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  1. {
  2. "cells": [
  3. {
  4. "cell_type": "markdown",
  5. "metadata": {},
  6. "source": [
  7. "# Data science capstone week 1"
  8. ]
  9. },
  10. {
  11. "cell_type": "markdown",
  12. "metadata": {},
  13. "source": [
  14. "This notebook is the assignment of \"Data Science Capstone\" on week one. It's used to test 'git push'."
  15. ]
  16. },
  17. {
  18. "cell_type": "code",
  19. "execution_count": 6,
  20. "metadata": {},
  21. "outputs": [],
  22. "source": [
  23. "import pandas as pd\n",
  24. "import numpy as np"
  25. ]
  26. },
  27. {
  28. "cell_type": "code",
  29. "execution_count": 7,
  30. "metadata": {},
  31. "outputs": [
  32. {
  33. "name": "stdout",
  34. "output_type": "stream",
  35. "text": [
  36. "Hello Capstone Project Course!\n"
  37. ]
  38. }
  39. ],
  40. "source": [
  41. "print('Hello Capstone Project Course!')"
  42. ]
  43. }
  44. ],
  45. "metadata": {
  46. "kernelspec": {
  47. "display_name": "Python",
  48. "language": "python",
  49. "name": "conda-env-python-py"
  50. },
  51. "language_info": {
  52. "codemirror_mode": {
  53. "name": "ipython",
  54. "version": 3
  55. },
  56. "file_extension": ".py",
  57. "mimetype": "text/x-python",
  58. "name": "python",
  59. "nbconvert_exporter": "python",
  60. "pygments_lexer": "ipython3",
  61. "version": "3.6.7"
  62. }
  63. },
  64. "nbformat": 4,
  65. "nbformat_minor": 4
  66. }
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