Format: application/octet-stream
1 {
2 "cells": [
3 {
4 "cell_type": "code",
5 "execution_count": 1,
6 "id": "c6cc7a75",
7 "metadata": {},
8 "outputs": [],
9 "source": [
10 "import pandas as pd"
11 ]
12 },
13 {
14 "cell_type": "code",
15 "execution_count": 2,
16 "id": "0fe23e15",
17 "metadata": {},
18 "outputs": [],
19 "source": [
20 "marks= pd.read_excel('Scores-converted.xlsx')"
21 ]
22 },
23 {
24 "cell_type": "code",
25 "execution_count": 3,
26 "id": "406a00f4",
27 "metadata": {},
28 "outputs": [
29 {
30 "data": {
31 "text/html": [
32 "<div>\n",
33 "<style scoped>\n",
34 " .dataframe tbody tr th:only-of-type {\n",
35 " vertical-align: middle;\n",
36 " }\n",
37 "\n",
38 " .dataframe tbody tr th {\n",
39 " vertical-align: top;\n",
40 " }\n",
41 "\n",
42 " .dataframe thead th {\n",
43 " text-align: right;\n",
44 " }\n",
45 "</style>\n",
46 "<table border=\"1\" class=\"dataframe\">\n",
47 " <thead>\n",
48 " <tr style=\"text-align: right;\">\n",
49 " <th></th>\n",
50 " <th>CardNo</th>\n",
51 " <th>Name</th>\n",
52 " <th>Gender</th>\n",
53 " <th>DateOfBirth</th>\n",
54 " <th>CityTown</th>\n",
55 " <th>Mathematics</th>\n",
56 " <th>Physics</th>\n",
57 " <th>Chemistry</th>\n",
58 " <th>Total</th>\n",
59 " </tr>\n",
60 " </thead>\n",
61 " <tbody>\n",
62 " <tr>\n",
63 " <th>0</th>\n",
64 " <td>0</td>\n",
65 " <td>Bhuvanesh</td>\n",
66 " <td>M</td>\n",
67 " <td>7 Nov</td>\n",
68 " <td>Erode</td>\n",
69 " <td>68</td>\n",
70 " <td>64</td>\n",
71 " <td>78</td>\n",
72 " <td>210</td>\n",
73 " </tr>\n",
74 " <tr>\n",
75 " <th>1</th>\n",
76 " <td>1</td>\n",
77 " <td>Harish</td>\n",
78 " <td>M</td>\n",
79 " <td>3 Jun</td>\n",
80 " <td>Salem</td>\n",
81 " <td>62</td>\n",
82 " <td>45</td>\n",
83 " <td>91</td>\n",
84 " <td>198</td>\n",
85 " </tr>\n",
86 " <tr>\n",
87 " <th>2</th>\n",
88 " <td>2</td>\n",
89 " <td>Shashank</td>\n",
90 " <td>M</td>\n",
91 " <td>4 Jan</td>\n",
92 " <td>Chennai</td>\n",
93 " <td>57</td>\n",
94 " <td>54</td>\n",
95 " <td>77</td>\n",
96 " <td>188</td>\n",
97 " </tr>\n",
98 " <tr>\n",
99 " <th>3</th>\n",
100 " <td>3</td>\n",
101 " <td>Rida</td>\n",
102 " <td>F</td>\n",
103 " <td>5 May</td>\n",
104 " <td>Chennai</td>\n",
105 " <td>42</td>\n",
106 " <td>53</td>\n",
107 " <td>78</td>\n",
108 " <td>173</td>\n",
109 " </tr>\n",
110 " <tr>\n",
111 " <th>4</th>\n",
112 " <td>4</td>\n",
113 " <td>Ritika</td>\n",
114 " <td>F</td>\n",
115 " <td>17 Nov</td>\n",
116 " <td>Madurai</td>\n",
117 " <td>87</td>\n",
118 " <td>64</td>\n",
119 " <td>89</td>\n",
120 " <td>240</td>\n",
121 " </tr>\n",
122 " <tr>\n",
123 " <th>5</th>\n",
124 " <td>5</td>\n",
125 " <td>Akshaya</td>\n",
126 " <td>F</td>\n",
127 " <td>8 Feb</td>\n",
128 " <td>Chennai</td>\n",
129 " <td>71</td>\n",
130 " <td>92</td>\n",
131 " <td>84</td>\n",
132 " <td>247</td>\n",
133 " </tr>\n",
134 " <tr>\n",
135 " <th>6</th>\n",
136 " <td>6</td>\n",
137 " <td>Sameer</td>\n",
138 " <td>M</td>\n",
139 " <td>23 Mar</td>\n",
140 " <td>Ambur</td>\n",
141 " <td>81</td>\n",
142 " <td>82</td>\n",
143 " <td>87</td>\n",
144 " <td>250</td>\n",
145 " </tr>\n",
146 " <tr>\n",
147 " <th>7</th>\n",
148 " <td>7</td>\n",
149 " <td>Aditya</td>\n",
150 " <td>M</td>\n",
151 " <td>15 Mar</td>\n",
152 " <td>Vellore</td>\n",
153 " <td>84</td>\n",
154 " <td>92</td>\n",
155 " <td>76</td>\n",
156 " <td>252</td>\n",
157 " </tr>\n",
158 " <tr>\n",
159 " <th>8</th>\n",
160 " <td>8</td>\n",
161 " <td>Surya</td>\n",
162 " <td>M</td>\n",
163 " <td>28 Feb</td>\n",
164 " <td>Bengaluru</td>\n",
165 " <td>74</td>\n",
166 " <td>64</td>\n",
167 " <td>51</td>\n",
168 " <td>189</td>\n",
169 " </tr>\n",
170 " <tr>\n",
171 " <th>9</th>\n",
172 " <td>9</td>\n",
173 " <td>Clarence</td>\n",
174 " <td>M</td>\n",
175 " <td>6 Dec</td>\n",
176 " <td>Bengaluru</td>\n",
177 " <td>63</td>\n",
178 " <td>88</td>\n",
179 " <td>73</td>\n",
180 " <td>224</td>\n",
181 " </tr>\n",
182 " <tr>\n",
183 " <th>10</th>\n",
184 " <td>10</td>\n",
185 " <td>Kavya</td>\n",
186 " <td>F</td>\n",
187 " <td>12 Jan</td>\n",
188 " <td>Chennai</td>\n",
189 " <td>64</td>\n",
190 " <td>72</td>\n",
191 " <td>68</td>\n",
192 " <td>204</td>\n",
193 " </tr>\n",
194 " <tr>\n",
195 " <th>11</th>\n",
196 " <td>11</td>\n",
197 " <td>Rahul</td>\n",
198 " <td>M</td>\n",
199 " <td>30 Apr</td>\n",
200 " <td>Bengaluru</td>\n",
201 " <td>97</td>\n",
202 " <td>92</td>\n",
203 " <td>92</td>\n",
204 " <td>281</td>\n",
205 " </tr>\n",
206 " <tr>\n",
207 " <th>12</th>\n",
208 " <td>12</td>\n",
209 " <td>Srinidhi</td>\n",
210 " <td>F</td>\n",
211 " <td>14 Jan</td>\n",
212 " <td>Chennai</td>\n",
213 " <td>52</td>\n",
214 " <td>64</td>\n",
215 " <td>71</td>\n",
216 " <td>187</td>\n",
217 " </tr>\n",
218 " <tr>\n",
219 " <th>13</th>\n",
220 " <td>13</td>\n",
221 " <td>Gopi</td>\n",
222 " <td>M</td>\n",
223 " <td>6 May</td>\n",
224 " <td>Madurai</td>\n",
225 " <td>65</td>\n",
226 " <td>73</td>\n",
227 " <td>89</td>\n",
228 " <td>227</td>\n",
229 " </tr>\n",
230 " <tr>\n",
231 " <th>14</th>\n",
232 " <td>14</td>\n",
233 " <td>Sophia</td>\n",
234 " <td>F</td>\n",
235 " <td>23 July</td>\n",
236 " <td>Trichy</td>\n",
237 " <td>89</td>\n",
238 " <td>62</td>\n",
239 " <td>93</td>\n",
240 " <td>244</td>\n",
241 " </tr>\n",
242 " <tr>\n",
243 " <th>15</th>\n",
244 " <td>15</td>\n",
245 " <td>Goutami</td>\n",
246 " <td>F</td>\n",
247 " <td>22 Sep</td>\n",
248 " <td>Theni</td>\n",
249 " <td>76</td>\n",
250 " <td>58</td>\n",
251 " <td>90</td>\n",
252 " <td>224</td>\n",
253 " </tr>\n",
254 " <tr>\n",
255 " <th>16</th>\n",
256 " <td>16</td>\n",
257 " <td>Tauseef</td>\n",
258 " <td>M</td>\n",
259 " <td>30 Dec</td>\n",
260 " <td>Trichy</td>\n",
261 " <td>87</td>\n",
262 " <td>86</td>\n",
263 " <td>43</td>\n",
264 " <td>216</td>\n",
265 " </tr>\n",
266 " <tr>\n",
267 " <th>17</th>\n",
268 " <td>17</td>\n",
269 " <td>Arshad</td>\n",
270 " <td>M</td>\n",
271 " <td>14 Dec</td>\n",
272 " <td>Chennai</td>\n",
273 " <td>62</td>\n",
274 " <td>81</td>\n",
275 " <td>67</td>\n",
276 " <td>210</td>\n",
277 " </tr>\n",
278 " <tr>\n",
279 " <th>18</th>\n",
280 " <td>18</td>\n",
281 " <td>Abirami</td>\n",
282 " <td>F</td>\n",
283 " <td>9 Oct</td>\n",
284 " <td>Erode</td>\n",
285 " <td>72</td>\n",
286 " <td>92</td>\n",
287 " <td>97</td>\n",
288 " <td>261</td>\n",
289 " </tr>\n",
290 " <tr>\n",
291 " <th>19</th>\n",
292 " <td>19</td>\n",
293 " <td>Vetrivel</td>\n",
294 " <td>M</td>\n",
295 " <td>30 Aug</td>\n",
296 " <td>Trichy</td>\n",
297 " <td>56</td>\n",
298 " <td>78</td>\n",
299 " <td>62</td>\n",
300 " <td>196</td>\n",
301 " </tr>\n",
302 " <tr>\n",
303 " <th>20</th>\n",
304 " <td>20</td>\n",
305 " <td>Kalyan</td>\n",
306 " <td>M</td>\n",
307 " <td>17 Sep</td>\n",
308 " <td>Vellore</td>\n",
309 " <td>93</td>\n",
310 " <td>68</td>\n",
311 " <td>91</td>\n",
312 " <td>252</td>\n",
313 " </tr>\n",
314 " <tr>\n",
315 " <th>21</th>\n",
316 " <td>21</td>\n",
317 " <td>Monika</td>\n",
318 " <td>F</td>\n",
319 " <td>15 Mar</td>\n",
320 " <td>Bengaluru</td>\n",
321 " <td>78</td>\n",
322 " <td>69</td>\n",
323 " <td>74</td>\n",
324 " <td>221</td>\n",
325 " </tr>\n",
326 " <tr>\n",
327 " <th>22</th>\n",
328 " <td>22</td>\n",
329 " <td>Priya</td>\n",
330 " <td>F</td>\n",
331 " <td>17 Jul</td>\n",
332 " <td>Nagercoil</td>\n",
333 " <td>62</td>\n",
334 " <td>62</td>\n",
335 " <td>57</td>\n",
336 " <td>181</td>\n",
337 " </tr>\n",
338 " <tr>\n",
339 " <th>23</th>\n",
340 " <td>23</td>\n",
341 " <td>Deepika</td>\n",
342 " <td>F</td>\n",
343 " <td>13 May</td>\n",
344 " <td>Bengaluru</td>\n",
345 " <td>97</td>\n",
346 " <td>91</td>\n",
347 " <td>88</td>\n",
348 " <td>276</td>\n",
349 " </tr>\n",
350 " <tr>\n",
351 " <th>24</th>\n",
352 " <td>24</td>\n",
353 " <td>Siddharth</td>\n",
354 " <td>M</td>\n",
355 " <td>26 Dec</td>\n",
356 " <td>Madurai</td>\n",
357 " <td>44</td>\n",
358 " <td>72</td>\n",
359 " <td>58</td>\n",
360 " <td>174</td>\n",
361 " </tr>\n",
362 " <tr>\n",
363 " <th>25</th>\n",
364 " <td>25</td>\n",
365 " <td>Geeta</td>\n",
366 " <td>F</td>\n",
367 " <td>16 May</td>\n",
368 " <td>Chennai</td>\n",
369 " <td>87</td>\n",
370 " <td>75</td>\n",
371 " <td>92</td>\n",
372 " <td>254</td>\n",
373 " </tr>\n",
374 " <tr>\n",
375 " <th>26</th>\n",
376 " <td>26</td>\n",
377 " <td>JK</td>\n",
378 " <td>M</td>\n",
379 " <td>22 Jul</td>\n",
380 " <td>Chennai</td>\n",
381 " <td>74</td>\n",
382 " <td>71</td>\n",
383 " <td>82</td>\n",
384 " <td>227</td>\n",
385 " </tr>\n",
386 " <tr>\n",
387 " <th>27</th>\n",
388 " <td>27</td>\n",
389 " <td>Jagan</td>\n",
390 " <td>M</td>\n",
391 " <td>4 Mar</td>\n",
392 " <td>Madurai</td>\n",
393 " <td>81</td>\n",
394 " <td>76</td>\n",
395 " <td>52</td>\n",
396 " <td>209</td>\n",
397 " </tr>\n",
398 " <tr>\n",
399 " <th>28</th>\n",
400 " <td>28</td>\n",
401 " <td>Nisha</td>\n",
402 " <td>F</td>\n",
403 " <td>10 Sep</td>\n",
404 " <td>Madurai</td>\n",
405 " <td>74</td>\n",
406 " <td>83</td>\n",
407 " <td>83</td>\n",
408 " <td>240</td>\n",
409 " </tr>\n",
410 " <tr>\n",
411 " <th>29</th>\n",
412 " <td>29</td>\n",
413 " <td>Naveen</td>\n",
414 " <td>M</td>\n",
415 " <td>13 Oct</td>\n",
416 " <td>Vellore</td>\n",
417 " <td>72</td>\n",
418 " <td>66</td>\n",
419 " <td>81</td>\n",
420 " <td>219</td>\n",
421 " </tr>\n",
422 " </tbody>\n",
423 "</table>\n",
424 "</div>"
425 ],
426 "text/plain": [
427 " CardNo Name Gender DateOfBirth CityTown Mathematics Physics \\\n",
428 "0 0 Bhuvanesh M 7 Nov Erode 68 64 \n",
429 "1 1 Harish M 3 Jun Salem 62 45 \n",
430 "2 2 Shashank M 4 Jan Chennai 57 54 \n",
431 "3 3 Rida F 5 May Chennai 42 53 \n",
432 "4 4 Ritika F 17 Nov Madurai 87 64 \n",
433 "5 5 Akshaya F 8 Feb Chennai 71 92 \n",
434 "6 6 Sameer M 23 Mar Ambur 81 82 \n",
435 "7 7 Aditya M 15 Mar Vellore 84 92 \n",
436 "8 8 Surya M 28 Feb Bengaluru 74 64 \n",
437 "9 9 Clarence M 6 Dec Bengaluru 63 88 \n",
438 "10 10 Kavya F 12 Jan Chennai 64 72 \n",
439 "11 11 Rahul M 30 Apr Bengaluru 97 92 \n",
440 "12 12 Srinidhi F 14 Jan Chennai 52 64 \n",
441 "13 13 Gopi M 6 May Madurai 65 73 \n",
442 "14 14 Sophia F 23 July Trichy 89 62 \n",
443 "15 15 Goutami F 22 Sep Theni 76 58 \n",
444 "16 16 Tauseef M 30 Dec Trichy 87 86 \n",
445 "17 17 Arshad M 14 Dec Chennai 62 81 \n",
446 "18 18 Abirami F 9 Oct Erode 72 92 \n",
447 "19 19 Vetrivel M 30 Aug Trichy 56 78 \n",
448 "20 20 Kalyan M 17 Sep Vellore 93 68 \n",
449 "21 21 Monika F 15 Mar Bengaluru 78 69 \n",
450 "22 22 Priya F 17 Jul Nagercoil 62 62 \n",
451 "23 23 Deepika F 13 May Bengaluru 97 91 \n",
452 "24 24 Siddharth M 26 Dec Madurai 44 72 \n",
453 "25 25 Geeta F 16 May Chennai 87 75 \n",
454 "26 26 JK M 22 Jul Chennai 74 71 \n",
455 "27 27 Jagan M 4 Mar Madurai 81 76 \n",
456 "28 28 Nisha F 10 Sep Madurai 74 83 \n",
457 "29 29 Naveen M 13 Oct Vellore 72 66 \n",
458 "\n",
459 " Chemistry Total \n",
460 "0 78 210 \n",
461 "1 91 198 \n",
462 "2 77 188 \n",
463 "3 78 173 \n",
464 "4 89 240 \n",
465 "5 84 247 \n",
466 "6 87 250 \n",
467 "7 76 252 \n",
468 "8 51 189 \n",
469 "9 73 224 \n",
470 "10 68 204 \n",
471 "11 92 281 \n",
472 "12 71 187 \n",
473 "13 89 227 \n",
474 "14 93 244 \n",
475 "15 90 224 \n",
476 "16 43 216 \n",
477 "17 67 210 \n",
478 "18 97 261 \n",
479 "19 62 196 \n",
480 "20 91 252 \n",
481 "21 74 221 \n",
482 "22 57 181 \n",
483 "23 88 276 \n",
484 "24 58 174 \n",
485 "25 92 254 \n",
486 "26 82 227 \n",
487 "27 52 209 \n",
488 "28 83 240 \n",
489 "29 81 219 "
490 ]
491 },
492 "execution_count": 3,
493 "metadata": {},
494 "output_type": "execute_result"
495 }
496 ],
497 "source": [
498 "marks"
499 ]
500 },
501 {
502 "cell_type": "code",
503 "execution_count": 5,
504 "id": "ea91a02e",
505 "metadata": {},
506 "outputs": [],
507 "source": [
508 "a,b,c=0,0,0"
509 ]
510 },
511 {
512 "cell_type": "code",
513 "execution_count": 9,
514 "id": "1d62c14b",
515 "metadata": {},
516 "outputs": [],
517 "source": [
518 "for i in range(len(marks)):\n",
519 " if marks['Total'][i]< a:\n",
520 " pass\n",
521 " else:\n",
522 " a= marks['Total'][i]\n",
523 " if marks['Mathematics'][i]<b:\n",
524 " pass\n",
525 " else:\n",
526 " b= marks['Mathematics'][i]\n",
527 " c= marks['CardNo'][i]"
528 ]
529 },
530 {
531 "cell_type": "code",
532 "execution_count": 10,
533 "id": "6e7db7f6",
534 "metadata": {},
535 "outputs": [
536 {
537 "data": {
538 "text/plain": [
539 "281"
540 ]
541 },
542 "execution_count": 10,
543 "metadata": {},
544 "output_type": "execute_result"
545 }
546 ],
547 "source": [
548 "a"
549 ]
550 },
551 {
552 "cell_type": "code",
553 "execution_count": 11,
554 "id": "c0f558da",
555 "metadata": {},
556 "outputs": [
557 {
558 "data": {
559 "text/plain": [
560 "97"
561 ]
562 },
563 "execution_count": 11,
564 "metadata": {},
565 "output_type": "execute_result"
566 }
567 ],
568 "source": [
569 "b"
570 ]
571 },
572 {
573 "cell_type": "code",
574 "execution_count": 12,
575 "id": "6a9bfd3f",
576 "metadata": {},
577 "outputs": [
578 {
579 "data": {
580 "text/plain": [
581 "11"
582 ]
583 },
584 "execution_count": 12,
585 "metadata": {},
586 "output_type": "execute_result"
587 }
588 ],
589 "source": [
590 "c"
591 ]
592 },
593 {
594 "cell_type": "code",
595 "execution_count": null,
596 "id": "f7a69653",
597 "metadata": {},
598 "outputs": [],
599 "source": []
600 },
601 {
602 "cell_type": "code",
603 "execution_count": null,
604 "id": "dfc92580",
605 "metadata": {},
606 "outputs": [],
607 "source": []
608 },
609 {
610 "cell_type": "code",
611 "execution_count": null,
612 "id": "0dee6103",
613 "metadata": {},
614 "outputs": [],
615 "source": []
616 },
617 {
618 "cell_type": "code",
619 "execution_count": null,
620 "id": "aa4da065",
621 "metadata": {},
622 "outputs": [],
623 "source": []
624 },
625 {
626 "cell_type": "code",
627 "execution_count": null,
628 "id": "8b1e0ead",
629 "metadata": {},
630 "outputs": [],
631 "source": []
632 },
633 {
634 "cell_type": "code",
635 "execution_count": null,
636 "id": "dae7316f",
637 "metadata": {},
638 "outputs": [],
639 "source": []
640 },
641 {
642 "cell_type": "code",
643 "execution_count": null,
644 "id": "76397282",
645 "metadata": {},
646 "outputs": [],
647 "source": []
648 },
649 {
650 "cell_type": "code",
651 "execution_count": null,
652 "id": "f8508335",
653 "metadata": {},
654 "outputs": [],
655 "source": []
656 },
657 {
658 "cell_type": "code",
659 "execution_count": null,
660 "id": "ab0dad46",
661 "metadata": {},
662 "outputs": [],
663 "source": []
664 },
665 {
666 "cell_type": "code",
667 "execution_count": null,
668 "id": "92ec48e2",
669 "metadata": {},
670 "outputs": [],
671 "source": []
672 },
673 {
674 "cell_type": "code",
675 "execution_count": null,
676 "id": "fad04b9f",
677 "metadata": {},
678 "outputs": [],
679 "source": []
680 },
681 {
682 "cell_type": "code",
683 "execution_count": null,
684 "id": "b6063236",
685 "metadata": {},
686 "outputs": [],
687 "source": []
688 },
689 {
690 "cell_type": "code",
691 "execution_count": null,
692 "id": "c06e30ed",
693 "metadata": {},
694 "outputs": [],
695 "source": []
696 },
697 {
698 "cell_type": "code",
699 "execution_count": null,
700 "id": "ef15be6b",
701 "metadata": {},
702 "outputs": [],
703 "source": []
704 },
705 {
706 "cell_type": "code",
707 "execution_count": null,
708 "id": "92ff6db5",
709 "metadata": {},
710 "outputs": [],
711 "source": []
712 },
713 {
714 "cell_type": "code",
715 "execution_count": null,
716 "id": "af593214",
717 "metadata": {},
718 "outputs": [],
719 "source": []
720 },
721 {
722 "cell_type": "code",
723 "execution_count": 1,
724 "id": "78aa43be",
725 "metadata": {},
726 "outputs": [],
727 "source": [
728 "a=set([x for x in range(7,26) if x%3==0])"
729 ]
730 },
731 {
732 "cell_type": "code",
733 "execution_count": 2,
734 "id": "d0b4486b",
735 "metadata": {},
736 "outputs": [],
737 "source": [
738 "b=set([x for x in range(15,56) if x%6==0])"
739 ]
740 },
741 {
742 "cell_type": "code",
743 "execution_count": 3,
744 "id": "330d413b",
745 "metadata": {},
746 "outputs": [],
747 "source": [
748 "c=set([x for x in range(15,61) if x%7==0])"
749 ]
750 },
751 {
752 "cell_type": "code",
753 "execution_count": 4,
754 "id": "a95c86d3",
755 "metadata": {},
756 "outputs": [
757 {
758 "name": "stdout",
759 "output_type": "stream",
760 "text": [
761 "{9, 12, 15, 18, 21, 24}\n",
762 "{36, 42, 48, 18, 54, 24, 30}\n",
763 "{35, 42, 49, 21, 56, 28}\n"
764 ]
765 }
766 ],
767 "source": [
768 "print(a)\n",
769 "print(b)\n",
770 "print(c)"
771 ]
772 },
773 {
774 "cell_type": "code",
775 "execution_count": null,
776 "id": "6a7475c6",
777 "metadata": {},
778 "outputs": [],
779 "source": []
780 },
781 {
782 "cell_type": "code",
783 "execution_count": 5,
784 "id": "39419aba",
785 "metadata": {},
786 "outputs": [],
787 "source": [
788 "d=a.difference(b.union(c)).union(b.difference(a.union(c))).union(c.difference(b.union(a)))"
789 ]
790 },
791 {
792 "cell_type": "code",
793 "execution_count": 6,
794 "id": "ba69772b",
795 "metadata": {},
796 "outputs": [
797 {
798 "data": {
799 "text/plain": [
800 "{9, 12, 15, 28, 30, 35, 36, 48, 49, 54, 56}"
801 ]
802 },
803 "execution_count": 6,
804 "metadata": {},
805 "output_type": "execute_result"
806 }
807 ],
808 "source": [
809 "d"
810 ]
811 },
812 {
813 "cell_type": "code",
814 "execution_count": 7,
815 "id": "cd28f096",
816 "metadata": {},
817 "outputs": [
818 {
819 "data": {
820 "text/plain": [
821 "11"
822 ]
823 },
824 "execution_count": 7,
825 "metadata": {},
826 "output_type": "execute_result"
827 }
828 ],
829 "source": [
830 "len(d)"
831 ]
832 },
833 {
834 "cell_type": "code",
835 "execution_count": 16,
836 "id": "8333b4a1",
837 "metadata": {},
838 "outputs": [],
839 "source": [
840 "import matplotlib.pyplot as plt\n",
841 "%notebook matplotlib"
842 ]
843 },
844 {
845 "cell_type": "code",
846 "execution_count": null,
847 "id": "ea3fae06",
848 "metadata": {},
849 "outputs": [],
850 "source": []
851 },
852 {
853 "cell_type": "code",
854 "execution_count": null,
855 "id": "ea1f4f1a",
856 "metadata": {},
857 "outputs": [],
858 "source": []
859 },
860 {
861 "cell_type": "code",
862 "execution_count": null,
863 "id": "d4cc1b90",
864 "metadata": {},
865 "outputs": [],
866 "source": []
867 },
868 {
869 "cell_type": "code",
870 "execution_count": 19,
871 "id": "86655498",
872 "metadata": {},
873 "outputs": [
874 {
875 "data": {
876 "text/plain": [
877 "21"
878 ]
879 },
880 "execution_count": 19,
881 "metadata": {},
882 "output_type": "execute_result"
883 }
884 ],
885 "source": [
886 "130-len([x for x in range(1,131) if x%2==0])-len([x for x in range(1,131) if x%5==0])-len([x for x in range(1,131) if x%7==0])"
887 ]
888 },
889 {
890 "cell_type": "code",
891 "execution_count": 8,
892 "id": "c8e2b3c8",
893 "metadata": {},
894 "outputs": [],
895 "source": [
896 "x=3/2"
897 ]
898 },
899 {
900 "cell_type": "code",
901 "execution_count": null,
902 "id": "6b5f5c03",
903 "metadata": {},
904 "outputs": [],
905 "source": []
906 }
907 ],
908 "metadata": {
909 "kernelspec": {
910 "display_name": "Python 3",
911 "language": "python",
912 "name": "python3"
913 },
914 "language_info": {
915 "codemirror_mode": {
916 "name": "ipython",
917 "version": 3
918 },
919 "file_extension": ".py",
920 "mimetype": "text/x-python",
921 "name": "python",
922 "nbconvert_exporter": "python",
923 "pygments_lexer": "ipython3",
924 "version": "3.8.8"
925 }
926 },
927 "nbformat": 4,
928 "nbformat_minor": 5
929 }
930