lec1_installing_jupyter_notebook.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Jupyter Notebook"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Objective\n",
    "\n",
    "   - Install Jupyter Notebook and be able to open it for later use\n",
    "   - Be familar with the syntax and shortkeys"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Installation\n",
    "\n",
    "* Using Anaconda command line installer (***UPDATED ON 06-28-2020***)\n",
    "   1. Go to https://www.anaconda.com/products/individual and choose the command-line install for your OS       \n",
    "   2. Go to https://docs.anaconda.com/anaconda/install/mac-os/ and scroll down to follw the instruction titled \"Using the command-line install.\" (***For Mac users***)\n",
    "* In the terminal type:\n",
    "    * Using Python\n",
    "        * Python 2 (will be defunct soon)\n",
    "        * Python 3\n",
    "            1. `pip3 install --upgrade pip`\n",
    "            2. `pip3 install jupyter`\n",
    "            3. If installation was successful type: `jupyter notebook`\n",
    "            \n",
    "Alternatively, you could get by using Binder: https://mybinder.org/v2/gh/dophos/stat_computing_seminar.git/master\n",
    "\n",
    "### Make R kernel available for Jupyter Notebook\n",
    "1. Install R package, IRkernel. `install.packages(\"IRkernel\")`\n",
    "2. Start the R from the terminal and type `IRkernel::installspec()`\n",
    "\n",
    "### Install Julia (sometime before Intro to Julia session)\n",
    "* Follow the instruction in Section 1.3 at https://www.softcover.io/read/7b8eb7d0/juliabook/introduction"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Markdown syntax\n",
    "\n",
    "* Press `M` to enter markdown mode\n",
    "* Best learned as you document your own project or meeting note by googling as needed. But here are things that are often used.\n",
    "\n",
    "### Bullet points\n",
    "\n",
    "   * bullet point 1\n",
    "   * bullet point 2\n",
    "       * bullet point 21\n",
    "       * bullet point 22\n",
    "           * bullet point 221\n",
    "           * bullet point 222\n",
    "           \n",
    "### Numbered lists\n",
    "\n",
    "   1. one\n",
    "   2. two\n",
    "   \n",
    "### Emphasis\n",
    "   * Bold: **string** or __string__\n",
    "   * Italic: *string* or _string_\n",
    "   \n",
    "### Text for code\n",
    "   * This is an inline `code`.\n",
    "   * This is a code block:\n",
    "       ```\n",
    "       line 1\n",
    "       line 2\n",
    "       line 3\n",
    "       ```\n",
    "\n",
    "### Latex\n",
    "   $x + y = 2$"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Code Block\n",
    "\n",
    "* Press `Y` to enter code mode"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### I am sampling from normal distribution 100 times, and making a histogram."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
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dGiRePGjb/++uu0TQkAkA4ZfLuT5BUS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\nHQBAIIQdAEAghB0AQCCEHQBAIP4FW1A4SjgnGmIAAAAASUVORK5CYII=",
      "text/plain": [
       "Plot with title “Histogram of d1”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d1 <- rnorm(100)\n",
    "hist(d1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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DsAgEgIOwCASAg7AIBICDsAgEgIOwCA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\n7AAAIoQdAEDEAJ86D18r0067AAAAAElFTkSuQmCC",
      "text/plain": [
       "Plot with title “Histogram of d2”"
      ]
     },
     "metadata": {
      "image/png": {
       "height": 420,
       "width": 420
      }
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "d2 <- rbeta(100,1,1)\n",
    "hist(d2)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "R",
   "language": "R",
   "name": "ir"
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