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5_Control_Flow.ipynb 12 kB

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  1. {
  2. "cells": [
  3. {
  4. "cell_type": "markdown",
  5. "metadata": {},
  6. "source": [
  7. "# 控制流语句"
  8. ]
  9. },
  10. {
  11. "cell_type": "markdown",
  12. "metadata": {},
  13. "source": [
  14. "## 1. If"
  15. ]
  16. },
  17. {
  18. "cell_type": "markdown",
  19. "metadata": {},
  20. "source": [
  21. "if some_condition:\n",
  22. " \n",
  23. " algorithm"
  24. ]
  25. },
  26. {
  27. "cell_type": "code",
  28. "execution_count": 1,
  29. "metadata": {
  30. "scrolled": true
  31. },
  32. "outputs": [
  33. {
  34. "name": "stdout",
  35. "output_type": "stream",
  36. "text": [
  37. "Welcome!\n"
  38. ]
  39. }
  40. ],
  41. "source": [
  42. "x = 4\n",
  43. "if x >10: \n",
  44. " print(\"Hello\")\n",
  45. "else: \n",
  46. " print(\"Welcome!\")"
  47. ]
  48. },
  49. {
  50. "cell_type": "code",
  51. "execution_count": 2,
  52. "metadata": {
  53. "collapsed": true
  54. },
  55. "outputs": [],
  56. "source": [
  57. "x = 4\n",
  58. "if x > 10: print(\"Hello\")"
  59. ]
  60. },
  61. {
  62. "cell_type": "markdown",
  63. "metadata": {},
  64. "source": [
  65. "## 2. If-else"
  66. ]
  67. },
  68. {
  69. "cell_type": "markdown",
  70. "metadata": {},
  71. "source": [
  72. "if some_condition:\n",
  73. " \n",
  74. " algorithm\n",
  75. " \n",
  76. "else:\n",
  77. " \n",
  78. " algorithm"
  79. ]
  80. },
  81. {
  82. "cell_type": "code",
  83. "execution_count": 3,
  84. "metadata": {},
  85. "outputs": [
  86. {
  87. "name": "stdout",
  88. "output_type": "stream",
  89. "text": [
  90. "hello\n"
  91. ]
  92. }
  93. ],
  94. "source": [
  95. "x = 12\n",
  96. "if x > 10:\n",
  97. " print(\"hello\")\n",
  98. "else:\n",
  99. " print(\"world\")"
  100. ]
  101. },
  102. {
  103. "cell_type": "markdown",
  104. "metadata": {},
  105. "source": [
  106. "## 3. if-elif"
  107. ]
  108. },
  109. {
  110. "cell_type": "markdown",
  111. "metadata": {},
  112. "source": [
  113. "if some_condition:\n",
  114. " \n",
  115. " algorithm\n",
  116. "\n",
  117. "elif some_condition:\n",
  118. " \n",
  119. " algorithm\n",
  120. "\n",
  121. "else:\n",
  122. " \n",
  123. " algorithm"
  124. ]
  125. },
  126. {
  127. "cell_type": "code",
  128. "execution_count": 3,
  129. "metadata": {},
  130. "outputs": [
  131. {
  132. "name": "stdout",
  133. "output_type": "stream",
  134. "text": [
  135. "x<y\n"
  136. ]
  137. }
  138. ],
  139. "source": [
  140. "x = 10\n",
  141. "y = 12\n",
  142. "if x > y:\n",
  143. " print(\"x>y\")\n",
  144. "elif x < y:\n",
  145. " print(\"x<y\")\n",
  146. "else:\n",
  147. " print(\"x=y\")"
  148. ]
  149. },
  150. {
  151. "cell_type": "markdown",
  152. "metadata": {},
  153. "source": [
  154. "在if语句里的if语句,if-elif或if-else都被称为嵌套if语句。"
  155. ]
  156. },
  157. {
  158. "cell_type": "code",
  159. "execution_count": 4,
  160. "metadata": {},
  161. "outputs": [
  162. {
  163. "name": "stdout",
  164. "output_type": "stream",
  165. "text": [
  166. "x<y\n",
  167. "x=10\n"
  168. ]
  169. }
  170. ],
  171. "source": [
  172. "x = 10\n",
  173. "y = 12\n",
  174. "if x > y:\n",
  175. " print(\"x>y\")\n",
  176. "elif x < y:\n",
  177. " print(\"x<y\")\n",
  178. " if x==10:\n",
  179. " print(\"x=10\")\n",
  180. " else:\n",
  181. " print(\"invalid\")\n",
  182. "else:\n",
  183. " print(\"x=y\")"
  184. ]
  185. },
  186. {
  187. "cell_type": "markdown",
  188. "metadata": {},
  189. "source": [
  190. "## 4. 循环"
  191. ]
  192. },
  193. {
  194. "cell_type": "markdown",
  195. "metadata": {},
  196. "source": [
  197. "### 4.1 for"
  198. ]
  199. },
  200. {
  201. "cell_type": "markdown",
  202. "metadata": {},
  203. "source": [
  204. "for variable in something:\n",
  205. " \n",
  206. " algorithm"
  207. ]
  208. },
  209. {
  210. "cell_type": "code",
  211. "execution_count": 4,
  212. "metadata": {},
  213. "outputs": [
  214. {
  215. "name": "stdout",
  216. "output_type": "stream",
  217. "text": [
  218. "0\n",
  219. "1\n",
  220. "2\n",
  221. "3\n",
  222. "4\n"
  223. ]
  224. }
  225. ],
  226. "source": [
  227. "for i in range(5):\n",
  228. " print(i)"
  229. ]
  230. },
  231. {
  232. "cell_type": "code",
  233. "execution_count": 5,
  234. "metadata": {},
  235. "outputs": [
  236. {
  237. "name": "stdout",
  238. "output_type": "stream",
  239. "text": [
  240. "1\n",
  241. "2\n",
  242. "5\n",
  243. "6\n"
  244. ]
  245. }
  246. ],
  247. "source": [
  248. "a = [1, 2, 5, 6]\n",
  249. "for i in a:\n",
  250. " print(i)"
  251. ]
  252. },
  253. {
  254. "cell_type": "markdown",
  255. "metadata": {},
  256. "source": [
  257. "在上面的例子中,我遍历了0,1,2,3,4。每次它取每个值并在循环内执行算法。还可以遍历如下所示的嵌套列表。"
  258. ]
  259. },
  260. {
  261. "cell_type": "code",
  262. "execution_count": 6,
  263. "metadata": {},
  264. "outputs": [
  265. {
  266. "name": "stdout",
  267. "output_type": "stream",
  268. "text": [
  269. "[1, 2, 3]\n",
  270. "[4, 5, 6]\n",
  271. "[7, 8, 9]\n"
  272. ]
  273. }
  274. ],
  275. "source": [
  276. "list_of_lists = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]\n",
  277. "for list1 in list_of_lists:\n",
  278. " print(list1)"
  279. ]
  280. },
  281. {
  282. "cell_type": "markdown",
  283. "metadata": {},
  284. "source": [
  285. "嵌套的for循环的一个用例是,"
  286. ]
  287. },
  288. {
  289. "cell_type": "code",
  290. "execution_count": 7,
  291. "metadata": {},
  292. "outputs": [
  293. {
  294. "name": "stdout",
  295. "output_type": "stream",
  296. "text": [
  297. "1\n",
  298. "2\n",
  299. "3\n",
  300. "\n",
  301. "4\n",
  302. "5\n",
  303. "6\n",
  304. "\n",
  305. "7\n",
  306. "8\n",
  307. "9\n",
  308. "\n"
  309. ]
  310. }
  311. ],
  312. "source": [
  313. "list_of_lists = [[1, 2, 3], [4, 5, 6], [7, 8, 9]]\n",
  314. "for list1 in list_of_lists:\n",
  315. " for x in list1:\n",
  316. " print(x)\n",
  317. " print()"
  318. ]
  319. },
  320. {
  321. "cell_type": "markdown",
  322. "metadata": {},
  323. "source": [
  324. "### 4.2 while"
  325. ]
  326. },
  327. {
  328. "cell_type": "markdown",
  329. "metadata": {},
  330. "source": [
  331. "while some_condition:\n",
  332. " \n",
  333. " algorithm"
  334. ]
  335. },
  336. {
  337. "cell_type": "code",
  338. "execution_count": 8,
  339. "metadata": {},
  340. "outputs": [
  341. {
  342. "name": "stdout",
  343. "output_type": "stream",
  344. "text": [
  345. "1\n",
  346. "4\n",
  347. "Bye\n",
  348. "looping 4\n",
  349. "looping 5\n",
  350. "looping 6\n",
  351. "looping 7\n",
  352. "looping 8\n",
  353. "looping 9\n",
  354. "looping 10\n",
  355. "looping 11\n"
  356. ]
  357. }
  358. ],
  359. "source": [
  360. "i = 1\n",
  361. "while i < 3:\n",
  362. " print(i ** 2)\n",
  363. " i = i+1\n",
  364. "print('Bye')\n",
  365. "\n",
  366. "# do-untile\n",
  367. "while True:\n",
  368. " #do something\n",
  369. " i = i+1\n",
  370. " print('looping %3d' % i)\n",
  371. " \n",
  372. " # check \n",
  373. " if i>10: break"
  374. ]
  375. },
  376. {
  377. "cell_type": "markdown",
  378. "metadata": {},
  379. "source": [
  380. "## 5. break"
  381. ]
  382. },
  383. {
  384. "cell_type": "markdown",
  385. "metadata": {},
  386. "source": [
  387. "顾名思义。它用于在执行循环时,当条件为真时中断循环。"
  388. ]
  389. },
  390. {
  391. "cell_type": "code",
  392. "execution_count": 9,
  393. "metadata": {},
  394. "outputs": [
  395. {
  396. "name": "stdout",
  397. "output_type": "stream",
  398. "text": [
  399. "0\n",
  400. "1\n",
  401. "2\n",
  402. "3\n",
  403. "4\n",
  404. "5\n",
  405. "6\n",
  406. "7\n"
  407. ]
  408. }
  409. ],
  410. "source": [
  411. "for i in range(100):\n",
  412. " print(i)\n",
  413. " if i>=7:\n",
  414. " break"
  415. ]
  416. },
  417. {
  418. "cell_type": "markdown",
  419. "metadata": {},
  420. "source": [
  421. "## 6. continue"
  422. ]
  423. },
  424. {
  425. "cell_type": "markdown",
  426. "metadata": {},
  427. "source": [
  428. "这将继续循环的其余部分。有时,当满足条件时,循环有可能终止。这可以使用continue语句避免。"
  429. ]
  430. },
  431. {
  432. "cell_type": "code",
  433. "execution_count": 10,
  434. "metadata": {},
  435. "outputs": [
  436. {
  437. "name": "stdout",
  438. "output_type": "stream",
  439. "text": [
  440. "0\n",
  441. "1\n",
  442. "2\n",
  443. "3\n",
  444. "4\n",
  445. "The end.\n",
  446. "The end.\n",
  447. "The end.\n",
  448. "The end.\n",
  449. "The end.\n"
  450. ]
  451. }
  452. ],
  453. "source": [
  454. "for i in range(10):\n",
  455. " if i>4:\n",
  456. " print(\"The end.\")\n",
  457. " continue\n",
  458. " if i<7:\n",
  459. " print(i)"
  460. ]
  461. },
  462. {
  463. "cell_type": "markdown",
  464. "metadata": {},
  465. "source": [
  466. "## 7. 列表推导(List Comprehensions)"
  467. ]
  468. },
  469. {
  470. "cell_type": "markdown",
  471. "metadata": {},
  472. "source": [
  473. "Python可以使用列表推导模式,用一行代码就可以很容易地生成所需的列表。例如,如果我需要生成27的倍数,用`for`循环缩写的代码如下:"
  474. ]
  475. },
  476. {
  477. "cell_type": "code",
  478. "execution_count": 12,
  479. "metadata": {},
  480. "outputs": [
  481. {
  482. "name": "stdout",
  483. "output_type": "stream",
  484. "text": [
  485. "[27, 54, 81, 108, 135, 162, 189, 216, 243, 270]\n"
  486. ]
  487. }
  488. ],
  489. "source": [
  490. "res = []\n",
  491. "for i in range(1,11):\n",
  492. " x = 27*i\n",
  493. " res.append(x)\n",
  494. "print(res)"
  495. ]
  496. },
  497. {
  498. "cell_type": "markdown",
  499. "metadata": {},
  500. "source": [
  501. "由于你需要生成另一个列表,所以列表推导是解决这个问题的更有效的方法(建议大家使用这样的方式)"
  502. ]
  503. },
  504. {
  505. "cell_type": "code",
  506. "execution_count": 11,
  507. "metadata": {},
  508. "outputs": [
  509. {
  510. "data": {
  511. "text/plain": [
  512. "[27, 54, 81, 108, 135, 162, 189, 216, 243, 270]"
  513. ]
  514. },
  515. "execution_count": 11,
  516. "metadata": {},
  517. "output_type": "execute_result"
  518. }
  519. ],
  520. "source": [
  521. "[27*x for x in range(1,11)]"
  522. ]
  523. },
  524. {
  525. "cell_type": "markdown",
  526. "metadata": {},
  527. "source": [
  528. "将表达方式用方括号括起来。"
  529. ]
  530. },
  531. {
  532. "cell_type": "markdown",
  533. "metadata": {},
  534. "source": [
  535. "理解代码,代码的第一个位总是算法,然后留下一个空格,然后写必要的循环。但是你可能想知道嵌套循环可以扩展到列表理解吗?是的,你可以。"
  536. ]
  537. },
  538. {
  539. "cell_type": "code",
  540. "execution_count": 12,
  541. "metadata": {},
  542. "outputs": [
  543. {
  544. "data": {
  545. "text/plain": [
  546. "[27, 54, 81, 108, 135, 162, 189, 216, 243, 270]"
  547. ]
  548. },
  549. "execution_count": 12,
  550. "metadata": {},
  551. "output_type": "execute_result"
  552. }
  553. ],
  554. "source": [
  555. "[27*x for x in range(1,20) if x<=10]"
  556. ]
  557. },
  558. {
  559. "cell_type": "code",
  560. "execution_count": 13,
  561. "metadata": {
  562. "scrolled": true
  563. },
  564. "outputs": [
  565. {
  566. "data": {
  567. "text/plain": [
  568. "{'27': 27,\n",
  569. " '54': 54,\n",
  570. " '81': 81,\n",
  571. " '108': 108,\n",
  572. " '135': 135,\n",
  573. " '162': 162,\n",
  574. " '189': 189,\n",
  575. " '216': 216,\n",
  576. " '243': 243,\n",
  577. " '270': 270}"
  578. ]
  579. },
  580. "execution_count": 13,
  581. "metadata": {},
  582. "output_type": "execute_result"
  583. }
  584. ],
  585. "source": [
  586. "{str(27*x):27*x for x in range(1,20) if x<=10}"
  587. ]
  588. },
  589. {
  590. "cell_type": "code",
  591. "execution_count": 14,
  592. "metadata": {},
  593. "outputs": [
  594. {
  595. "data": {
  596. "text/plain": [
  597. "(27, 54, 81, 108, 135, 162, 189, 216, 243, 270)"
  598. ]
  599. },
  600. "execution_count": 14,
  601. "metadata": {},
  602. "output_type": "execute_result"
  603. }
  604. ],
  605. "source": [
  606. "tuple((27*x for x in range(1,20) if x<=10))"
  607. ]
  608. },
  609. {
  610. "cell_type": "markdown",
  611. "metadata": {},
  612. "source": [
  613. "让我再加一个循环,让你更好地理解,"
  614. ]
  615. },
  616. {
  617. "cell_type": "code",
  618. "execution_count": 15,
  619. "metadata": {},
  620. "outputs": [
  621. {
  622. "data": {
  623. "text/plain": [
  624. "[1, 2, 3, 4, 28, 29, 30, 31, 55, 56, 57, 58]"
  625. ]
  626. },
  627. "execution_count": 15,
  628. "metadata": {},
  629. "output_type": "execute_result"
  630. }
  631. ],
  632. "source": [
  633. "[27*i+z for i in range(5) if i<3 for z in range(1,5)]"
  634. ]
  635. }
  636. ],
  637. "metadata": {
  638. "kernelspec": {
  639. "display_name": "Python 3",
  640. "language": "python",
  641. "name": "python3"
  642. },
  643. "language_info": {
  644. "codemirror_mode": {
  645. "name": "ipython",
  646. "version": 3
  647. },
  648. "file_extension": ".py",
  649. "mimetype": "text/x-python",
  650. "name": "python",
  651. "nbconvert_exporter": "python",
  652. "pygments_lexer": "ipython3",
  653. "version": "3.5.4"
  654. }
  655. },
  656. "nbformat": 4,
  657. "nbformat_minor": 1
  658. }

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》。