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@alastair
Last active March 26, 2022 14:27
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{
"metadata": {
"name": "Untitled1"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
"cell_type": "code",
"collapsed": false,
"input": "import numpy",
"language": "python",
"metadata": {},
"outputs": [],
"prompt_number": 1
},
{
"cell_type": "code",
"collapsed": false,
"input": "arange(1000)",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 2,
"text": "array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12,\n 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25,\n 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38,\n 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51,\n 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64,\n 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77,\n 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90,\n 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103,\n 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116,\n 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129,\n 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142,\n 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155,\n 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168,\n 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181,\n 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194,\n 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207,\n 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220,\n 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233,\n 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246,\n 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259,\n 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272,\n 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285,\n 286, 287, 288, 289, 290, 291, 292, 293, 294, 295, 296, 297, 298,\n 299, 300, 301, 302, 303, 304, 305, 306, 307, 308, 309, 310, 311,\n 312, 313, 314, 315, 316, 317, 318, 319, 320, 321, 322, 323, 324,\n 325, 326, 327, 328, 329, 330, 331, 332, 333, 334, 335, 336, 337,\n 338, 339, 340, 341, 342, 343, 344, 345, 346, 347, 348, 349, 350,\n 351, 352, 353, 354, 355, 356, 357, 358, 359, 360, 361, 362, 363,\n 364, 365, 366, 367, 368, 369, 370, 371, 372, 373, 374, 375, 376,\n 377, 378, 379, 380, 381, 382, 383, 384, 385, 386, 387, 388, 389,\n 390, 391, 392, 393, 394, 395, 396, 397, 398, 399, 400, 401, 402,\n 403, 404, 405, 406, 407, 408, 409, 410, 411, 412, 413, 414, 415,\n 416, 417, 418, 419, 420, 421, 422, 423, 424, 425, 426, 427, 428,\n 429, 430, 431, 432, 433, 434, 435, 436, 437, 438, 439, 440, 441,\n 442, 443, 444, 445, 446, 447, 448, 449, 450, 451, 452, 453, 454,\n 455, 456, 457, 458, 459, 460, 461, 462, 463, 464, 465, 466, 467,\n 468, 469, 470, 471, 472, 473, 474, 475, 476, 477, 478, 479, 480,\n 481, 482, 483, 484, 485, 486, 487, 488, 489, 490, 491, 492, 493,\n 494, 495, 496, 497, 498, 499, 500, 501, 502, 503, 504, 505, 506,\n 507, 508, 509, 510, 511, 512, 513, 514, 515, 516, 517, 518, 519,\n 520, 521, 522, 523, 524, 525, 526, 527, 528, 529, 530, 531, 532,\n 533, 534, 535, 536, 537, 538, 539, 540, 541, 542, 543, 544, 545,\n 546, 547, 548, 549, 550, 551, 552, 553, 554, 555, 556, 557, 558,\n 559, 560, 561, 562, 563, 564, 565, 566, 567, 568, 569, 570, 571,\n 572, 573, 574, 575, 576, 577, 578, 579, 580, 581, 582, 583, 584,\n 585, 586, 587, 588, 589, 590, 591, 592, 593, 594, 595, 596, 597,\n 598, 599, 600, 601, 602, 603, 604, 605, 606, 607, 608, 609, 610,\n 611, 612, 613, 614, 615, 616, 617, 618, 619, 620, 621, 622, 623,\n 624, 625, 626, 627, 628, 629, 630, 631, 632, 633, 634, 635, 636,\n 637, 638, 639, 640, 641, 642, 643, 644, 645, 646, 647, 648, 649,\n 650, 651, 652, 653, 654, 655, 656, 657, 658, 659, 660, 661, 662,\n 663, 664, 665, 666, 667, 668, 669, 670, 671, 672, 673, 674, 675,\n 676, 677, 678, 679, 680, 681, 682, 683, 684, 685, 686, 687, 688,\n 689, 690, 691, 692, 693, 694, 695, 696, 697, 698, 699, 700, 701,\n 702, 703, 704, 705, 706, 707, 708, 709, 710, 711, 712, 713, 714,\n 715, 716, 717, 718, 719, 720, 721, 722, 723, 724, 725, 726, 727,\n 728, 729, 730, 731, 732, 733, 734, 735, 736, 737, 738, 739, 740,\n 741, 742, 743, 744, 745, 746, 747, 748, 749, 750, 751, 752, 753,\n 754, 755, 756, 757, 758, 759, 760, 761, 762, 763, 764, 765, 766,\n 767, 768, 769, 770, 771, 772, 773, 774, 775, 776, 777, 778, 779,\n 780, 781, 782, 783, 784, 785, 786, 787, 788, 789, 790, 791, 792,\n 793, 794, 795, 796, 797, 798, 799, 800, 801, 802, 803, 804, 805,\n 806, 807, 808, 809, 810, 811, 812, 813, 814, 815, 816, 817, 818,\n 819, 820, 821, 822, 823, 824, 825, 826, 827, 828, 829, 830, 831,\n 832, 833, 834, 835, 836, 837, 838, 839, 840, 841, 842, 843, 844,\n 845, 846, 847, 848, 849, 850, 851, 852, 853, 854, 855, 856, 857,\n 858, 859, 860, 861, 862, 863, 864, 865, 866, 867, 868, 869, 870,\n 871, 872, 873, 874, 875, 876, 877, 878, 879, 880, 881, 882, 883,\n 884, 885, 886, 887, 888, 889, 890, 891, 892, 893, 894, 895, 896,\n 897, 898, 899, 900, 901, 902, 903, 904, 905, 906, 907, 908, 909,\n 910, 911, 912, 913, 914, 915, 916, 917, 918, 919, 920, 921, 922,\n 923, 924, 925, 926, 927, 928, 929, 930, 931, 932, 933, 934, 935,\n 936, 937, 938, 939, 940, 941, 942, 943, 944, 945, 946, 947, 948,\n 949, 950, 951, 952, 953, 954, 955, 956, 957, 958, 959, 960, 961,\n 962, 963, 964, 965, 966, 967, 968, 969, 970, 971, 972, 973, 974,\n 975, 976, 977, 978, 979, 980, 981, 982, 983, 984, 985, 986, 987,\n 988, 989, 990, 991, 992, 993, 994, 995, 996, 997, 998, 999])"
}
],
"prompt_number": 2
},
{
"cell_type": "code",
"collapsed": false,
"input": "2",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 5,
"text": "2"
}
],
"prompt_number": 5
},
{
"cell_type": "code",
"collapsed": false,
"input": "Out[3] + 2",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 4,
"text": "7"
}
],
"prompt_number": 4
},
{
"cell_type": "markdown",
"metadata": {},
"source": "Plots\n======\nHere is a plot"
},
{
"cell_type": "code",
"collapsed": false,
"input": "plot(arange(100))",
"language": "python",
"metadata": {},
"outputs": [
{
"output_type": "pyout",
"prompt_number": 6,
"text": "[<matplotlib.lines.Line2D at 0x2040ed0>]"
},
{
"output_type": "display_data",
"png": 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}
],
"prompt_number": 6
},
{
"cell_type": "code",
"collapsed": false,
"input": "",
"language": "python",
"metadata": {},
"outputs": []
}
],
"metadata": {}
}
]
}
@adikamath
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How is your notebook already rendered in the gist? When I copy and paste the code of my jupyter notebook in the gist, it doesn't render to show me the output like in yours here. Any help is appreciated. Thanks!

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