00-setup.ipynb

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   "cell_type": "markdown",
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   "source": [
    "# Setup\n",
    "\n",
    "## Notebook objectives\n",
    "\n",
    "* **Introduction to JupyterLab**, a web-based IDE for interactive python.\n",
    "* Show how to **complete exercises**.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Introduction to JupyterLab"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**JupyterLab** is the web based interactive development environment for Jupyter Notebooks. Jupyter Notebooks are web applications for creating and sharing live code, visualizations, and text."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from time import sleep"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 603 µs, sys: 957 µs, total: 1.56 ms\n",
      "Wall time: 2 s\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "32"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%time\n",
    "\n",
    "def inc(x):\n",
    "    sleep(1)\n",
    "    return x + 1\n",
    "\n",
    "a = inc(10)\n",
    "b = inc(20)\n",
    "\n",
    "a + b"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**IPython** is the interactive shell for Python, powering JupyterLab and Jupyter Notebooks."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Hello World!'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "hi = \"Hello World!\"\n",
    "\n",
    "hi"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Keyboard Shortcuts for JupyterLab\n",
    "\n",
    "* `Shift+Enter` (`Shift+Return` in macOS) for executing a cell\n",
    "* `A` for inserting a cell above the current cell\n",
    "* `B` for inserting a cell below the current cell\n",
    "* `M` for switching to markdown\n",
    "* `Y` for switching to code cell\n",
    "* `Ctrl+S` (`Cmd+S` in macOS) to save the state of the notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Completing Exercises\n",
    "\n",
    "Every notebook has some exercises, that consist of:\n",
    "* a question\n",
    "* a blank cell where you write your answer\n",
    "* a hidden cell with the answer that can be opened by clicking on the elipses "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Question:** Write a Python function to add two numbers."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Your answer goes here"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "jupyter": {
     "source_hidden": true
    }
   },
   "outputs": [],
   "source": [
    "# Answer 1\n",
    "\n",
    "def sum(a, b):\n",
    "    return a+b"
   ]
  }
 ],
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