JupyterHub Tutorial.ipynb

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    "# Tutorial\n",
    "\n",
    "(Tutorial adapted from https://raw.githubusercontent.com/aparrish/rwet/master/jupyter-notebook-tutorial.ipynb with some modifications)\n",
    "\n",
    "Jupyter Lab gives you a convenient way to experiment with Python code, interspersing your experiments with notes and documentation. You can do all of this without having to muck about on the command line, and the resulting file can be easily published and shared with other people. \n",
    "\n",
    "## Text cells\n",
    "\n",
    "Make a new cell, change its type to `Markdown`, type some stuff and press `Shift-Enter`. Jupyter Notebook will \"render\" the text and display it on the page in rendered format. You can hit `Enter` or click in the cell to edit its contents again. Text in `Markdown` cells is rendered according to a set of conventions called Markdown. Markdown is a simple language for marking up text with basic text formatting information (such as bold, italics, hyperlinks, tables, etc.). [Here's a tutorial](http://markdowntutorial.com/). You'll also be learning Markdown in more detail in the Foundations course.\n",
    "\n",
    "## Code cells\n",
    "\n",
    "You can also press `Shift-Enter` to render the current cell and create a new cell. New cells will by default be `Code` cells. Try it now!"
   ]
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   "outputs": [
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     "text": [
      "This is a code cell.\n",
      "\n",
      "Any Python code you type in this cell will be run when you press the 'Run' button,\n",
      "or when you press Shift-Enter.\n",
      "\n",
      "If the code evaluates to something, or if it produces output, that output will be\n",
      "shown beneath the cell after you run it.\n"
     ]
    }
   ],
   "source": [
    "print(\"This is a code cell.\")\n",
    "print(\"\")\n",
    "print(\"Any Python code you type in this cell will be run when you press the 'Run' button,\")\n",
    "print(\"or when you press Shift-Enter.\")\n",
    "print(\"\")\n",
    "print(\"If the code evaluates to something, or if it produces output, that output will be\")\n",
    "print(\"shown beneath the cell after you run it.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "If your Python code generates an error, the error will be displayed in addition\n",
      "to any output already produced.\n"
     ]
    },
    {
     "ename": "ZeroDivisionError",
     "evalue": "division by zero",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mZeroDivisionError\u001b[0m                         Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-2-1ebad54fe81d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m      2\u001b[0m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"to any output already produced.\"\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m      3\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 4\u001b[0;31m \u001b[0;36m1\u001b[0m \u001b[0;34m/\u001b[0m \u001b[0;36m0\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;31mZeroDivisionError\u001b[0m: division by zero"
     ]
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   ],
   "source": [
    "print(\"If your Python code generates an error, the error will be displayed in addition\")\n",
    "print(\"to any output already produced.\")\n",
    "\n",
    "1 / 0"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Any variables you define or modules you import in one code cell will be available in subsequent code cells. Start with this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import random\n",
    "stuff = [\"cheddar\", \"daguerrotype\", \"elephant\", \"flea market\"]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "... and in subsequent cells you can do this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "flea market\n"
     ]
    }
   ],
   "source": [
    "print(random.choice(stuff))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Keyboard shortcuts\n",
    "\n",
    "As mentioned above, `Shift-Enter` runs the current cell; `Alt-Enter` runs the current cell and then creates a new cell. `Enter` will start editing whichever cell is currently selected.  If the cursor isn't currently active in any cell (i.e., after you've hit `Esc`), a number of other keyboard shortcuts are available to you:\n",
    "\n",
    "* `m` converts the selected cell to a Markdown cell\n",
    "* `b` inserts a new cell below the selected one\n",
    "* `x` \"cuts\" the selected cell; `v` pastes a previously cut cell below the selected cell\n",
    "* `h` brings up a help screen with many more shortcuts.\n",
    "\n",
    "## Saving your work\n",
    "\n",
    "Hit `Cmd-S` at any time to save your notebook. Jupyter Notebook also automatically saves occasionally. Make sure to give your notebook a descriptive title by clicking on \"Untitled0\" at the top of the page and replacing the text accordingly. Notebooks you save will be available on your server whenever you log in again, from wherever you log into the server.\n",
    "\n",
    "You can \"download\" your notebook in various formats via `File > Download as`. You can download your notebook as a static HTML file (for, e.g., uploading to a web site), or as a `.ipynb` file, which you can share with other people who have Jupyter Notebook or make available online through, e.g., [nbviewer](http://nbviewer.ipython.org/).\n",
    "\n",
    "# Packages\n",
    "\n",
    "The following third-party Python packages are installed in the CPU JupyterLab distribution:\n",
    "\n",
    "- numpy\n",
    "- matplotlib\n",
    "- pillow\n",
    "- requests\n",
    "- aiohttp\n",
    "- pwntools\n",
    "- tensorflow\n",
    "- sklearn\n",
    "- torch\n",
    "- beautifulsoup4\n",
    "- scipy\n",
    "- pandas\n",
    "\n",
    "# Shell Access\n",
    "\n",
    "You have full shell access to the server (click on the plus sign and choose a new terminal session), so please be respectful and don't do anything disruptive. There are other people using this server as well."
   ]
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