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Sep 22nd, 2019
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  1. {
  2. "cells": [
  3. {
  4. "cell_type": "markdown",
  5. "metadata": {},
  6. "source": [
  7. "This notebook is created for the Capstone project of the IBM Data Science Capstone course from Coursera"
  8. ]
  9. },
  10. {
  11. "cell_type": "code",
  12. "execution_count": 1,
  13. "metadata": {},
  14. "outputs": [
  15. {
  16. "name": "stdout",
  17. "output_type": "stream",
  18. "text": [
  19. "Hello Capstone Project Course!\n"
  20. ]
  21. }
  22. ],
  23. "source": [
  24. "import pandas as pd\n",
  25. "import numpy as np\n",
  26. "print(\"Hello Capstone Project Course!\")"
  27. ]
  28. },
  29. {
  30. "cell_type": "code",
  31. "execution_count": null,
  32. "metadata": {},
  33. "outputs": [],
  34. "source": []
  35. }
  36. ],
  37. "metadata": {
  38. "kernelspec": {
  39. "display_name": "Python",
  40. "language": "python",
  41. "name": "conda-env-python-py"
  42. },
  43. "language_info": {
  44. "codemirror_mode": {
  45. "name": "ipython",
  46. "version": 3
  47. },
  48. "file_extension": ".py",
  49. "mimetype": "text/x-python",
  50. "name": "python",
  51. "nbconvert_exporter": "python",
  52. "pygments_lexer": "ipython3",
  53. "version": "3.6.7"
  54. }
  55. },
  56. "nbformat": 4,
  57. "nbformat_minor": 4
  58. }
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