From 52a3e0f2b5a00e5967e1630f2034d9f82436942f Mon Sep 17 00:00:00 2001
From: Jens Henrik Goebbert <>
Date: Tue, 22 Jun 2021 19:52:46 +0200
Subject: [PATCH] add new faq

---
 ...wto-load-additional-software-modules.ipynb | 233 ++++++++++++++++++
 1 file changed, 233 insertions(+)
 create mode 100644 001-Jupyter/FAQ_Howto-load-additional-software-modules.ipynb

diff --git a/001-Jupyter/FAQ_Howto-load-additional-software-modules.ipynb b/001-Jupyter/FAQ_Howto-load-additional-software-modules.ipynb
new file mode 100644
index 0000000..7e10c61
--- /dev/null
+++ b/001-Jupyter/FAQ_Howto-load-additional-software-modules.ipynb
@@ -0,0 +1,233 @@
+{
+ "cells": [
+  {
+   "attachments": {
+    "67258d94-84e6-4a0c-ae8f-c74332ec082e.jpg": {
+     "image/jpeg": 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B/ZLMQqjiSe6m2ds982/82YfT8h5dMUci6biX5WTyJ7vZ0B7meO3QnGqVgoreW80c8fLXG2ofsB43WRDyZTkfO7X9ev8ATXo6t1hN9nTjz8M8s+VPC0/yiHSwCscH2VMElVjCdMgH0TjNJruMawGU6W455VHqnxvF1r2W5cvCoXa4XTMMxlctqH5UJYm1IeRxj5vrEGz+vW4Hb0SYZPyxxFfIbOjQ+LyFv7Vpurg7r/CTsp7OmPaW0o9JXtQ27c/xN/bp2OsQiaQ3fATDs/w351s62nuYtlxSiQzT22FXUOQGrl/tWwEN01r1iCWWbQgy+kpjnyzn31uXvC8bT7pY4ypA7PJk9IeOrlUe92l+8PNMj7P0Z0hc4815Dieea2Hi5d4Lt5o2gIGlcamGPZWzLZroG5a+mjmi4atI14BHsqC6N67q+02tDAQNGjJ99Nbi7dTFfAaN6iJuhg40+kTRgkvDIjzMixxlSAMcmX0lP2uVXr2+02uoYUcR28joWlccyABnSOVTM9zvc2ZmcGRWMcnkAOyOfA+FbPjmvpZhf7P3zEhew/Z4rw+1UXVb9us9ZSIlsNusyYxioIbi9O4NnId5Nga5AR78VsKPr0sJuLFpZXjC5ZsL5edbIknumnF/bPI6FQFUjGNPt6Nr+vX+mvQLS6xJcCUq9r/ML6/D35raAO0ra3j63xgkA1Hsr36v0ram0YgTondJ0Xm0ekcfvXn7a2B+O2+FObIRNKLLOmXPHtmtkyQ7Qit95DO5lnQYyWUkYyMcfhSMJkuOH8SP0T840m6NrOf5kHDP3jlXyO0kK/8Aci4/Gv3jaQ0+EUX9zQkhg3k4/nTdpvy8P2BkZxWl1Dr4MM0DjiK3mhd5y1Y40X0jWebY40OyOHLhyrXoXX9bHGvRHPPLvrWZ5dzv+s7ns415zzxnn51vNC7zlqxxrUsaK3iFptKKNXFsDnQwo4cBR7C8Tk8KGpQ2OIyKGFHDgOFDCgY5cOXReylgRPIHA8OyB+nRvNC7zlqxxrU0SM3iVrlQGOArPfWGjVh5itKKFHgPmv/EACgQAQABAwIFBQEBAQEAAAAAAAERACExQVEQYXGBkSAwobHw0cFA4f/aAAgBAQABPyGhC9ZA3WmcFD4Xr4FIPypSasZaWLgR2exhlvEq8Ad0q1c8CG0QwzNEkkMSSSNvdKSLiEJvW6/4lWHZgC6tbACpZ+Q068I3LLzT/JI70IgAQBpwtXJGWvL3A7ZoZOOb3HYEwU1CZMAsaVew2wejdmi7It6ZqWahwqUFIJZEFFAhsCq50voLIsgM268AkTogEGvWsk8eAEw1YByYXRNbozSkkxDB1LPigfyakKjcpp2ztMTMSUaPATUlbeATofRPWYnrLX3mnI+ANxQ0Cd65/CTKNGZbYV6b7DHkqdKUdIrLEBZNyo4KJYQsfPz7a15amoy9zxZoF2C78w7PB4bhHWMHdgqTQDapLT+peJYJ8VuL9DdX7u+v1Nq+F+uBT93f0T+VrBgi63KJdNSLEF2l+KeL6uUXJYmLjQb0YCtqwST3pSn0ME8tGZNLw9a/E5cZ+hSNpxNJ8m8IKc2GptGtXukZk+RkjoZo6dgVhtQQKtzB2lD5Wcl7KXnSbIGxCWFqG9GS5kUYUs4fL20/smSihHSB88AGj1h/m7TJAIev3FeGhK3X+rgS++QQ8Aw3RFJRKnRqC0s7lf3d9NaiA8r/AMpEoFHe1fHNyE/Vfu7+ifyIGUwUQ4GNyL/soJd4Bi8YLt2kIFCd0xgbNAvmCUXmsAdNP6nL0Tz0MxPQj5EROtCTprZy0J1VAiWVCgYvjYovXMlpzJmGnOa8jYLs3WKINMAvrZaF4vF7UOZlMl3OoMzEa1K9eQSiNLIztepPpqjinY51fo6lMwyNJ1inu61wKN7NJrUxEjhfMT4qdyr0aLbyrU4OoOQL89KmnrLsfNvDh0nirw7uz4eKjw2EptpXjlwQix6AGVpZ1KG6WvLPfhJRCHmpfRwQwrV5I7kvbnUOQnELDRMVMbqlm4g82Ve1TV4LzJ1DNtZpm8wCWAFNOY0kwLD0oyBLnLRktOricwUwHqPEGXkKxh1IJL2WoUaYBHkFMetNncJSR7p2T/wbNJnJSQML/rFbr4ZIgO8GvWpwHmyDMxERRRBKr6oeEw6Y1TjPahF5PGcl0oHQvFM5wZBRwsM72lNJegobUK63hpzWs3irrcLeazQ49ACTZ+pJqz4QvBkkW7KNJY7qbICCdXa0Jp2Si6TAyEzC7FSLiqmBz5rykVeBDJQnHRigMguwIIIkCM4zin2RTyQK9Jp6m+uyEQp9chrjC7Eu4mlTkncspNmwdn0m/eTgG61IqWPy+516ZrLBd2KkvBHkI7AHnhDxhSHaWrvwYOQ0k4wVibASXjPrgKESzJ657I952P2Lprl9qULKQ1KkWHS+IezNLQYMMEzBC80+3QF5ndGF96dcYTARKQdyn9S5Fgxhv7ZgE5M5651DFIjQwzwFAZbZ+QZ7zwBABVsBrTImQGWgfXc8bgktL2BQqiYgwuGQrfNlJEnmSgAwS6UFYw3jdNBJwrhU5Y9CFW4LAk0WNSrCY8tKRJmb73mvjMgYkFuusBLOdzSYQXmr+dEEUmvXs9KDczv0xoAicl3Kwm8aBABLN76ZKudCakFoMvlTbIECRi2ZWZxUsu62Utw2Zh3ogANg2NgLjY8U34LQSFuouqutwuR0CSym7xntFuZRJbRJzmOVeaufY8uehE0iEJyZXZqjDkjWrBOhZ5K0Gl2xAhIqMjB4p55gm02lUk+gxyllIXXn7jtuFUm3yKCtoiHwpEvcB5/wrQ1RIPp2HoRQJSSYa1E5AFTwEEDFyuUjDt2mgSYwAkdaDEGcw+CgGJjLDLvVmMOi7utJ5MVHcGlyj6UCyCJRyNpp006QfNNNF2Anu70qwRsGDYqPsCXd6yL9iYd6scRsYGxWOliGDlwOguC4I7wbMDCs2mmaZpFoKYBN22axhoEYrSiyJi9ABRUDYo0B4GD2v//aAAwDAQACAAMAAAAQupSd8/0X33x43T9Ry388888xu4pxcpAarw/cCWZjX1w34wffHrtqRCtoBlUCXonEwTiCM7Ohm4qmHTgPF5F7Ok+88888/8QAJxEBAAIBAgQGAwEAAAAAAAAAAQARMSFBUaHR8BBhcZHB4SCBsfH/2gAIAQMBAT8QyUXBE6hbggQFuJh4afAanVxLUVBqb3tBUkuVYhhLGDodSVmjKi1XiPBS4jT1Phigtg6CebBHH5HXcVpGdmn9QENpQFgy2ickzA8z5nNv8nIRIpwP5GaM3b9whqg6a5/c3xXG5zvwwKhSmvt3UqlYd9IDQ99s0ruGEzPrNSr8B6BlIKIoJoZ9YnCwnxQAWwovaWT25reJXzv6xaio22h3UDahMkXKh6QUGo534YTVtd99II3V9wKzH1+/ODiaa17Mq7ygFOsMpeelRrdqv66eDIKnjNTUeVHLSK7E7wPgi1uz/OnOBN8Xn1gAOzTpzggC0PcXBBeEGAMK5fuAbe2nR94VQ2fhjqzzPeOnO9zCr4Tsen5f/8QAJxEBAAIABAUEAwEAAAAAAAAAAQARITFBYVFxocHwEJGx0SCB4fH/2gAIAQIBAT8Qr5gGbENiuMuAVcDRzLPRaDAzlKq1w4VrFCMGS44Ckg1GDlLhalxTLOHBYZwjyO5EVEEtm3ETP8luLbmD3H4Tej4huw1TbOsO06D6nTk6uETePeAxZVR/IkjZMdppluHOdJ3IhaLjZ8Hxl2vN59xG08P8mLVRHMm3BMQ9F7YloLYAli5coaa4HZ0VThzlEUGV6QKGWnKHtm3WLVQlAkZMHK0VFCLjpO5GLovzz7iZer+S6nPy5bbRc5w+T3ljTLz4l1wYRUNeXcL1S6/v36ECLOEw1Zvb1xhut6n0BBqx7/fSKlcFafUUV8Y7b9IpVpGnDRXmEXdEuNw5r4a/rSLCdm+257RAB4dyGKeftKjYaVCjdcesAZfl/8QAJRABAQACAgIBBAMBAQAAAAAAAREAITFBUWEQcYGRoSAw8LHx/9oACAEBAAE/EMavkMFyhAPbj1rMqeXH7QPTlGMU1Z4Wr9ZMI/YTT9ip8r/R5rtHABSqAqG94zyVeSCbNEGzdswKnlTwSkRL7o6/seMIYSREBTytfM6+b/fAybBih0ALnkqQq4D2vK6E1s5MAxCBeaP1+4GDfEFAGgDFguB+OfzKfhId2HomESIjwnyUwBSpVIVk3iLY1MWi2InfnC3JHhgACQBpEZGlxg5niIVZsAN6hJlCA/jCyAQN6LDIk9hFDaADbmoJbSgLREP7+OZlFmAWVXp4yUSRgwIKUs1ipAlkhBoCI02jciZ9xGZ9Eh5hfWChq+3wif7rNSg+7D7ADzN5cWpTbAuIUIMoKIiKNzr5BjdP4ABNeQw984Ug46wMApqLulqDhddqhorWorT0mTBbFFGDZg5VIOZKMs6DKGg1aI2tgKmiBNYOaNvo9/1qzlTG7vSV5BO8P3jkOYnTY4b6r4IFAlEsflge3PKVdEL+VzT8FJwp+v61fynZQv8AI8PjR/tef8NVjd4O4FGP1QxH3SIgF2JFnUEuairmSAe4IjSXbmnGBg0jiBGtr3g1GPEXU0HtxAFGBv2z/m+M9fAMsmhDNEavq4e+8UlkM84EAdkNNCZ0ZBu8ACjokbzupZNDtizW9ZPqb7lsKQIoEjHDDtB7dpJLoDK4dj44fgTipQ6bX+vSGl8ChtXEdC6wRBoj2YTxDKp2+AbTQCuEaGiU/aT7/CjhOXRtH1t+/AmCNUBdDP8An9Pissb9oAQ8BXWGkHvQiR/CfEUD6SdgC/lfjAJg1wEImOHmhyv/AAK/Gf7Xnjyq/FiNxfkaxEZeYkdPp+zCQCXCQABRAAFVy22LhFdbr0XjHFNQgNBtNdYiGER4C+M/3fGevgGsMgOlhcNNiEMOAVMCu+gntQZB51gdck8FqpsURwo0eGydHAY+mMgGutTCu+C67xLmhroIaCNqqBRMaTdHYAooLWZEaq8aXtgdslGxQFEcR/MGioHDNrRTzhhKoz7oUKi4OVAuVqhFiTl0hE5w1GeScNPDQmlGaorhoFK3diprznkT5XToDmPeM8BvFY7mgMCkdFGmJTE6TVZNVFK+QXFX3Yyg6PRD18FhIMKqHgAVcQ6B55pHh2Z5fw2g6Pph+Pz+/gvyUWkX2UJ2mmyPFd6MQLTQOBQiuEUhSW4QyxBxpyOGYcIFDY6XQuDDYCUZOK82QY0UEN6whTmohFOgY5IMhtewAJDsCwpvHH6DVodg1qxCNi2CsDog2+u8uamYCitGbjgWogApENmnY4nCldLRDoHZEQdOjkKMnUXUHegJZoxAL6NhKdNXkqNTCowhj9/YDbJirgYHK1i/wxWyCAt1M6+AfDFVON6ogbCK0NsDa7kxk9FtRehqjw6Y6ZARxwCfbFj7G6sGUdoj3twu1yAonEkNGzDUZzxbbSXbqAD5gpeAJxYr42ksHtj2mZCHBEABROEzo1yOV2v/AKnw29jA6FQLsukHhxtLRhJdABGlRXEsdLWGJxwV1s84I7CFiQNoIobBHFn9oYS/l3iF44cvERXahBYzS7hx/BScxphVGgDtx9VTUJfqbn4JywYCQKMAqvgO3KADdqIJ9ZHn4C2BEhWFBYLPTlLV5otWlKUuaMY40ur57yxs9KqUCjER9iYx7/eQ8v5wAeX84g9/vCec094cCB6w0gnY3IXn95TzgB3+8ePgG8ZOBNuFlHEPr7DIEAE1hDIMbnVMaZqhiQ8mr2MAyTqaKyIIgN9YSNXOI0xQhKDjAAv3fFSEF6WY8xwrtFpBseTJMmTIf5yZMmT6/n5QKpYP34ZzsjZN41rkGT5235xFT6d6pRudL+DrnAKp4A7fWHoRoTmhxOU3ZCBgQ+JHguNRNhJZO5grRr5dqBHFuMEnUkFkJQUNIBsSnDh569oGtCEBxTGj40ASqVaTeCJsSkCwkoJUPRDE+vZmaCKQowgGu8H0ZGEcQ2sdREcjkzaJEFYaG9KcUgfcm3UuLaGiTeXrMKCVDNWqwOCQxIoHk4Rko5iwlrlnCxQmoFD5MRqCU/RBLRtXRBMdRglJ0QsBFOFlCqHn9SbJhGpq4sGc08ghQBBW6zr4B8fuY26mSdQNUQ1HEXEE8E5tFSeBtJ3nHBqs0OwOxK2Mb7StDjrHILUR1hRK62e8NDwOe8AFlsDduEs/A5lGEOqnF/rS4xOG4Psil2sF84ypnU49rD9gxIKOXX+IYcF2lfmg+oT7wJ83wSwWEp4Yu/eI0REwpsYiaxRXYsQZQehh+DFAnMnB9LZ6uAL4UC4GKh4XCljCBTRdNLXjy4E2IFAILFUFPpkgCIDg5dfy5xxHhIpI05aPTww/Jwh5qbPVwsxIut50LvEQJS4aYm3tx4HVE4+jRo0eMNSEoavha26N85xGnQNwKafZjCTVALS6NGjR4zkuU4pyQaNGjHjHn0aFbTlVuuk+Fw2ha36Gz1cfMAq7ONpcF3CwBXFfOeIaySOIdTPxNLS2XxgGdK6WqCcrzleFRyu2Br+r/9k="
+    }
+   },
+   "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": [
+    "# How to load additional software modules?\n",
+    "\n",
+    "[lmod](https://lmod.readthedocs.io) provides on our HPC systems a convenient way to dynamically change the users’ environment. This includes easily adding or removing directories listed in environment variables like PATH or LD_LIBRARY_PATH.  \n",
+    "It is a common approach on high-performance clusters to manage/install/load software packages in multiple versions/optimizations/architectures on the same machine.  \n",
+    "If you login to a terminal you can easily load additional modules with `module load <name>`\n",
+    "(for more details please read our [documentation on software modules](https://apps.fz-juelich.de/jsc/hps/juwels/software-modules.html)).\n",
+    "\n",
+    "But how can you make use of these installed software modules in a Jupyter environment?\n",
+    "\n",
+    "-------------------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Introduction\n",
+    "\n",
+    "### The classical approach in the terminal\n",
+    "If you want to use functionality of a certain software module it can mean that you need  \n",
+    "* the path to its executables to be in the PATH environment variable.\n",
+    "* the path to its libraries to be in the LD_LIBRARY_PATH environment variable.\n",
+    "* the path to its python packages to be in the PYTHON_PATH environment variable.\n",
+    "* or any other software module specific environment variables to be set. \n",
+    "\n",
+    "In any case, running `module load <name>` in a terminal would ensure exactly that.  \n",
+    "It modifies the environment of the current shell, which ensures that you can use the software of the loaded modules.  \n",
+    "\n",
+    "**But with Jupyter this is a bit different.**  \n",
+    "\n",
+    "-------------------------------"
+   ]
+  },
+  {
+   "attachments": {
+    "d71d97ef-6b8d-43de-98fc-c50c9f942bc3.png": {
+     "image/png": 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"
+    }
+   },
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "### Why is Jupyter different when it comes to loading of software modules?\n",
+    "\n",
+    "#### Jupyter's architecture\n",
+    "To understand how we can make additional software modules available in our Jupyter notebooks, we need to understand the basic software architecture of Jupyter first.  \n",
+    "![grafik.png](attachment:d71d97ef-6b8d-43de-98fc-c50c9f942bc3.png)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Let's skip the pink box for now, as it is only relevant if we want to discuss authentication and authorization with Jupyter-JSC.  \n",
+    "Hence, the pink box can be a \"black box\" for now.  \n",
+    "\n",
+    "Just focus on\n",
+    "- **JupyterLab** (JavaScript/HTML in the browser) - the front-end\n",
+    "- **Jupyter Notebook Server** (Python on the hpc cluster) - the back-end\n",
+    "- **JupyterLab Kernel** (any language the kernel is made for)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "JupyterLab is made of a **front-end** running in your browser using JavaScript+HTML. This is the actual user interface - one could say that its purpose is nothing else than making JupyterLab visible to you.  \n",
+    "and a **back-end** running on any machine your browser can connect to. That can be the same machine the browser runs on, it can be a cloud server or -in our case - the hpc cluster.  \n",
+    "\n",
+    "The actual code of a Jupyter notebook is executed in a **separate process** called Jupyter Kernel running in a complete **separate shell**  \n",
+    "and communicates with the Jupyter Notebook Server through a Jupyter-specific messaging protocol.  \n",
+    "\n",
+    "<div class=\"alert alert-block alert-info\">\n",
+    "<b>Attention:</b></br>\n",
+    "If you want to use a software module in your Jupyter Notebook, it must be loaded in the Jupyter Kernel's shell/environment.\n",
+    "</div>\n",
+    "\n",
+    "There are multiple ways to load software modules into the shell/environment of the Jupyter Kernel.\n",
+    "Prioritized by best approach, the options are as follows:\n",
+    "- create your own Jupyter Kernel\n",
+    "- use the lmod extension\n",
+    "- load the software module before starting JupyterLab\n",
+    "- (restart the Jupyter Kernel's process with new environment settings)\n",
+    "\n",
+    "--------------------------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Create your own kernel\n",
+    "\n",
+    "If the standard kernel do not provide all software modules you need for your work,  \n",
+    "you can create your own Jupyter Kernel and load the needed software modules before you start it.\n",
+    "\n",
+    "<div class=\"alert alert-block alert-success\">\n",
+    "<b>Solution \"own kernel\":</b></br>\n",
+    "The bottom line is that a Jupyter kernel is described by no more than a JSON file. There you will find the command call that starts the kernel.</br>  \n",
+    "This command call can easily be a script, which calls a few extra `module load <..>` before.\n",
+    "</div>\n",
+    "\n",
+    "A detailed tutorial on how to build your own Jupyter Python kernel can be found here:\n",
+    "- [using pip](https://gitlab.version.fz-juelich.de/jupyter4jsc/j4j_notebooks/-/blob/master/001-Jupyter/Create_JupyterKernel_general.ipynb)\n",
+    "- [using conda](https://gitlab.version.fz-juelich.de/jupyter4jsc/j4j_notebooks/-/blob/master/001-Jupyter/Create_JupyterKernel_conda.ipynb)\n",
+    "\n",
+    "It does not take longer than **a few minutes** and you are ready to go.\n",
+    "\n",
+    "-----------------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### lmod extension\n",
+    "The [lmod extension](https://github.com/cmd-ntrf/jupyter-lmod) allows user to load/unload software modules **before** launching kernels.  \n",
+    "You can find its UI in the left sidebar.\n",
+    "\n",
+    "A Jupyter Kernel copies the environment variables of the Jupyter Notebook Server to its own separate shell.  \n",
+    "The extension takes advantage of that and modifies the current environment of the Jupyter Notebook Server.\n",
+    "\n",
+    "<div class=\"alert alert-block alert-warning\">\n",
+    "<b>Attention \"lmod\":</b></br>\n",
+    "- you need to use the lmod extension <b>before</b> launching kernels</br>\n",
+    "- changes also affect the environment of the running Jupyter Notebook Server (this can have <b>side-effects</b>)</br>\n",
+    "- a Jupyter kernel can purge its environment and therefore <b>ignore</b> the environment variables of the Jupyter Notebook Server (module purge)</br>\n",
+    "</div>\n",
+    "\n",
+    "-----------------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Load software modules before starting JupyterLab\n",
+    "\n",
+    "As you already know from the description above on the lmod extention:  \n",
+    "A Jupyter Kernel copies the environment variables of the Jupyter Notebook Server to its own separate shell when it starts up.  \n",
+    "\n",
+    "Therefor, any software module loaded in the Jupyter Notebook Server's environment will likely be available through a standard Jupyter Kernel, too.  \n",
+    "If you have ensured that the extra software modules are loaded **before** JupyterLab is started.  \n",
+    "\n",
+    "**But** Jupyter-JSC hides the startup of JupyterLab - it loads modules and starts JupyterLab in the background.  \n",
+    "Luckily we allow you to modify this startup through the file `$HOME/jupyter/start_jupyter-jsc.sh`.  \n",
+    "\n",
+    "If Jupyter-JSC find the file `$HOME/jupyter/start_jupyter-jsc.sh` it sources this file instead of loading the default environment.  \n",
+    "Hence, you are free to load extra software modules there.\n",
+    "**Attention:** do not forget to load the needed Jupyter modules, too.\n",
+    "\n",
+    "```bash\n",
+    "module purge\n",
+    "module use $OTHERSTAGES\n",
+    "module load Stages/2020\n",
+    "module load GCCcore/.9.3.0\n",
+    "module load JupyterCollection/2020.2.6\n",
+    "\n",
+    "module load <...>\n",
+    "```\n",
+    "<div class=\"alert alert-block alert-warning\">\n",
+    "<b>Attention \"modify startup\":</b></br>\n",
+    "- the software modules are loaded <b>every time</b></br>\n",
+    "- any change needs a <b>restart</b> of your JupyterLab</br>\n",
+    "- running multiple <b>conflicting</b> environments is impossible</br>\n",
+    "- changes also affect the environment of the running Jupyter Notebook Server (this can have <b>side-effects</b>)</br>\n",
+    "- a Jupyter kernel can purge its environment and therefore <b>ignore</b> the environment variables of the Jupyter Notebook Server (module purge)</br>\n",
+    "- you do not use the default JupyterLab environment and therefore will not see any <b>updates and new features</b> coming in the future\n",
+    "</div>\n",
+    "\n",
+    "------------------------------"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "#### Restart the Jupyter Kernel's process from within the Jupyter notebook\n",
+    "\n",
+    "If you love to live dangerously, then you can also secretly change the environment of a running Jupyter Kernel's environment.\n",
+    "At least for Python there is a way to ask the current running Python interpreter to restart itself within a new/modified environment.\n",
+    "\n",
+    "Please check this howto for details: [tricks with os.execve](https://gitlab.version.fz-juelich.de/jupyter4jsc/j4j_notebooks/-/blob/master/001-Jupyter/Modify_JupyterKernel_at_NotebookRuntime.ipynb)\n",
+    "\n",
+    "<div class=\"alert alert-block alert-danger\">\n",
+    "<b>Attention \"os.execve\":</b></br>\n",
+    "- only works with Python</br>\n",
+    "- is more a hack than a solution</br>\n",
+    "- pollutes the beginning your Jupyter notebooks</br>\n",
+    "</div>"
+   ]
+  }
+ ],
+ "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
+}
-- 
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