-c74332ec082e.jpg)\n",
-    "Author: Jens Henrik Göbbert\n",
+    "Author: [Jens Henrik Göbbert](mailto:j.goebbert@fz-juelich.de)\n",
     "------------------------------------"
    ]
   },
diff --git a/001-Jupyter/List_PythonPackages.ipynb b/001-Jupyter/List_PythonPackages.ipynb
index 2e25c1e336a8ba6221163471c90838eb06dd7be7..a779a24a808b00e4eb13f90089bd3a9e86888610 100644
--- a/001-Jupyter/List_PythonPackages.ipynb
+++ b/001-Jupyter/List_PythonPackages.ipynb
@@ -12,7 +12,7 @@
    },
    "source": [
     "![jsc-logo.jpg](attachment:67258d94-84e6-4a0c-ae8f-c74332ec082e.jpg)\n",
-    "Author: Jens Henrik Göbbert\n",
+    "Author: [Jens Henrik Göbbert](mailto:j.goebbert@fz-juelich.de)\n",
     "------------------------------------"
    ]
   },
diff --git a/001-Jupyter/Markdown_Tipps-and-Tricks.ipynb b/001-Jupyter/Markdown_Tipps-and-Tricks.ipynb
index 9d02edf3e6a648d36f88135a3efedeac37c20d29..46cbea75b78c3c404434c779d63eef356bbd67e5 100644
--- a/001-Jupyter/Markdown_Tipps-and-Tricks.ipynb
+++ b/001-Jupyter/Markdown_Tipps-and-Tricks.ipynb
@@ -12,7 +12,7 @@
    },
    "source": [
     "![jsc-logo.jpg](attachment:67258d94-84e6-4a0c-ae8f-c74332ec082e.jpg)\n",
-    "Author: Jens Henrik Göbbert\n",
+    "Author: [Jens Henrik Göbbert](mailto:j.goebbert@fz-juelich.de)\n",
     "------------------------------------"
    ]
   },
@@ -21,7 +21,7 @@
    "metadata": {},
    "source": [
     "# Markdown Tipps & Tricks (for Jupyter Notebook)\n",
-    "------------------\n",
+    "\n",
     "Markdown writing skills are essential to portray your work in the Jupyter notebook to offer the reader a sufficient explanation of both the code and the concept.\n",
     "\n",
     "I have collected informations for different sources. Thanks to them!\n",
@@ -29,6 +29,8 @@
     "* [The Ultimate Markdown Guide for Jupyter Notebooks](https://medium.com/analytics-vidhya/the-ultimate-markdown-guide-for-jupyter-notebook-d5e5abf728fd)\n",
     "* [Daring Fireball´s Markdown documentation](https://daringfireball.net/projects/markdown/syntax)\n",
     "* [Bringing the Best out of Jupyter Notebooks](https://towardsdatascience.com/bringing-the-best-out-of-jupyter-notebooks-for-data-science-f0871519ca29)\n",
+    "------------------\n",
+    "\n",
     "\n",
     "## What’s Markdown?\n",
     "\n",
diff --git a/001-Jupyter/Modify_JupyterKernel_at_NotebookRuntime.ipynb b/001-Jupyter/Modify_JupyterKernel_at_NotebookRuntime.ipynb
index 89557e87870d0dcdc8b5b1d364c0eba4d142cd1e..7dfc3edb91aca602b905bfc30742761c0f2cda9b 100644
--- a/001-Jupyter/Modify_JupyterKernel_at_NotebookRuntime.ipynb
+++ b/001-Jupyter/Modify_JupyterKernel_at_NotebookRuntime.ipynb
@@ -2,25 +2,26 @@
  "cells": [
   {
    "attachments": {
-    "88c90614-07ea-4ccb-aab3-7b63dc27a603.png": {
-     "image/png": "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"
+    "f3736838-48a6-4450-9c91-5730ded4aca0.jpg": {
+     "image/jpeg": "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"
     }
    },
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "<img src=attachment:88c90614-07ea-4ccb-aab3-7b63dc27a603.png width=400, height=41>\n",
-    "\n",
-    "Author: [Jonathan Windgassen](mailto:j.windgassen@fz-juelich.de)"
+    "![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": [
-    "# Extending the default kernel\n",
+    "# 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. By adding these 4 cells to the top of your project you can load modules for the project \"on the fly\".\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",
diff --git a/002-Methods/003-Visualization/Install_your_UnrealEngine.ipynb b/002-Methods/003-Visualization/Install_your_UnrealEngine.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..d11a9706e2cd50a555e05cc43be2787f3ad93e10
--- /dev/null
+++ b/002-Methods/003-Visualization/Install_your_UnrealEngine.ipynb
@@ -0,0 +1,583 @@
+{
+ "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": [
+    "# Install your own Unreal Engine\n",
+    "\n",
+    "The Unreal Engine is a game engine developed by **Epic Games**, first showcased in the 1998 game Unreal. It has been seen adoption by many non-gaming projects.  \n",
+    "Written in **C++**, the Unreal Engine features a high degree of portability, supporting a wide range of platforms. \n",
+    "\n",
+    "It can be **downloaded for free**, with its source code available on a GitHub private repository.  \n",
+    "It is free to use for non-commercial projects. Epic allows for its use in commercial products based on a royalty model.\n",
+    "\n",
+    "https://www.unrealengine.com\n",
+    "\n",
+    "-------------------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Building your own Unreal Engine environment is a four step process\n",
+    "1. Prepare Github and Epic accounts\n",
+    "2. Download the UnrealEngine source\n",
+    "3. Build UnrealEngine\n",
+    "4. Setup environment and start scripts\n",
+    "\n",
+    "More:  \n",
+    "https://www.ue4community.wiki/legacy/building-on-linux-qr8t0si2  \n",
+    "https://docs.unrealengine.com/en-US/Platforms/Linux/BeginnerLinuxDeveloper/SettingUpAnUnrealWorkflow/3/index.html"
+   ]
+  },
+  {
+   "attachments": {
+    "ac6a06cc-cd0a-4f3e-be0f-4309d8eb79e4.png": {
+     "image/png": "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"
+    }
+   },
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 1. Prepare Github and Epic accounts\n",
+    "(more details: https://docs.unrealengine.com/en-US/GettingStarted/DownloadingUnrealEngine/index.html)\n",
+    "\n",
+    "### Create a Github + Epic account\n",
+    "\n",
+    "**Github**\n",
+    "If you do not have a Github account yet,  \n",
+    "you must first create one here: https://github.com/join\n",
+    "\n",
+    "**Epic**\n",
+    "If you do not have an Epic account yet,  \n",
+    "you must first create one here: https://www.unrealengine.com/login  \n",
+    "and verify it via the email which gets send to you.\n",
+    "\n",
+    "### Associated your GitHub with your Epic account\n",
+    "(more details: https://www.unrealengine.com/en-US/ue4-on-github)\n",
+    "\n",
+    "After creating a **GitHub** and **Epic** account,  \n",
+    "sign into [UnrealEngine.com](https://unrealengine.com) with your verified Epic Games account.\n",
+    "1. Hover over your username in the top-right corner, and select the **Personal** button from the drop-down menu.\n",
+    "2. With your account dashboard open, select the **Connections** tab from the sidebar.  \n",
+    "3. After opening the Connections menu, select the **Accounts** tab, and then select the **Connect** button below the GitHub icon.  \n",
+    "\n",
+    "![grafik.png](attachment:ac6a06cc-cd0a-4f3e-be0f-4309d8eb79e4.png)\n",
+    "\n",
+    "---------------------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2. Download the Unreal Engine source"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* define same setting for the installation\n",
+    "\n",
+    "<div class=\"alert alert-block alert-danger\">\n",
+    "<b>ATTENTION:</b>\n",
+    "You MUST set GITHUB_USER and GITHUB_PASSWORD here.\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# INPUT NEEDED:\n",
+    "# set the name of the github repository tag of the UnrealEngine source repository you want to download\n",
+    "UNREAL_TAG=4.22.3-release\n",
+    "\n",
+    "# set the root install path where all different Unreal installations will have their own subdirectory\n",
+    "UNREAL_ROOT=${PROJECT}/${USER}/UnrealEngine\n",
+    "# and ensure root install path for Unreal exists\n",
+    "mkdir -p ${UNREAL_ROOT}\n",
+    "\n",
+    "# set the installation path of this concrete Unreal Engine install\n",
+    "UNREAL_HOME=${UNREAL_ROOT}/UnrealEngine-${UNREAL_TAG}\n",
+    "\n",
+    "# set the Github username, which is associated to your Epic account\n",
+    "GITHUB_USER=<your Github user name>  # <<<<<<<<<<<<<<<<<<<<<<<<<<< YOUR INPUT MANDETORY\n",
+    "GITHUB_PASSWD=<your Github password> # <<<<<<<<<<<<<<<<<<<<<<<<<<< YOUR INPUT MANDETORY\n",
+    "\n",
+    "echo \"UNREAL_TAG  = ${UNREAL_TAG}\"  # double check\n",
+    "echo \"UNREAL_ROOT = ${UNREAL_ROOT}\" # double check\n",
+    "echo \"UNREAL_HOME = ${UNREAL_HOME}\" # double check\n",
+    "echo \"GITHUB_USER = ${GITHUB_USER}\" # double check"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* download the source from Github to ${UNREAL_HOME}\n",
+    "\n",
+    "<div class=\"alert alert-block alert-info\">\n",
+    "<b>ATTENTION:</b>\n",
+    "This takes long (~10min).\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "######################################################################################\n",
+    "# ATTENTION: register to Epic first and join their GitHub repo to be able to download\n",
+    "######################################################################################\n",
+    "\n",
+    "# check if root directory exists\n",
+    "if [ -z ${UNREAL_ROOT} ] || [ ! -d \"${UNREAL_ROOT}\" ]; then\n",
+    "  echo \"ERROR: please create directory ${UNREAL_ROOT}\"\n",
+    "fi\n",
+    "cd ${UNREAL_ROOT}\n",
+    "\n",
+    "# ensure download directory does not exist already \n",
+    "if [ -d \"${UNREAL_ROOT}/UnrealEngine\" ]; then\n",
+    "  echo \"ERROR: ${UNREAL_ROOT}/UnrealEngine exists. Please remove/rename is as it is needed for git clone\"\n",
+    "else\n",
+    "\n",
+    "# Clone UnrealEngine repo with a github-account linked to an epic-account\n",
+    "# ATTENTION: this can take some time (up to 15 min) ... be patient\n",
+    "# example output:\n",
+    "#    remote: Enumerating objects: 111, done.        \n",
+    "#    remote: Counting objects: 100% (111/111), done.        \n",
+    "#    remote: Compressing objects: 100% (111/111), done.        \n",
+    "#    remote: Total 1309563 (delta 0), reused 107 (delta 0), pack-reused 1309452        \n",
+    "#    Receiving objects: 100% (1309563/1309563), 1.77 GiB | 31.45 MiB/s, done.\n",
+    "#    Resolving deltas: 100% (827619/827619), done.\n",
+    "#    Note: checking out '375ba9730e72bf85b383c07a5e4a7ba98774bcb9'. \n",
+    "#    <text>\n",
+    "#    Checking out files: 100% (118708/118708), done.\n",
+    "  echo \"Start download at $(date)\"\n",
+    "  git clone -b ${UNREAL_TAG} --single-branch https://${GITHUB_USER}:${GITHUB_PASSWD}@github.com/EpicGames/UnrealEngine.git\n",
+    "  echo \"Finished download at $(date)\"\n",
+    "fi"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* at least 4.22.3 does not support first directory of the build/install path to be a single character\n",
+    "  * better we patch it as this is the case at JSC with \"/p/\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "patch -p0 --ignore-whitespace << 'EOF'\n",
+    "diff -Nru UnrealEngine/Engine/Source/Runtime/Core/Private/Misc/Paths.cpp UnrealEngine.orig/Engine/Source/Runtime/Core/Private/Misc/Paths.cpp\n",
+    "--- UnrealEngine/Engine/Source/Runtime/Core/Private/Misc/Paths.cpp       2020-04-29 11:28:46.000000000 +0200\n",
+    "+++ UnrealEngine.orig/Engine/Source/Runtime/Core/Private/Misc/Paths.cpp  2020-04-29 12:54:18.627019714 +0200\n",
+    "@@ -1074,6 +1074,7 @@\n",
+    "        TArray<FString> SourceArray;\n",
+    "        Source.ParseIntoArray(SourceArray, TEXT(\"/\"), true);\n",
+    "\n",
+    "+#if PLATFORM_WINDOWS || PLATFORM_XBOXONE\n",
+    "        if (TargetArray.Num() && SourceArray.Num())\n",
+    "        {\n",
+    "                // Check for being on different drives\n",
+    "@@ -1086,6 +1087,7 @@\n",
+    "                        }\n",
+    "                }\n",
+    "        }\n",
+    "+#endif\n",
+    "\n",
+    "        while (TargetArray.Num() && SourceArray.Num() && TargetArray[0] == SourceArray[0])\n",
+    "        {\n",
+    "EOF"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* we do not install a /usr/bin/python on our machines, but a /usr/bin/python2\n",
+    "  *  replace /usr/bin/python -> /usr/bin/python2"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# attention:\n",
+    "#    1. we need to consider spaces in filenames: \"-d '\\n'\"\n",
+    "#    2. we must not do the replace, if /usr/bin/python2 is already present: look ahead with perl \"(?!2)\" - this needs perl no sed\n",
+    "find UnrealEngine/ -name '*.py'  -type f \\\n",
+    "                -o -name '*.rc'  -type f \\\n",
+    "                -o -name '*.cs'  -type f \\\n",
+    "                -o -name '*.txt' -type f \\\n",
+    "    | xargs -d '\\n' perl -pi -e 's#/usr/bin/python(?!2)#/usr/bin/python2#g'"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* rename directory to ${UNREAL_HOME}"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# ensure installation directory does not already exists\n",
+    "if [ -z ${UNREAL_HOME} ] || [ -d \"${UNREAL_HOME}\" ]; then\n",
+    "  echo \"ERROR: ${UNREAL_HOME} already exists. Please remove/rename directory ${UNREAL_HOME}\"\n",
+    "fi\n",
+    "\n",
+    "# rename directory to match tag name\n",
+    "mv UnrealEngine ${UNREAL_HOME}\n",
+    "\n",
+    "echo \"Unreal Engine source installed to ${UNREAL_HOME}\" # double check"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "----------------------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 3. Build UnrealEngine"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* prepare environment\n",
+    "  * change directory to source dir ${UNREAL_HOME}\n",
+    "  * load modules"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "cd ${UNREAL_HOME}\n",
+    "module purge\n",
+    "module use $OTHERSTAGES\n",
+    "\n",
+    "module load Stages/Devel-2020\n",
+    "module load GCCcore/.9.3.0\n",
+    "module load Python/3.8.5\n",
+    "\n",
+    "module load libtool/.2.4.6\n",
+    "module load xdg-user-dirs/0.17\n",
+    "module load GTK+/3.24.17\n",
+    "module load OpenGL/2020\n",
+    "\n",
+    "module list"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* download required dependencies of build-in toolchain  \n",
+    "\n",
+    "<div class=\"alert alert-block alert-info\">\n",
+    "<b>ATTENTION:</b>\n",
+    "This takes long (~10min).\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "echo \"Start Setup.sh at $(date)\"\n",
+    "./Setup.sh\n",
+    "echo \"Finished Setup.sh at $(date)\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* Setup Mono\n",
+    "* Build UnrealBuildTool (written in C#)\n",
+    "* Generate systemspecific Unreal project files with  \n",
+    "\n",
+    "<div class=\"alert alert-block alert-info\">\n",
+    "<b>ATTENTION:</b>\n",
+    "This takes long (~5min).\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "echo \"Start GenerateProjectFiles.sh at $(date)\"\n",
+    "./GenerateProjectFiles.sh\n",
+    "echo \"Finished GenerateProjectFiles.sh at $(date)\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* Build all  \n",
+    "\n",
+    "<div class=\"alert alert-block alert-info\">\n",
+    "<b>ATTENTION:</b>\n",
+    "This takes long (~30min).\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "echo \"Start make at $(date)\"\n",
+    "make\n",
+    "echo \"Finished make at $(date)\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "* Sanity check"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "if [ -f \"${UNREAL_HOME}/Engine/Binaries/Linux/UE4Editor\" ]; then\n",
+    "   echo \"Sanity check SUCCESSFULL\"\n",
+    "else\n",
+    "   echo \"Sanity check FAILED\"\n",
+    "fi"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "---"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 4. Setup environment and start scripts\n",
+    "\n",
+    "<div class=\"alert alert-block alert-info\">\n",
+    "<b>ATTENTION:</b>\n",
+    "!!! ONLY start UE4Editor in a prepared environment - created by the script below !!!\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "To run any UnrealEngine application or editor you need to prepare your environment first:\n",
+    "1. load the same modules as you did at build time\n",
+    "2. use VirtualGL to be able to use the hardware acceleration with 'vglrun'\n",
+    "3. ensure all binaries and libs are automatically found\n",
+    "4. start it and have fun"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "{ cat > ${UNREAL_ROOT}/run_UE4Editor-${UNREAL_TAG}.sh; } << 'EOF'\n",
+    "#!/bin/bash\n",
+    "\n",
+    "# 1. load the same modules as you did at build time\n",
+    "module purge\n",
+    "module use $OTHERSTAGES\n",
+    "module load Stages/Devel-2020\n",
+    "module load GCCcore/.9.3.0\n",
+    "module load Python/3.8.5\n",
+    "module load libtool/.2.4.6\n",
+    "module load xdg-user-dirs/0.17\n",
+    "module load GTK+/3.24.17\n",
+    "module load OpenGL/2020\n",
+    "\n",
+    "# 3. ensure all binaries and libs are automatically found\n",
+    "export UNREAL_ROOT=\"$( cd \"$( dirname \"${BASH_SOURCE[0]}\" )\" >/dev/null 2>&1 && pwd )\"\n",
+    "export UNREAL_HOME=${UNREAL_ROOT}/UnrealEngine-UNREAL_TAG\n",
+    "export PATH=${UNREAL_HOME}/Engine/Binaries/Linux/:${PATH}\n",
+    "export LD_LIBRARY_PATH=${UNREAL_HOME}/Engine/Binaries/Linux/:${LD_LIBRARY_PATH}\n",
+    "\n",
+    "# check if we can run vglrun (gpu=nvida + Xserver at display 0)\n",
+    "#  - an Nvidia GPU must be installed\n",
+    "#  - /tmp/.X11-unix/X0 must exist (owned by root and readable for you)\n",
+    "# both should be the case on the visualization login nodes of JUWELS and all login nodes of JURECA-DC\n",
+    "NVGPU=$(lspci -nnk | grep -i nvidia | grep -i \"in use\" | cut -d ' ' -f 5)\n",
+    "if [ -S /tmp/.X11-unix/X0 ] && [ \"${NVGPU}\" == \"nvidia\" ]; then\n",
+    "  # ok, GPU found and probably accessible through VirtualGL\n",
+    "  echo >&2 \"         -- hardware accelerated\"\n",
+    "  \n",
+    "  # 3. use VirtualGL to be able to use the hardware acceleration with 'vglrun'\n",
+    "  module load VirtualGL\n",
+    "  \n",
+    "  # 4. start it and have fun\n",
+    "  vglrun +v -d :0 UE4Editor -opengl4\n",
+    "\n",
+    "else\n",
+    "  # oh no, we need to warn the user\n",
+    "  echo >&2 \"         -- software rendering\"\n",
+    "  echo >&2 \"!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\"\n",
+    "  echo >&2 \"!!!         NO GPU FOUND - THIS WILL BE SLOW          !!!\"\n",
+    "  echo >&2 \"!!! Try to run Unreal on nodes with GPU - it needs it !!!\"\n",
+    "  echo >&2 \"!!! For example JUWELS-VIS and JURECA-DC login nodes  !!!\"\n",
+    "  echo >&2 \"!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!\"\n",
+    "  # 4. start it and have fun\n",
+    "  UE4Editor -opengl4\n",
+    "fi\n",
+    "EOF\n",
+    "\n",
+    "sed -i 's/UNREAL_TAG/'\"${UNREAL_TAG}\"'/g' ${UNREAL_ROOT}/run_UE4Editor-${UNREAL_TAG}.sh\n",
+    "chmod +x ${UNREAL_ROOT}/run_UE4Editor-${UNREAL_TAG}.sh\n",
+    "\n",
+    "echo \"Startscript created as ${UNREAL_ROOT}/run_UE4Editor-${UNREAL_TAG}.sh\""
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "<div class=\"alert alert-block alert-danger\">\n",
+    "<b>ATTENTION:</b><br>\n",
+    "<section>\n",
+    "  1. You NEED to call \"UE4Editor\" in a remote desktop like it is provide through\n",
+    "  <ul>\n",
+    "    <li>Jupyter-JSC (https://jupyter-jsc.fz-juelich.de)<br></li>\n",
+    "    <li>and its Xpra on the JupyterLab-Launcher-Panel</li>\n",
+    "  </ul>\n",
+    "</section>\n",
+    "2. The first time you start your Unreal Engine takes long (~10min) because it needs to build some shaders - be patient!\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 5. Extras"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### add a menu entry to the start menu of the Xpra desktop  \n",
+    "Howto create your own UnrealEngine entry to the start menu is defined for Linux by FreeDesktop.org  \n",
+    "https://specifications.freedesktop.org/menu-spec/menu-spec-1.0.html\n",
+    "  \n",
+    "<div class=\"alert alert-block alert-info\">\n",
+    "<b>ATTENTION:</b>\n",
+    "The standard JSC start menu in an Xpra session through Jupyter-JSC adds desktop entries with the Categories=UserApplications to its own submenu\n",
+    "</div>"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create applications directory (if not existent)\n",
+    "XDG_APPLICATION_DIR=${HOME}/.local/share/applications\n",
+    "mkdir -p ${XDG_APPLICATION_DIR}\n",
+    "\n",
+    "# create desktop file\n",
+    "{ cat > ${XDG_APPLICATION_DIR}/UE4Editor-${UNREAL_TAG}.desktop; } << 'EOF'\n",
+    "[Desktop Entry]\n",
+    "Name=UE4EDITOR_NAME\n",
+    "GenericName=UE4EDITOR_NAME\n",
+    "Comment=3D development environment UE4EDITOR_NAME\n",
+    "Exec=xterm -hold -e 'UE4EDITOR_STARTSCRIPT'\n",
+    "Terminal=false\n",
+    "Type=Application\n",
+    "Encoding=UTF-8\n",
+    "Icon=unrealengine\n",
+    "Categories=UserApplications;\n",
+    "Keywords=visualization;\n",
+    "X-Desktop-File-Install-Version=0.23\n",
+    "EOF\n",
+    "\n",
+    "sed -i 's#UE4EDITOR_STARTSCRIPT#'\"${UNREAL_ROOT}/run_UE4Editor-${UNREAL_TAG}.sh\"'#g' ${XDG_APPLICATION_DIR}/UE4Editor-${UNREAL_TAG}.desktop\n",
+    "sed -i 's#UE4EDITOR_NAME#'\"UE4Editor-${UNREAL_TAG}\"'#g' ${XDG_APPLICATION_DIR}/UE4Editor-${UNREAL_TAG}.desktop"
+   ]
+  }
+ ],
+ "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
+}