python_challenge 美和 瑛

HikariMiwa/Hikari_Miwa_python_challenge (1).ipynb

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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#課題１\n",
+    "\n",
+    "li = list(range(1,11))\n",
+    "li"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[2, 4, 6, 8, 10]"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#課題２\n",
+    "#1~10の偶数のみのリスト作成\n",
+    "en = list(range(2,11,2))\n",
+    "en"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{0: 'a', 1: 'b', 2: 'c', 3: 'd', 4: 'e', 5: 'f'}"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#課題３\n",
+    "#リストから辞書型に変換する\n",
+    "def list_to_dic(key_list, val_list):\n",
+    "    return dict(zip(key_list, val_list))\n",
+    "    \n",
+    "lis = [\"a\",\"b\",\"c\",\"d\",\"e\",\"f\"]\n",
+    "nl = list(range(0,6))\n",
+    "\n",
+    "list_to_dic(nl,lis) \n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      " 山田, 24歳.sex: 男性.Height: 170cm.Weight: 60kg.\n",
+      "2\n"
+     ]
+    }
+   ],
+   "source": [
+    "#課題３\n",
+    "#Humanクラスの作成\n",
+    "class Human:\n",
+    "    \n",
+    "    count = 0\n",
+    "   \n",
+    "   \n",
+    "    \n",
+    " \n",
+    "    \n",
+    "    def __init__(self, name, age, sex, height, weight):\n",
+    "        self.name = name\n",
+    "        self.age = age\n",
+    "        self.sex = sex\n",
+    "        self.height = height\n",
+    "        self.weight = weight\n",
+    "        Human.count += 1\n",
+    "        \n",
+    "    def age_plus(self,age):\n",
+    "         self.age += 1\n",
+    "    \n",
+    "    @classmethod\n",
+    "    def count_instance(self):\n",
+    "        return self.count\n",
+    "        \n",
+    "         \n",
+    "\n",
+    "        \n",
+    "        \n",
+    "a =Human(\"山田\", 23,  \"男性\",170.3 ,60.2)\n",
+    "b = Human(\"高橋\", 23,  \"女性\",165.2 ,46.2)\n",
+    "\n",
+    "a.age_plus(a.age)\n",
+    "\n",
+    "\n",
+    "print(\" %s, %d歳.sex: %s.Height: %dcm.Weight: %dkg.\" % (a.name, a.age,a.sex,a.height,a.weight))\n",
+    "print(Human.count_instance())"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "#課題5\n",
+    "import numpy as np\n",
+    "x = np.arange(9).reshape((3, 3))\n",
+    "y =np.arange(6).reshape((3, 2))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[10, 13],\n",
+       "       [28, 40],\n",
+       "       [46, 67]])"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.dot(x,y)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "#課題6\n",
+    "x = np.arange(3)\n",
+    "data = [1,4,5,7]\n",
+    "y = np.array(data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 1.        ,  0.54030231, -0.41614684])"
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.cos(x)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([ 0.54030231, -0.65364362,  0.28366219,  0.75390225])"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.cos(y)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "collapsed": true
+   },
+   "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": "3.6.0"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

HikariMiwa/README.md

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+名前     　　   
+美和　瑛   　  
+
+大学名   　　  
+東京大学    　　    
+
+専攻   　　  
+経済学部経営学科    　　  
+
+今までの開発経験    　　　　  
+swiftでiosアプリの開発を大学２年からやってます。またfintechに去年の冬興味を持ち始め  
+現在進行形でpythonで機械学習を学んでいます。    　　  
+
+中期的な目標    
+fintechに関わりのあるテキストマイニング、音声認識、データマイニングなどを自分で理解し実装できるようになりたいです。  
+文系だから技術がわからないという時代は終わりだと感じているため積極的に学びたいです。