{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Function - Assingment" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## ex_01" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "13는 소수입니다.\n", "15는 소수가 아닙니다.\n", "2는 소수입니다.\n" ] } ], "source": [ "prime = [2,3,5,7]\n", "\n", "def check_prime(num):\n", " if num < 10:\n", " for p in prime:\n", " if num == 2 or num == 3 or num == 5 or num == 7:\n", " return 1\n", " else:\n", " if num % p == 0:\n", " return 0\n", " else:\n", " continue\n", "\n", " else:\n", " for bp in prime:\n", " if num % bp == 0:\n", " return 0\n", " else:\n", " continue\n", " return 1\n", "\n", "\n", "def main():\n", " a = 13\n", " b = 15\n", " c = 2\n", "\n", " if check_prime(a):\n", " print(str(a) + '는 소수입니다.')\n", " else:\n", " print(str(a) + '는 소수가 아닙니다.')\n", "\n", " if check_prime(b):\n", " print(str(b) + '는 소수입니다.')\n", " else:\n", " print(str(b) + '는 소수가 아닙니다.')\n", " \n", " if check_prime(c):\n", " print(str(c) + '는 소수입니다.')\n", " else:\n", " print(str(c) + '는 소수가 아닙니다.')\n", "\n", "\n", "if __name__ == \"__main__\":\n", " main()\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## ex_02" ] }, { "cell_type": "code", "execution_count": 39, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1,234\n", "12,345,678\n", "12\n" ] } ], "source": [ "def add_comma(val):\n", " a = []\n", " result = \"\"\n", " \n", " rev = str(val)[::-1]\n", " \n", " for x in range(1, len(rev) + 1):\n", " a.append(rev[x-1])\n", " if x % 3 == 0:\n", " a.append(',')\n", " \n", " res = a[::-1]\n", " \n", " for x in range(0,len(a)):\n", " result += res[x]\n", "\n", " return result\n", " \n", "def main():\n", " comma_added_1234 = add_comma(1234)\n", " comma_added_12345678 = add_comma(12345678)\n", " comma_added_12 = add_comma(12)\n", "\n", " print(comma_added_1234)\n", " print(comma_added_12345678)\n", " print(comma_added_12)\n", "\n", "if __name__ == \"__main__\":\n", " main()\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## ex_03" ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "['There', 'was', 'a', 'farmer', 'who', 'had', 'a', 'dog', '.']\n", "[('There', 'was'), ('was', 'a'), ('a', 'farmer'), ('farmer', 'who'), ('who', 'had'), ('had', 'a'), ('a', 'dog'), ('dog', '.')]\n" ] } ], "source": [ "def tokenize(trg, N = 1):\n", " word = trg.split(' ')\n", "# res = []\n", "# res2 = []\n", " \n", " if N == 1:\n", " return list(word)\n", " else:\n", " return list(zip(word, word[N - 1:]))\n", "\n", "# if N == 1:\n", "# return list(word)\n", "# else:\n", "# for i in range(len(word) - 1):\n", "# res.append(word[i])\n", "# res2.append(word[i + 1])\n", "\n", "# for i in range(len(res) - 1):\n", "# result.append(res[i] + ' ' + res2[i])\n", " \n", " \n", "def main():\n", " a = \"There was a farmer who had a dog .\"\n", " print(tokenize(a))\n", " print(tokenize(a, 2))\n", " \n", "if __name__ == \"__main__\":\n", " main()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## ex_04" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "평균 : 1.0 분산: 0.8333333333333334\n" ] } ], "source": [ "def mean_and_var(*val):\n", " tsum = 0\n", " tmp = 0\n", " v = 0\n", " \n", " for x in range(0,len(val)):\n", " tsum += val[x][0]\n", " tsum += val[x][1]\n", " \n", " avg = tsum/len(val)\n", " \n", " for x in range(0,len(val)):\n", " tmp += pow((val[x][0] - avg),2)\n", " tmp += pow((val[x][1] - avg),2)\n", " v = tmp / len(val)\n", " \n", " return avg, v\n", " \n", "def main():\n", " v1 = (0, 1)\n", " v2 = (0.5, 0.5)\n", " v3 = (1, 0)\n", " \n", " m, var = mean_and_var(v1, v2, v3)\n", " print('평균 : ', m, '분산:', var)\n", " \n", " \n", "if __name__ == \"__main__\":\n", " main()" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "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": "3.7.1" } }, "nbformat": 4, "nbformat_minor": 2 }