Python Summary.ipynb 11.6 KB
Newer Older
Wichit Sombat's avatar
Wichit Sombat committed
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363
{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Awesome Jupyter Notebook\n",
    "> Session 2\n",
    "\n",
    "> Python Workshop for Benjama EEP\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Objectives\n",
    "1. bool - True, False\n",
    "1. [If-else](04 If Statements.ipynb)\n",
    "2. [While](05 While Loops and User Input.ipynb)\n",
    "3. For\n",
    "4. [Function](07 Introduction to Functions.ipynb)\n",
    "5. [Object Oriented Programming](Object Oriented Programming.ipynb)\n",
    "6. [Awesome Data Science Notebooks](https://github.com/jakevdp/PythonDataScienceHandbook)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## List - ลำดับ\n",
    "```python\n",
    "speakers = [ 'K', 'Kai', 'Or', 'Paul', 'Tom', 'Woot' ]\n",
    "heights = [ 180, 164, 165, 165, 180, 170 ]\n",
    "pop = [ 3.25, 3.9, 4, 3, 3.5, 3.44 ] \n",
    "```\n",
    "\n",
    "### เข้าถึงข้อมูลในลำดับ\n",
    "```python\n",
    "print(speakers[0])\n",
    "print(speakers[1])\n",
    "print(speakers[2])\n",
    "```\n",
    "\n",
    "### การกำหนดค่าลำดับ\n",
    "```python\n",
    "speakers[0] = 'Kriengsak'\n",
    "print(str(speakers))\n",
    "speakers[0] = 'K'\n",
    "print(str(speakers))\n",
    "```\n",
    "\n",
    "### การหาค่าต่ำสุด-สูงสุด-ผลรวม ของลำดับ\n",
    "```python\n",
    "print( max(heights) )\n",
    "print( min(pop) )\n",
    "print( sum(heights) )\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## bool - ค่าจริง-เท็จ\n",
    "```python\n",
    "speakers = [ 'K', 'Kai', 'Or', 'Paul', 'Tom', 'Woot' ]\n",
    "heights = [ 180, 164, 165, 165, 180, 170 ]\n",
    "popularity = [ 3.25, 3.9, 4, 3, 3.5, 3.44 ] \n",
    "\n",
    "print( 'K' in speakers )\n",
    "print( 'Justin Bieber' in speakers )\n",
    "print( speakers[0] == 'K' )\n",
    "print( speakers[3] == 'Wichit' )\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## If-else\n",
    "\n",
    "### เงื่อนไขเดียว\n",
    "```python\n",
    "if ค่าจริงเท็จ: \n",
    "    คำสั่งที่จะทำเมื่อเป็นจริง\n",
    "else:\n",
    "    คำสั่งที่จะทำเมื่อเป็นเท็จ\n",
    "```\n",
    "\n",
    "> ต้วอย่าง\n",
    "\n",
    "```python\n",
    "if 'Justin Bieber' in speakers:\n",
    "    print('นักร้องดังนานาชาติมา')\n",
    "else:\n",
    "    print('ไม่มีนักร้องดังมางาน')\n",
    "```\n",
    "\n",
    "### หลายเงื่อนไข\n",
    "```python\n",
    "if เงื่อนไข1:\n",
    "    คำสั่งที่จะทำเมื่อเงื่อนไข1เป็นจริง\n",
    "elif เงื่อนไข2:\n",
    "    คำสั่งที่จะทำเมื่อเงื่อนไข2เป็นจริง\n",
    "elif เงื่อนไข3:\n",
    "    คำสั่งที่จะทำเมื่อเงื่อนไข3เป็นจริง\n",
    "else: \n",
    "    คำสั่งที่จะทำเมื่อเงื่อนไขทั้งหมดเป็นเท็จ\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## While\n",
    "```python\n",
    "while เงื่อนไข:\n",
    "    คำสั่งที่จะทำเมื่อตรวจสอบเงื่อนไขในแต่ละรอบแล้วเป็นจริง\n",
    "```\n",
    "\n",
    "> ตัวอย่าง\n",
    "\n",
    "```python\n",
    "i = 0\n",
    "while i < 10:\n",
    "    print('i = '+str(i))\n",
    "    i = i+1\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## For\n",
    "```python\n",
    "for สมาชิก in ลำดับ:\n",
    "    คำสั่งที่จะทำสำหรับสมาชิกแต่ละตัว\n",
    "```\n",
    "\n",
    "> ตัวอย่าง\n",
    "\n",
    "```python\n",
    "speakers = [ 'K', 'Kai', 'Or', 'Paul', 'Tom', 'Woot' ]\n",
    "for speaker in speakers:\n",
    "    print(speaker)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Function - การเขียนฟังก์ชัน\n",
    "```python\n",
    "def ชื่อฟังก์ชัน(รายการข้อมูลที่รับมา):\n",
    "    คำสั่งภายในฟังก์ชัน\n",
    "```\n",
    "\n",
    "> ตัวอย่าง\n",
    "\n",
    "```python\n",
    "def statsummary(a):\n",
    "    import statistics\n",
    "    print('ลำดับ: '+str(a))\n",
    "    print('ค่าเฉลี่ยของลำดับ: '+str(statistics.mean(a)))\n",
    "    print('ค่าเบี่ยงเบนมาตรฐานของลำดับ: '+str(statistics.stdev(a)))\n",
    "\n",
    "heights = [ 180, 164, 165, 165, 180, 170 ]\n",
    "statssummary(heights)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Dictionary/json - ชนิดข้อมูลที่นิยมใช้แลกเปลี่ยนข้อมูล\n",
    "* อัตราแลกเปลี่ยน https://api.fixer.io/lastest\n",
    "* ข้อมูลผู้ใช้บน github  https://api.github.com/users \n",
    "* Google: YouTube Data API, Live Stream, Analytics https://developers.google.com/youtube/v3/\n",
    "* Facebook: [Graph API](https://developers.facebook.com/docs/graph-api/)\n",
    "* [The Movie Database](https://www.themoviedb.org/)\n",
    "\n",
    "### ข้อมูลจากเครื่องวิทยากร\n",
    "#### แบบ json\n",
    "* http://หมายเลขไอพีเครื่องวิทยากร/api/info\n",
    "* http://หมายเลขไอพีเครื่องวิทยากร/api/exchange\n",
    "\n",
    "#### แบบข้อความธรรมดา\n",
    "* http://หมายเลขไอพีเครื่องวิทยากร/speakers/txt\n",
    "* http://หมายเลขไอพีเครื่องวิทยากร/height/txt\n",
    "* http://หมายเลขไอพีเครื่องวิทยากร/pop/txt\n",
    "\n",
    "### รูปแบบข้อมูล dictionary\n",
    "```python\n",
    "speakers = {\n",
    "  'K': 'เกรียงศักดิ์',\n",
    "  'Woot': 'วราวุฒิ',\n",
    "  'Tom': 'ไพชยนต์'\n",
    "}\n",
    "```\n",
    "\n",
    "เนื่องจาก str ใน python ใช้ได้ทั้ง '' และ \"\" \n",
    "```python\n",
    "speakers = {\n",
    "  \"K\": \"เกรียงศักดิ์\",\n",
    "  \"Woot\": \"วราวุฒิ\",\n",
    "  \"Tom\": \"ไพชยนต์\"\n",
    "}\n",
    "```\n",
    "\n",
    "> ตัวอย่าง  info\n",
    "\n",
    "```python\n",
    "{\n",
    "    \"K\": {\n",
    "        \"ชื่อ-สกุล\": \"เกรียงศักดิ์ ตรีประพิณ\",\n",
    "        \"e-mail\": \"kriengsak.t@ubu.ac.th\",\n",
    "        \"picture\":  \"image/K.jpg\"\n",
    "    },\n",
    "    \"Kai\": {\n",
    "        \"ชื่อ-สกุล\": \"ปิยนันท์ พนากานต์\", \n",
    "        \"e-mail\": \"piyanan.p@ubu.ac.th\",\n",
    "        \"picture\":  \"image/Kai.jpg\"\n",
    "    },\n",
    "    \"Or\": {\n",
    "        \"ชื่อ-สกุล\": \"วาสนา เหง้าเกษ\",\n",
    "        \"e-mail\": \"wasana.n@ubu.ac.th\",\n",
    "        \"picture\":  \"image/Or.jpg\"\n",
    "    },\n",
    "    \"Paul\": {\n",
    "        \"ชื่อ-สกุล\": \"วิชิต สมบัติ\",\n",
    "        \"e-mail\": \"wichit.s@ubu.ac.th\",\n",
    "        \"picture\":  \"image/Paul.jpg\"\n",
    "    },\n",
    "    \"Tom\": {\n",
    "        \"ชื่อ-สกุล\": \"ไพชยนต์ คงไชย\",\n",
    "        \"e-mail\": \"phaichayon.k@ubu.ac.th\",\n",
    "        \"picture\":  \"image/Tom.jpg\"\n",
    "    },\n",
    "    \"Woot\": {\n",
    "        \"ชื่อ-สกุล\": \"วราวุฒิ ผ้าเจริญ\",\n",
    "        \"e-mail\": \"warawoot.p@ubu.ac.th\",\n",
    "        \"picture\":  \"image/Woot.jpg\"\n",
    "    }\n",
    "}\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## การรับส่งข้อมูล json\n",
    "```python\n",
    "import requests\n",
    "r = requests.get('http://api.fixer.io/latest')\n",
    "x = r.json()\n",
    "print( type(x) )\n",
    "print(x)\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## More on import \n",
    "คำสั่งเพื่อสร้างหน้าต่างขึ้นมา\n",
    "\n",
    "```python\n",
    "import sys\n",
    "import PyQt5.QtWidgets \n",
    "\n",
    "app = PyQt5.QtWidgets.QApplication(sys.argv)\n",
    "w = PyQt5.QtWidgets.QWidget()\n",
    "w.resize(250, 150)\n",
    "w.move(300, 300)\n",
    "w.show()\n",
    "\n",
    "sys.exit(app.exec_())\n",
    "```\n",
    "\n",
    "เราสามารถทำการย่อชื่อโดยใช้คำสั่ง import ช่วยให้สั้นลงได้ดังนี้\n",
    "```python\n",
    "import sys\n",
    "from PyQt5.QtWidgets import QApplication, QWidget\n",
    "\n",
    "app = QApplication(sys.argv)\n",
    "w = QWidget()\n",
    "w.resize(250, 150)\n",
    "w.move(300, 300)\n",
    "w.show()\n",
    "\n",
    "sys.exit(app.exec_())\n",
    "```\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# แนวคิดเชิงวัตถุ และการสืบทอดคุณสมบัติ\n",
    "เราสามารถเขียนนิยามหน้าต่างของเราเองได้ดังนี้\n",
    "```python\n",
    "import sys\n",
    "from PyQt5.QtWidgets import QApplication, QWidget\n",
    "from PyQt5.QtGui import QIcon\n",
    "\n",
    "\n",
    "class MyWindow(QWidget):\n",
    "    \n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "        self.setGeometry(300, 300, 250, 150)\n",
    "        self.setWindowTitle('Icon')\n",
    "        self.setWindowIcon(QIcon('icon.png'))\n",
    "        self.show()\n",
    "        \n",
    "        \n",
    "if __name__ == '__main__':\n",
    "    \n",
    "    app = QApplication(sys.argv)\n",
    "    ex = Example()\n",
    "    sys.exit(app.exec_())\n",
    "```"
   ]
  },
  {
   "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": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}