example_python_in_jupyter.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<div style=\"background: #efffed;\n",
    "            border: 1px solid grey;\n",
    "            margin: 8px 0 8px 0;\n",
    "            text-align: center;\n",
    "            padding: 8px; \">\n",
    "    <i class=\"fa-play fa\" \n",
    "       style=\"font-size: 40px;\n",
    "              line-height: 40px;\n",
    "              margin: 8px;\n",
    "              color: #444;\">\n",
    "    </i>\n",
    "    <center>\n",
    "    Click into a code cell (the gray blocks below) to select or edit it.<br/>\n",
    "    To run a selected code cell, hit <pre style=\"background: #efffed\">Shift + Enter</pre>\n",
    "    Make sure that each code cell runs successfully before you move on to the next one.\n",
    "    </center>\n",
    "</div>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# $\\LaTeX$ Math\n",
    "This is just markdown that can include latex math.\n",
    "\n",
    "\\begin{align}\n",
    "\\dot{x} & = \\sigma(y-x) \\\\\n",
    "\\dot{y} & = \\rho x - y - xz \\\\\n",
    "\\dot{z} & = -\\beta z + xy\n",
    "\\end{align}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# System Info"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# load IPython library for comprehensive system info\n",
    "import IPython\n",
    "print(IPython.sys_info())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Custom Function"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# custom function from scripts/functions.py\n",
    "from scripts.functions import test_add\n",
    "test_add(2, 5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# create dataset using pandas and numpy\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "curve = pd.DataFrame(np.arange(0.0, 2.0, 0.01), columns = list('t'))\n",
    "curve['y'] = 1 + np.sin(2 * np.pi * curve['t'])\n",
    "curve[1:10] # first 10 rows"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# plot using pyplot\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['figure.figsize'] = [8, 6]\n",
    "plt.plot(curve['t'], curve['y'])\n",
    "plt.show()"
   ]
  }
 ],
 "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": "3.7.7"
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 "nbformat": 4,
 "nbformat_minor": 4
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