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May 22nd, 2019
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  1. {
  2. "cells": [
  3. {
  4. "cell_type": "code",
  5. "execution_count": 1,
  6. "metadata": {},
  7. "outputs": [],
  8. "source": [
  9. "import pandas as pd\n",
  10. "import numpy as np"
  11. ]
  12. },
  13. {
  14. "cell_type": "code",
  15. "execution_count": 3,
  16. "metadata": {},
  17. "outputs": [],
  18. "source": [
  19. "aa = np.array((1,2,3))"
  20. ]
  21. },
  22. {
  23. "cell_type": "code",
  24. "execution_count": 4,
  25. "metadata": {},
  26. "outputs": [
  27. {
  28. "data": {
  29. "text/plain": [
  30. "array([1, 2, 3])"
  31. ]
  32. },
  33. "execution_count": 4,
  34. "metadata": {},
  35. "output_type": "execute_result"
  36. }
  37. ],
  38. "source": [
  39. "aa"
  40. ]
  41. },
  42. {
  43. "cell_type": "code",
  44. "execution_count": null,
  45. "metadata": {},
  46. "outputs": [],
  47. "source": []
  48. }
  49. ],
  50. "metadata": {
  51. "kernelspec": {
  52. "display_name": "Python 3",
  53. "language": "python",
  54. "name": "python3"
  55. },
  56. "language_info": {
  57. "codemirror_mode": {
  58. "name": "ipython",
  59. "version": 3
  60. },
  61. "file_extension": ".py",
  62. "mimetype": "text/x-python",
  63. "name": "python",
  64. "nbconvert_exporter": "python",
  65. "pygments_lexer": "ipython3",
  66. "version": "3.7.3"
  67. }
  68. },
  69. "nbformat": 4,
  70. "nbformat_minor": 2
  71. }
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