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  1. {
  2. "cells": [
  3. {
  4. "cell_type": "markdown",
  5. "metadata": {},
  6. "source": [
  7. "# This is Markdown"
  8. ]
  9. },
  10. {
  11. "cell_type": "code",
  12. "execution_count": 2,
  13. "metadata": {},
  14. "outputs": [],
  15. "source": [
  16. "# This is code"
  17. ]
  18. },
  19. {
  20. "cell_type": "code",
  21. "execution_count": 3,
  22. "metadata": {},
  23. "outputs": [
  24. {
  25. "name": "stdout",
  26. "output_type": "stream",
  27. "text": [
  28. "hello universe!\n"
  29. ]
  30. }
  31. ],
  32. "source": [
  33. "print (\"hello universe!\")"
  34. ]
  35. },
  36. {
  37. "cell_type": "markdown",
  38. "metadata": {},
  39. "source": [
  40. "## Print Statement"
  41. ]
  42. },
  43. {
  44. "cell_type": "code",
  45. "execution_count": 4,
  46. "metadata": {},
  47. "outputs": [
  48. {
  49. "name": "stdout",
  50. "output_type": "stream",
  51. "text": [
  52. "type of 5 is <class 'str'>\n"
  53. ]
  54. }
  55. ],
  56. "source": [
  57. "A='5'\n",
  58. "print('type of',A,'is',type(A))"
  59. ]
  60. },
  61. {
  62. "cell_type": "markdown",
  63. "metadata": {},
  64. "source": [
  65. "## Data types"
  66. ]
  67. },
  68. {
  69. "cell_type": "code",
  70. "execution_count": 5,
  71. "metadata": {},
  72. "outputs": [
  73. {
  74. "name": "stdout",
  75. "output_type": "stream",
  76. "text": [
  77. "type of 5 is <class 'int'>\n"
  78. ]
  79. }
  80. ],
  81. "source": [
  82. "A=5\n",
  83. "print('type of',A,'is',type(A))"
  84. ]
  85. },
  86. {
  87. "cell_type": "code",
  88. "execution_count": 6,
  89. "metadata": {},
  90. "outputs": [
  91. {
  92. "name": "stdout",
  93. "output_type": "stream",
  94. "text": [
  95. "type of 5.0 is <class 'float'>\n"
  96. ]
  97. }
  98. ],
  99. "source": [
  100. "A=5.0\n",
  101. "print('type of',A,'is',type(A))"
  102. ]
  103. },
  104. {
  105. "cell_type": "code",
  106. "execution_count": 7,
  107. "metadata": {},
  108. "outputs": [
  109. {
  110. "name": "stdout",
  111. "output_type": "stream",
  112. "text": [
  113. "type of True is <class 'bool'>\n"
  114. ]
  115. }
  116. ],
  117. "source": [
  118. "A=True\n",
  119. "print('type of',A,'is',type(A))"
  120. ]
  121. },
  122. {
  123. "cell_type": "code",
  124. "execution_count": 8,
  125. "metadata": {},
  126. "outputs": [
  127. {
  128. "name": "stdout",
  129. "output_type": "stream",
  130. "text": [
  131. "type of (100+2j) is <class 'complex'>\n"
  132. ]
  133. }
  134. ],
  135. "source": [
  136. "A=100+2j\n",
  137. "print('type of',A,'is',type(A))"
  138. ]
  139. },
  140. {
  141. "cell_type": "code",
  142. "execution_count": null,
  143. "metadata": {},
  144. "outputs": [],
  145. "source": []
  146. },
  147. {
  148. "cell_type": "code",
  149. "execution_count": 9,
  150. "metadata": {},
  151. "outputs": [
  152. {
  153. "name": "stdout",
  154. "output_type": "stream",
  155. "text": [
  156. "type of [1, 2, 3, 4, 5] is <class 'list'>\n",
  157. "type of 2 is <class 'int'>\n"
  158. ]
  159. }
  160. ],
  161. "source": [
  162. "A=[1,2,3,4,5]\n",
  163. "print('type of',A,'is',type(A))\n",
  164. "print('type of',A[1],'is',type(A[1]))"
  165. ]
  166. },
  167. {
  168. "cell_type": "code",
  169. "execution_count": 10,
  170. "metadata": {},
  171. "outputs": [
  172. {
  173. "name": "stdout",
  174. "output_type": "stream",
  175. "text": [
  176. "type of {1: 'orange', 2: 'apple', 3: 'mango', 4: 'banana'} is <class 'dict'>\n",
  177. "type of orange is <class 'str'>\n"
  178. ]
  179. }
  180. ],
  181. "source": [
  182. "Dict={1:'orange',2:'apple',3:'mango',4:'banana'}\n",
  183. "print('type of',Dict,'is',type(Dict))\n",
  184. "print('type of',Dict[1],'is',type(Dict[1]))"
  185. ]
  186. },
  187. {
  188. "cell_type": "code",
  189. "execution_count": 11,
  190. "metadata": {},
  191. "outputs": [
  192. {
  193. "name": "stdout",
  194. "output_type": "stream",
  195. "text": [
  196. "type of (1, 2, 3, 4) is <class 'tuple'>\n",
  197. "type of 2 is <class 'int'>\n"
  198. ]
  199. }
  200. ],
  201. "source": [
  202. "Tup=(1,2,3,4)\n",
  203. "print('type of',Tup,'is',type(Tup))\n",
  204. "print('type of',Tup[1],'is',type(Tup[1]))"
  205. ]
  206. },
  207. {
  208. "cell_type": "markdown",
  209. "metadata": {},
  210. "source": [
  211. "## List Operations"
  212. ]
  213. },
  214. {
  215. "cell_type": "code",
  216. "execution_count": 12,
  217. "metadata": {},
  218. "outputs": [
  219. {
  220. "name": "stdout",
  221. "output_type": "stream",
  222. "text": [
  223. "[1, 77, 3, 4, 5]\n"
  224. ]
  225. }
  226. ],
  227. "source": [
  228. "#Update list value\n",
  229. "A[1]=77\n",
  230. "print(A)"
  231. ]
  232. },
  233. {
  234. "cell_type": "code",
  235. "execution_count": 13,
  236. "metadata": {},
  237. "outputs": [
  238. {
  239. "name": "stdout",
  240. "output_type": "stream",
  241. "text": [
  242. "[1, 77, 3, 5]\n"
  243. ]
  244. }
  245. ],
  246. "source": [
  247. "# delete list elements\n",
  248. "\n",
  249. "del A[3]\n",
  250. "print(A)"
  251. ]
  252. },
  253. {
  254. "cell_type": "code",
  255. "execution_count": 14,
  256. "metadata": {},
  257. "outputs": [
  258. {
  259. "name": "stdout",
  260. "output_type": "stream",
  261. "text": [
  262. "[1, 77]\n"
  263. ]
  264. }
  265. ],
  266. "source": [
  267. "# to print upto first 2 elements. Here, the 0, 1 position elements are printed.\n",
  268. "print(A[0:2])"
  269. ]
  270. },
  271. {
  272. "cell_type": "code",
  273. "execution_count": 15,
  274. "metadata": {},
  275. "outputs": [
  276. {
  277. "name": "stdout",
  278. "output_type": "stream",
  279. "text": [
  280. "[77, 3, 5]\n"
  281. ]
  282. }
  283. ],
  284. "source": [
  285. "# Here starting from position 1 remaining elements are printed.\n",
  286. "print(A[1:])"
  287. ]
  288. },
  289. {
  290. "cell_type": "code",
  291. "execution_count": 16,
  292. "metadata": {},
  293. "outputs": [
  294. {
  295. "name": "stdout",
  296. "output_type": "stream",
  297. "text": [
  298. "[1, 77, 3]\n"
  299. ]
  300. }
  301. ],
  302. "source": [
  303. "#Here upto 2nd index elements are printed. \n",
  304. "print(A[:3])"
  305. ]
  306. },
  307. {
  308. "cell_type": "code",
  309. "execution_count": 17,
  310. "metadata": {},
  311. "outputs": [
  312. {
  313. "name": "stdout",
  314. "output_type": "stream",
  315. "text": [
  316. "[1, 77, 3, 5]\n"
  317. ]
  318. }
  319. ],
  320. "source": [
  321. "# All the elements are printed it is equal to print(A) but more understandable that we are going to print a list.\n",
  322. "print(A[:])"
  323. ]
  324. },
  325. {
  326. "cell_type": "code",
  327. "execution_count": 18,
  328. "metadata": {},
  329. "outputs": [
  330. {
  331. "name": "stdout",
  332. "output_type": "stream",
  333. "text": [
  334. "['Thor', 'ironman', 'Captain America', 'Hulk', 'Ant man', 'Captain Marvel']\n"
  335. ]
  336. }
  337. ],
  338. "source": [
  339. "# Addition of lists\n",
  340. "A=['Thor', 'ironman', 'Captain America', 'Hulk']\n",
  341. "B=['Ant man','Captain Marvel']\n",
  342. "C = A + B\n",
  343. "\n",
  344. "print (C)"
  345. ]
  346. },
  347. {
  348. "cell_type": "code",
  349. "execution_count": 27,
  350. "metadata": {},
  351. "outputs": [
  352. {
  353. "name": "stdout",
  354. "output_type": "stream",
  355. "text": [
  356. "[1, 2, 2, 1, 2, 2]\n"
  357. ]
  358. }
  359. ],
  360. "source": [
  361. "# Multiplication of lists\n",
  362. "\n",
  363. "A = [1,2,2]\n",
  364. "\n",
  365. "B = A*2\n",
  366. "\n",
  367. "print(B)"
  368. ]
  369. },
  370. {
  371. "cell_type": "code",
  372. "execution_count": null,
  373. "metadata": {},
  374. "outputs": [],
  375. "source": []
  376. },
  377. {
  378. "cell_type": "code",
  379. "execution_count": 28,
  380. "metadata": {},
  381. "outputs": [
  382. {
  383. "name": "stdout",
  384. "output_type": "stream",
  385. "text": [
  386. "minimum is 1\n",
  387. "maximum is 2\n",
  388. "length is 6\n"
  389. ]
  390. }
  391. ],
  392. "source": [
  393. "# List functions\n",
  394. "\n",
  395. "print('minimum is',min(B))\n",
  396. "print('maximum is',max(B))\n",
  397. "print('length is',len(B))"
  398. ]
  399. },
  400. {
  401. "cell_type": "code",
  402. "execution_count": 29,
  403. "metadata": {},
  404. "outputs": [
  405. {
  406. "name": "stdout",
  407. "output_type": "stream",
  408. "text": [
  409. "after appending [1, 2, 2, 1, 2, 2, ['a', 'b']]\n"
  410. ]
  411. }
  412. ],
  413. "source": [
  414. "B.append(['a','b'])\n",
  415. "print('after appending',B)"
  416. ]
  417. },
  418. {
  419. "cell_type": "code",
  420. "execution_count": 30,
  421. "metadata": {},
  422. "outputs": [
  423. {
  424. "name": "stdout",
  425. "output_type": "stream",
  426. "text": [
  427. "after extending [1, 2, 2, 1, 2, 2, ['a', 'b'], 'b', 'a', 'c']\n"
  428. ]
  429. }
  430. ],
  431. "source": [
  432. "B.extend(['b','a','c'])\n",
  433. "print('after extending',B)"
  434. ]
  435. },
  436. {
  437. "cell_type": "code",
  438. "execution_count": 31,
  439. "metadata": {},
  440. "outputs": [
  441. {
  442. "name": "stdout",
  443. "output_type": "stream",
  444. "text": [
  445. "count of 2 in B list 4\n"
  446. ]
  447. }
  448. ],
  449. "source": [
  450. "print('count of 2 in B list',B.count(2))"
  451. ]
  452. },
  453. {
  454. "cell_type": "code",
  455. "execution_count": 33,
  456. "metadata": {},
  457. "outputs": [
  458. {
  459. "name": "stdout",
  460. "output_type": "stream",
  461. "text": [
  462. "after insert [1, 2, 2, 'hit', 1, 2, 2, ['a', 'b'], 'b', 'a', 'c']\n"
  463. ]
  464. }
  465. ],
  466. "source": [
  467. "B.insert(3,'hit')\n",
  468. "print('after insert',B)"
  469. ]
  470. },
  471. {
  472. "cell_type": "code",
  473. "execution_count": 37,
  474. "metadata": {},
  475. "outputs": [
  476. {
  477. "name": "stdout",
  478. "output_type": "stream",
  479. "text": [
  480. "after sort in ascending order [1, 1, 2, 2, 2, 3, 4, 5, 7]\n",
  481. "after sort in descending order [7, 5, 4, 3, 2, 2, 2, 1, 1]\n"
  482. ]
  483. }
  484. ],
  485. "source": [
  486. "B=[2,3,1,2,2,1,4,5,7]\n",
  487. "B.sort()\n",
  488. "print('after sort in ascending order',B)\n",
  489. "B.sort(reverse=True)\n",
  490. "print('after sort in descending order',B)"
  491. ]
  492. },
  493. {
  494. "cell_type": "code",
  495. "execution_count": 38,
  496. "metadata": {},
  497. "outputs": [
  498. {
  499. "name": "stdout",
  500. "output_type": "stream",
  501. "text": [
  502. "after converting into list ['C', 'S', 'K']\n"
  503. ]
  504. }
  505. ],
  506. "source": [
  507. "# Convert into list\n",
  508. "\n",
  509. "B = \"CSK\"\n",
  510. "C = list(B)\n",
  511. "\n",
  512. "print('after converting into list',C)"
  513. ]
  514. },
  515. {
  516. "cell_type": "markdown",
  517. "metadata": {},
  518. "source": [
  519. "## Tuple Operations"
  520. ]
  521. },
  522. {
  523. "cell_type": "code",
  524. "execution_count": 40,
  525. "metadata": {},
  526. "outputs": [
  527. {
  528. "name": "stdout",
  529. "output_type": "stream",
  530. "text": [
  531. "tuple3: ('Python', 'PHP', 'HTML', 'C', '1', '2', '3', '4')\n",
  532. "tuple4: ('Python', 'PHP', '3', '4')\n"
  533. ]
  534. }
  535. ],
  536. "source": [
  537. "# You can not modify tuple values. But you can perform an operation store into another tuple.\n",
  538. "tuple1 = ('Python','PHP','HTML','C')\n",
  539. "tuple2= ('1','2','3','4')\n",
  540. "tuple3= tuple1+tuple2\n",
  541. "print(\"tuple3: \", tuple3)\n",
  542. "tuple4 = tuple1[0:2]+tuple2[2:4]\n",
  543. "print (\"tuple4: \", tuple4) \n"
  544. ]
  545. },
  546. {
  547. "cell_type": "markdown",
  548. "metadata": {},
  549. "source": [
  550. "## Dictionary Operations"
  551. ]
  552. },
  553. {
  554. "cell_type": "code",
  555. "execution_count": 41,
  556. "metadata": {},
  557. "outputs": [
  558. {
  559. "name": "stdout",
  560. "output_type": "stream",
  561. "text": [
  562. "first name\n",
  563. "last name\n",
  564. "33\n"
  565. ]
  566. }
  567. ],
  568. "source": [
  569. "a = {1:\"first name\",2:\"last name\", \"age\":33}\n",
  570. "\n",
  571. "#print value having key=1\n",
  572. "print(a[1])\n",
  573. "#print value having key=2\n",
  574. "print(a[2])\n",
  575. "#print value having key=\"age\"\n",
  576. "print(a[\"age\"])"
  577. ]
  578. },
  579. {
  580. "cell_type": "code",
  581. "execution_count": 42,
  582. "metadata": {},
  583. "outputs": [
  584. {
  585. "name": "stdout",
  586. "output_type": "stream",
  587. "text": [
  588. "after adding: {1: 'first name', 2: 'last name', 'age': 33, 'name': 'Sachin'}\n"
  589. ]
  590. }
  591. ],
  592. "source": [
  593. "# Adding a key/value to a dictionary\n",
  594. "\n",
  595. "a['name']=\"Sachin\"\n",
  596. "\n",
  597. "print('after adding:',a)"
  598. ]
  599. },
  600. {
  601. "cell_type": "code",
  602. "execution_count": 44,
  603. "metadata": {},
  604. "outputs": [
  605. {
  606. "name": "stdout",
  607. "output_type": "stream",
  608. "text": [
  609. "after update: {1: 'first name', 2: 'last name', 'age': 33, 'name': 'Kohli'}\n"
  610. ]
  611. }
  612. ],
  613. "source": [
  614. "# Update a value using key\n",
  615. "\n",
  616. "a['name']='Kohli'\n",
  617. "\n",
  618. "print('after update:',a)"
  619. ]
  620. },
  621. {
  622. "cell_type": "code",
  623. "execution_count": 45,
  624. "metadata": {},
  625. "outputs": [
  626. {
  627. "name": "stdout",
  628. "output_type": "stream",
  629. "text": [
  630. "after deleting a[\"age\"]: {1: 'first name', 2: 'last name', 'name': 'Kohli'}\n"
  631. ]
  632. },
  633. {
  634. "ename": "NameError",
  635. "evalue": "name 'a' is not defined",
  636. "output_type": "error",
  637. "traceback": [
  638. "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
  639. "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)",
  640. "\u001b[0;32m<ipython-input-45-c9e1be683ef7>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;32mdel\u001b[0m \u001b[0ma\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m \u001b[0mprint\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'after deleting a'\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
  641. "\u001b[0;31mNameError\u001b[0m: name 'a' is not defined"
  642. ]
  643. }
  644. ],
  645. "source": [
  646. "# delete operations\n",
  647. "\n",
  648. "del a['age']\n",
  649. "\n",
  650. "print('after deleting a[\"age\"]:', a)\n",
  651. "\n",
  652. "del a\n",
  653. "\n",
  654. "print('after deleting a',a)"
  655. ]
  656. },
  657. {
  658. "cell_type": "code",
  659. "execution_count": 46,
  660. "metadata": {},
  661. "outputs": [
  662. {
  663. "name": "stdout",
  664. "output_type": "stream",
  665. "text": [
  666. "{1: 'first name', 2: 'last name', 'age': 33}\n"
  667. ]
  668. }
  669. ],
  670. "source": [
  671. "# copying a dictionary\n",
  672. "a = {1:\"first name\",2:\"last name\", \"age\":33}\n",
  673. "\n",
  674. "b = a.copy()\n",
  675. "\n",
  676. "print(b)\n"
  677. ]
  678. },
  679. {
  680. "cell_type": "code",
  681. "execution_count": 48,
  682. "metadata": {},
  683. "outputs": [
  684. {
  685. "name": "stdout",
  686. "output_type": "stream",
  687. "text": [
  688. "{1: 'date', 2: 'last name', 'age': 33} , {1: 'first name', 2: 'last name', 'age': 33}\n"
  689. ]
  690. }
  691. ],
  692. "source": [
  693. "a[1]='date'\n",
  694. "print(a,',',b)"
  695. ]
  696. },
  697. {
  698. "cell_type": "code",
  699. "execution_count": 49,
  700. "metadata": {},
  701. "outputs": [
  702. {
  703. "name": "stdout",
  704. "output_type": "stream",
  705. "text": [
  706. "{1: 'date', 2: 'last name', 'age': 33, 'place': 'Chennai'}\n"
  707. ]
  708. }
  709. ],
  710. "source": [
  711. "c = a\n",
  712. "\n",
  713. "c['place']='Chennai'\n",
  714. "\n",
  715. "print(a)"
  716. ]
  717. },
  718. {
  719. "cell_type": "markdown",
  720. "metadata": {},
  721. "source": [
  722. "## Branching and looping"
  723. ]
  724. },
  725. {
  726. "cell_type": "code",
  727. "execution_count": 53,
  728. "metadata": {},
  729. "outputs": [
  730. {
  731. "name": "stdout",
  732. "output_type": "stream",
  733. "text": [
  734. "true\n"
  735. ]
  736. }
  737. ],
  738. "source": [
  739. "a = [1,2,3,4,5]\n",
  740. "if 1 in a:\n",
  741. " print('true')\n",
  742. " "
  743. ]
  744. },
  745. {
  746. "cell_type": "code",
  747. "execution_count": 55,
  748. "metadata": {},
  749. "outputs": [
  750. {
  751. "name": "stdout",
  752. "output_type": "stream",
  753. "text": [
  754. "false\n"
  755. ]
  756. }
  757. ],
  758. "source": [
  759. "if 6 in a:\n",
  760. " print('true')\n",
  761. "else:\n",
  762. " print('false')"
  763. ]
  764. },
  765. {
  766. "cell_type": "code",
  767. "execution_count": 58,
  768. "metadata": {},
  769. "outputs": [
  770. {
  771. "name": "stdout",
  772. "output_type": "stream",
  773. "text": [
  774. "1 is there\n"
  775. ]
  776. }
  777. ],
  778. "source": [
  779. "if 8 in a:\n",
  780. " print('8 is there')\n",
  781. "elif 1 in a:\n",
  782. " print('1 is there')\n",
  783. "else:\n",
  784. " print('nothing')"
  785. ]
  786. },
  787. {
  788. "cell_type": "markdown",
  789. "metadata": {},
  790. "source": [
  791. "## For loop"
  792. ]
  793. },
  794. {
  795. "cell_type": "code",
  796. "execution_count": 59,
  797. "metadata": {},
  798. "outputs": [
  799. {
  800. "name": "stdout",
  801. "output_type": "stream",
  802. "text": [
  803. "0\n",
  804. "2\n",
  805. "4\n"
  806. ]
  807. }
  808. ],
  809. "source": [
  810. "for i in range(0,5,2):\n",
  811. " print(i)"
  812. ]
  813. },
  814. {
  815. "cell_type": "code",
  816. "execution_count": 61,
  817. "metadata": {},
  818. "outputs": [
  819. {
  820. "name": "stdout",
  821. "output_type": "stream",
  822. "text": [
  823. "1\n",
  824. "2\n",
  825. "3\n",
  826. "4\n",
  827. "5\n"
  828. ]
  829. }
  830. ],
  831. "source": [
  832. "for each in a:\n",
  833. " print(each)"
  834. ]
  835. },
  836. {
  837. "cell_type": "code",
  838. "execution_count": 62,
  839. "metadata": {},
  840. "outputs": [
  841. {
  842. "name": "stdout",
  843. "output_type": "stream",
  844. "text": [
  845. "0\n",
  846. "1\n",
  847. "2\n",
  848. "3\n",
  849. "4\n"
  850. ]
  851. }
  852. ],
  853. "source": [
  854. "for j in range(5):\n",
  855. " print(j)"
  856. ]
  857. },
  858. {
  859. "cell_type": "markdown",
  860. "metadata": {},
  861. "source": [
  862. "## While loop"
  863. ]
  864. },
  865. {
  866. "cell_type": "code",
  867. "execution_count": 66,
  868. "metadata": {},
  869. "outputs": [
  870. {
  871. "name": "stdout",
  872. "output_type": "stream",
  873. "text": [
  874. "1\n",
  875. "3\n",
  876. "6\n",
  877. "10\n",
  878. "15\n",
  879. "21\n",
  880. "28\n",
  881. "36\n",
  882. "45\n"
  883. ]
  884. }
  885. ],
  886. "source": [
  887. "sum = 0\n",
  888. "count = 1\n",
  889. "while (count < 10):\n",
  890. " sum = sum + count\n",
  891. " print (sum)\n",
  892. " count= count + 1"
  893. ]
  894. },
  895. {
  896. "cell_type": "code",
  897. "execution_count": 67,
  898. "metadata": {},
  899. "outputs": [
  900. {
  901. "name": "stdout",
  902. "output_type": "stream",
  903. "text": [
  904. "1\n",
  905. "3\n",
  906. "6\n",
  907. "10\n",
  908. "15\n"
  909. ]
  910. }
  911. ],
  912. "source": [
  913. "sum = 0\n",
  914. "count = 1\n",
  915. "while (count < 10):\n",
  916. " sum = sum + count\n",
  917. " print (sum)\n",
  918. " if sum == 15:\n",
  919. " break\n",
  920. " count= count + 1"
  921. ]
  922. },
  923. {
  924. "cell_type": "code",
  925. "execution_count": null,
  926. "metadata": {},
  927. "outputs": [],
  928. "source": []
  929. }
  930. ],
  931. "metadata": {
  932. "kernelspec": {
  933. "display_name": "Python 3",
  934. "language": "python",
  935. "name": "python3"
  936. },
  937. "language_info": {
  938. "codemirror_mode": {
  939. "name": "ipython",
  940. "version": 3
  941. },
  942. "file_extension": ".py",
  943. "mimetype": "text/x-python",
  944. "name": "python",
  945. "nbconvert_exporter": "python",
  946. "pygments_lexer": "ipython3",
  947. "version": "3.6.8"
  948. }
  949. },
  950. "nbformat": 4,
  951. "nbformat_minor": 2
  952. }
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