{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "04dc86e0",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "101289ab",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([0.4359949 , 0.02592623, 0.54966248, 0.43532239, 0.4203678 ,\n",
       "       0.33033482, 0.20464863, 0.61927097, 0.29965467, 0.26682728])"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.random.seed(2)\n",
    "np.random.rand(10)"
   ]
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
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