Coursera Tools for Data Science Week 4 peer-graded assignment by Lucas

Jupyter_Notebook_peer_graded_test_Lucas_Pinto.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center>\n",
    "    <img src=\"https://s3-api.us-geo.objectstorage.softlayer.net/cf-courses-data/CognitiveClass/Logos/organization_logo/organization_logo.png\" width=\"300\" alt=\"cognitiveclass.ai logo\"  />\n",
    "</center>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Add your code below following the instructions given in the course\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h1>My Jupyter Notebook on IBM Watson Studio</h1>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p><strong>Lucas Silva Pinto</strong><br>\n",
    "Current occupation: lawyer.<br>\n",
    "Desired occupation: data scientist.</p>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p><em>I am interested in data science because I like programming, math and statistics. Also, I value data science as a tool to fight against the spread of misinformation and disinformation is society.</em></p>"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<h3>In the following code cell, I wrote in Python programming language a command to perform one plus one addition and print the result.</h3>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2\n"
     ]
    }
   ],
   "source": [
    "print(1 + 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<p>horizontal rule:</p>\n",
    "<hr>\n",
    "<p>bulleted list:</p>\n",
    "<ul>\n",
    "    <li>first bullet</li>\n",
    "    <li>second bullet</li>\n",
    "    <li>third bullet</li>\n",
    "</ul>\n",
    "<p>numbered list:</p>\n",
    "<ol>\n",
    "    <li>first numbered item</li>\n",
    "    <li>second numbered item</li>\n",
    "    <li>third numbered item</li>\n",
    "</ol>\n",
    "<p>strikethrough:<br>\n",
    "<strike>This is stricken through text.</strike></p>"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python",
   "language": "python",
   "name": "conda-env-python-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}

Whoever have reviewed my assignment, feel welcome to leave a commentary here just for socializing! Thanks!