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  1. {
  2.  "cells": [
  3.   {
  4.    "cell_type": "code",
  5.    "execution_count": 1,
  6.    "metadata": {},
  7.    "outputs": [
  8.     {
  9.      "data": {
  10.       "text/plain": [
  11.        "7"
  12.       ]
  13.      },
  14.      "execution_count": 1,
  15.      "metadata": {},
  16.      "output_type": "execute_result"
  17.     }
  18.    ],
  19.    "source": [
  20.     "3 + 2 * 2"
  21.    ]
  22.   },
  23.   {
  24.    "cell_type": "code",
  25.    "execution_count": 2,
  26.    "metadata": {},
  27.    "outputs": [],
  28.    "source": [
  29.     "name = 'Lizz'"
  30.    ]
  31.   },
  32.   {
  33.    "cell_type": "code",
  34.    "execution_count": 3,
  35.    "metadata": {},
  36.    "outputs": [
  37.     {
  38.      "name": "stdout",
  39.      "output_type": "stream",
  40.      "text": [
  41.       "Li\n"
  42.      ]
  43.     }
  44.    ],
  45.    "source": [
  46.     "print(name[0:2])"
  47.    ]
  48.   },
  49.   {
  50.    "cell_type": "code",
  51.    "execution_count": 4,
  52.    "metadata": {},
  53.    "outputs": [],
  54.    "source": [
  55.     "var = '01234567'"
  56.    ]
  57.   },
  58.   {
  59.    "cell_type": "code",
  60.    "execution_count": 5,
  61.    "metadata": {},
  62.    "outputs": [
  63.     {
  64.      "name": "stdout",
  65.      "output_type": "stream",
  66.      "text": [
  67.       "0246\n"
  68.      ]
  69.     }
  70.    ],
  71.    "source": [
  72.     "print(var[::2])"
  73.    ]
  74.   },
  75.   {
  76.    "cell_type": "code",
  77.    "execution_count": 6,
  78.    "metadata": {},
  79.    "outputs": [
  80.     {
  81.      "data": {
  82.       "text/plain": [
  83.        "'12'"
  84.       ]
  85.      },
  86.      "execution_count": 6,
  87.      "metadata": {},
  88.      "output_type": "execute_result"
  89.     }
  90.    ],
  91.    "source": [
  92.     "'1' + '2'"
  93.    ]
  94.   },
  95.   {
  96.    "cell_type": "code",
  97.    "execution_count": 7,
  98.    "metadata": {},
  99.    "outputs": [],
  100.    "source": [
  101.     "myvar ='hello'"
  102.    ]
  103.   },
  104.   {
  105.    "cell_type": "code",
  106.    "execution_count": 8,
  107.    "metadata": {},
  108.    "outputs": [
  109.     {
  110.      "data": {
  111.       "text/plain": [
  112.        "'HELLO'"
  113.       ]
  114.      },
  115.      "execution_count": 8,
  116.      "metadata": {},
  117.      "output_type": "execute_result"
  118.     }
  119.    ],
  120.    "source": [
  121.     "myvar.upper()"
  122.    ]
  123.   },
  124.   {
  125.    "cell_type": "code",
  126.    "execution_count": null,
  127.    "metadata": {},
  128.    "outputs": [],
  129.    "source": []
  130.   }
  131.  ],
  132.  "metadata": {
  133.   "kernelspec": {
  134.    "display_name": "Python",
  135.    "language": "python",
  136.    "name": "conda-env-python-py"
  137.   },
  138.   "language_info": {
  139.    "codemirror_mode": {
  140.     "name": "ipython",
  141.     "version": 3
  142.    },
  143.    "file_extension": ".py",
  144.    "mimetype": "text/x-python",
  145.    "name": "python",
  146.    "nbconvert_exporter": "python",
  147.    "pygments_lexer": "ipython3",
  148.    "version": "3.6.7"
  149.   }
  150.  },
  151.  "nbformat": 4,
  152.  "nbformat_minor": 4
  153. }
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