You can not select more than 25 topics Topics must start with a chinese character,a letter or number, can include dashes ('-') and can be up to 35 characters long.

0-ipython_notebook.ipynb 10 kB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311312313314315316317318319320321322323324325326327328329330331332333334335336337338339340341342343344345346347348349350351352353354355356357358359360361362363364365366367368369370371
  1. {
  2. "cells": [
  3. {
  4. "cell_type": "markdown",
  5. "metadata": {},
  6. "source": [
  7. "# IPython和Jupyter笔记本"
  8. ]
  9. },
  10. {
  11. "cell_type": "markdown",
  12. "metadata": {},
  13. "source": [
  14. "本在线讲义使用Jupyter Notebook编写,因此首先介绍Jupter Notebook的使用方法。使用Notebook,可以方便的将理论描述、程序、数据可视化等集成在一个多媒体页面,方便大家的学习。\n",
  15. "\n",
  16. "Jupyter notebook 是一种 Web 应用,它能让用户将说明文本、数学方程、代码和可视化内容全部组合到一个易于共享的文档中,非常方便研究和教学,让使用者一目了然。Jupyter notebook特别适合做数据处理,其用途可以包括数据清理和探索、可视化、机器学习和大数据分析。其具有以下一些特点:\n",
  17. "* 编程时具有语法高亮、缩进、tab补全的功能。\n",
  18. "* 可直接通过浏览器运行代码,同时在代码块下方展示运行结果。\n",
  19. "* 以富媒体格式展示计算结果。富媒体格式包括:HTML,LaTeX,PNG,SVG等。\n",
  20. "* 对代码编写说明文档或语句时,支持Markdown语法。\n",
  21. "* 支持使用LaTeX编写数学性说明。\n"
  22. ]
  23. },
  24. {
  25. "cell_type": "markdown",
  26. "metadata": {},
  27. "source": [
  28. "## Jupyter 安装\n",
  29. "安装Jupyter最简单的方法就是使用 Anaconda,其发行版附带了 Jupyter Notebook。在 conda 环境下安装 Jupyter Notebook 可以使用 \n",
  30. "\n",
  31. "```\n",
  32. "conda install jupyter\n",
  33. "```\n",
  34. "\n",
  35. "当然,也可以通过 `pip` 来安装 \n",
  36. "```\n",
  37. "pip install jupyter。\n",
  38. "```\n",
  39. "\n",
  40. "安装后便可在终端中输入以下命令启动:\n",
  41. "```\n",
  42. "# jupyter notebook\n",
  43. "```"
  44. ]
  45. },
  46. {
  47. "cell_type": "markdown",
  48. "metadata": {},
  49. "source": [
  50. "## 常用操作\n",
  51. "\n",
  52. "![shortcut](images/jupyter_shortcuts.png)"
  53. ]
  54. },
  55. {
  56. "cell_type": "code",
  57. "execution_count": 3,
  58. "metadata": {
  59. "podoc": {
  60. "output_text": "Screenshot of a Jupyter notebook"
  61. }
  62. },
  63. "outputs": [
  64. {
  65. "name": "stdout",
  66. "output_type": "stream",
  67. "text": [
  68. "Hello world!\n"
  69. ]
  70. }
  71. ],
  72. "source": [
  73. "print(\"Hello world!\")"
  74. ]
  75. },
  76. {
  77. "cell_type": "code",
  78. "execution_count": 1,
  79. "metadata": {},
  80. "outputs": [
  81. {
  82. "data": {
  83. "text/plain": [
  84. "4"
  85. ]
  86. },
  87. "execution_count": 1,
  88. "metadata": {},
  89. "output_type": "execute_result"
  90. }
  91. ],
  92. "source": [
  93. "2 + 2"
  94. ]
  95. },
  96. {
  97. "cell_type": "code",
  98. "execution_count": 2,
  99. "metadata": {},
  100. "outputs": [
  101. {
  102. "data": {
  103. "text/plain": [
  104. "12"
  105. ]
  106. },
  107. "execution_count": 2,
  108. "metadata": {},
  109. "output_type": "execute_result"
  110. }
  111. ],
  112. "source": [
  113. "_ * 3"
  114. ]
  115. },
  116. {
  117. "cell_type": "code",
  118. "execution_count": 1,
  119. "metadata": {},
  120. "outputs": [
  121. {
  122. "name": "stdout",
  123. "output_type": "stream",
  124. "text": [
  125. "0-ipython_notebook_EN.ipynb 3_Data_Structure_1.ipynb\t 7_Class_EN.ipynb\r\n",
  126. "0-ipython_notebook.ipynb 4_Data_Structure_2_EN.ipynb 7_Class.ipynb\r\n",
  127. "1_Basics_EN.ipynb\t 4_Data_Structure_2.ipynb\t images\r\n",
  128. "1_Basics.ipynb\t\t 5_Control_Flow_EN.ipynb\t Python.pdf\r\n",
  129. "2_Print_Statement_EN.ipynb 5_Control_Flow.ipynb\t README_EN.md\r\n",
  130. "2_Print_Statement.ipynb 6_Function_EN.ipynb\t README.md\r\n",
  131. "3_Data_Structure_1_EN.ipynb 6_Function.ipynb\t\t test.txt\r\n"
  132. ]
  133. }
  134. ],
  135. "source": [
  136. "!ls"
  137. ]
  138. },
  139. {
  140. "cell_type": "code",
  141. "execution_count": 3,
  142. "metadata": {},
  143. "outputs": [
  144. {
  145. "data": {
  146. "application/json": {
  147. "cell": {
  148. "!": "OSMagics",
  149. "HTML": "Other",
  150. "SVG": "Other",
  151. "bash": "Other",
  152. "capture": "ExecutionMagics",
  153. "debug": "ExecutionMagics",
  154. "file": "Other",
  155. "html": "DisplayMagics",
  156. "javascript": "DisplayMagics",
  157. "js": "DisplayMagics",
  158. "latex": "DisplayMagics",
  159. "markdown": "DisplayMagics",
  160. "perl": "Other",
  161. "prun": "ExecutionMagics",
  162. "pypy": "Other",
  163. "python": "Other",
  164. "python2": "Other",
  165. "python3": "Other",
  166. "ruby": "Other",
  167. "script": "ScriptMagics",
  168. "sh": "Other",
  169. "svg": "DisplayMagics",
  170. "sx": "OSMagics",
  171. "system": "OSMagics",
  172. "time": "ExecutionMagics",
  173. "timeit": "ExecutionMagics",
  174. "writefile": "OSMagics"
  175. },
  176. "line": {
  177. "alias": "OSMagics",
  178. "alias_magic": "BasicMagics",
  179. "autoawait": "AsyncMagics",
  180. "autocall": "AutoMagics",
  181. "automagic": "AutoMagics",
  182. "autosave": "KernelMagics",
  183. "bookmark": "OSMagics",
  184. "cat": "Other",
  185. "cd": "OSMagics",
  186. "clear": "KernelMagics",
  187. "colors": "BasicMagics",
  188. "conda": "PackagingMagics",
  189. "config": "ConfigMagics",
  190. "connect_info": "KernelMagics",
  191. "cp": "Other",
  192. "debug": "ExecutionMagics",
  193. "dhist": "OSMagics",
  194. "dirs": "OSMagics",
  195. "doctest_mode": "BasicMagics",
  196. "ed": "Other",
  197. "edit": "KernelMagics",
  198. "env": "OSMagics",
  199. "gui": "BasicMagics",
  200. "hist": "Other",
  201. "history": "HistoryMagics",
  202. "killbgscripts": "ScriptMagics",
  203. "ldir": "Other",
  204. "less": "KernelMagics",
  205. "lf": "Other",
  206. "lk": "Other",
  207. "ll": "Other",
  208. "load": "CodeMagics",
  209. "load_ext": "ExtensionMagics",
  210. "loadpy": "CodeMagics",
  211. "logoff": "LoggingMagics",
  212. "logon": "LoggingMagics",
  213. "logstart": "LoggingMagics",
  214. "logstate": "LoggingMagics",
  215. "logstop": "LoggingMagics",
  216. "ls": "Other",
  217. "lsmagic": "BasicMagics",
  218. "lx": "Other",
  219. "macro": "ExecutionMagics",
  220. "magic": "BasicMagics",
  221. "man": "KernelMagics",
  222. "matplotlib": "PylabMagics",
  223. "mkdir": "Other",
  224. "more": "KernelMagics",
  225. "mv": "Other",
  226. "notebook": "BasicMagics",
  227. "page": "BasicMagics",
  228. "pastebin": "CodeMagics",
  229. "pdb": "ExecutionMagics",
  230. "pdef": "NamespaceMagics",
  231. "pdoc": "NamespaceMagics",
  232. "pfile": "NamespaceMagics",
  233. "pinfo": "NamespaceMagics",
  234. "pinfo2": "NamespaceMagics",
  235. "pip": "PackagingMagics",
  236. "popd": "OSMagics",
  237. "pprint": "BasicMagics",
  238. "precision": "BasicMagics",
  239. "prun": "ExecutionMagics",
  240. "psearch": "NamespaceMagics",
  241. "psource": "NamespaceMagics",
  242. "pushd": "OSMagics",
  243. "pwd": "OSMagics",
  244. "pycat": "OSMagics",
  245. "pylab": "PylabMagics",
  246. "qtconsole": "KernelMagics",
  247. "quickref": "BasicMagics",
  248. "recall": "HistoryMagics",
  249. "rehashx": "OSMagics",
  250. "reload_ext": "ExtensionMagics",
  251. "rep": "Other",
  252. "rerun": "HistoryMagics",
  253. "reset": "NamespaceMagics",
  254. "reset_selective": "NamespaceMagics",
  255. "rm": "Other",
  256. "rmdir": "Other",
  257. "run": "ExecutionMagics",
  258. "save": "CodeMagics",
  259. "sc": "OSMagics",
  260. "set_env": "OSMagics",
  261. "store": "StoreMagics",
  262. "sx": "OSMagics",
  263. "system": "OSMagics",
  264. "tb": "ExecutionMagics",
  265. "time": "ExecutionMagics",
  266. "timeit": "ExecutionMagics",
  267. "unalias": "OSMagics",
  268. "unload_ext": "ExtensionMagics",
  269. "who": "NamespaceMagics",
  270. "who_ls": "NamespaceMagics",
  271. "whos": "NamespaceMagics",
  272. "xdel": "NamespaceMagics",
  273. "xmode": "BasicMagics"
  274. }
  275. },
  276. "text/plain": [
  277. "Available line magics:\n",
  278. "%alias %alias_magic %autoawait %autocall %automagic %autosave %bookmark %cat %cd %clear %colors %conda %config %connect_info %cp %debug %dhist %dirs %doctest_mode %ed %edit %env %gui %hist %history %killbgscripts %ldir %less %lf %lk %ll %load %load_ext %loadpy %logoff %logon %logstart %logstate %logstop %ls %lsmagic %lx %macro %magic %man %matplotlib %mkdir %more %mv %notebook %page %pastebin %pdb %pdef %pdoc %pfile %pinfo %pinfo2 %pip %popd %pprint %precision %prun %psearch %psource %pushd %pwd %pycat %pylab %qtconsole %quickref %recall %rehashx %reload_ext %rep %rerun %reset %reset_selective %rm %rmdir %run %save %sc %set_env %store %sx %system %tb %time %timeit %unalias %unload_ext %who %who_ls %whos %xdel %xmode\n",
  279. "\n",
  280. "Available cell magics:\n",
  281. "%%! %%HTML %%SVG %%bash %%capture %%debug %%file %%html %%javascript %%js %%latex %%markdown %%perl %%prun %%pypy %%python %%python2 %%python3 %%ruby %%script %%sh %%svg %%sx %%system %%time %%timeit %%writefile\n",
  282. "\n",
  283. "Automagic is ON, % prefix IS NOT needed for line magics."
  284. ]
  285. },
  286. "execution_count": 3,
  287. "metadata": {},
  288. "output_type": "execute_result"
  289. }
  290. ],
  291. "source": [
  292. "%lsmagic"
  293. ]
  294. },
  295. {
  296. "cell_type": "code",
  297. "execution_count": 8,
  298. "metadata": {},
  299. "outputs": [
  300. {
  301. "name": "stdout",
  302. "output_type": "stream",
  303. "text": [
  304. "Writing test.txt\n"
  305. ]
  306. }
  307. ],
  308. "source": [
  309. "%%writefile test.txt\n",
  310. "Hello world!"
  311. ]
  312. },
  313. {
  314. "cell_type": "code",
  315. "execution_count": 4,
  316. "metadata": {
  317. "scrolled": true
  318. },
  319. "outputs": [
  320. {
  321. "name": "stdout",
  322. "output_type": "stream",
  323. "text": [
  324. "Hello world!\n",
  325. "\n"
  326. ]
  327. }
  328. ],
  329. "source": [
  330. "# Let's check what this file contains.\n",
  331. "with open('test.txt', 'r') as f:\n",
  332. " print(f.read())"
  333. ]
  334. },
  335. {
  336. "cell_type": "code",
  337. "execution_count": 10,
  338. "metadata": {
  339. "collapsed": true,
  340. "podoc": {
  341. "output_text": "Screenshot of the pager"
  342. }
  343. },
  344. "outputs": [],
  345. "source": [
  346. "%run?"
  347. ]
  348. }
  349. ],
  350. "metadata": {
  351. "kernelspec": {
  352. "display_name": "Python 3",
  353. "language": "python",
  354. "name": "python3"
  355. },
  356. "language_info": {
  357. "codemirror_mode": {
  358. "name": "ipython",
  359. "version": 3
  360. },
  361. "file_extension": ".py",
  362. "mimetype": "text/x-python",
  363. "name": "python",
  364. "nbconvert_exporter": "python",
  365. "pygments_lexer": "ipython3",
  366. "version": "3.5.4"
  367. }
  368. },
  369. "nbformat": 4,
  370. "nbformat_minor": 2
  371. }

机器学习越来越多应用到飞行器、机器人等领域,其目的是利用计算机实现类似人类的智能,从而实现装备的智能化与无人化。本课程旨在引导学生掌握机器学习的基本知识、典型方法与技术,通过具体的应用案例激发学生对该学科的兴趣,鼓励学生能够从人工智能的角度来分析、解决飞行器、机器人所面临的问题和挑战。本课程主要内容包括Python编程基础,机器学习模型,无监督学习、监督学习、深度学习基础知识与实现,并学习如何利用机器学习解决实际问题,从而全面提升自我的《综合能力》。