numpy tutorial.ipynb

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  {
   "cell_type": "markdown",
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   "source": [
    "# Numpy Tutorial"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "f46ff8a3",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "c6d6dec8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 2, 3, 4])"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "l = [1,2,3,4]\n",
    "a = np.array(l)\n",
    "a\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "819eff10",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[[0., 0., 0., 0.],\n",
       "         [0., 0., 0., 0.],\n",
       "         [0., 0., 0., 0.]],\n",
       "\n",
       "        [[0., 0., 0., 0.],\n",
       "         [0., 0., 0., 0.],\n",
       "         [0., 0., 0., 0.]]]])"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = np.zeros(l)\n",
    "a\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "813e0870",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[[[1., 1., 1., 1.],\n",
       "         [1., 1., 1., 1.],\n",
       "         [1., 1., 1., 1.]],\n",
       "\n",
       "        [[1., 1., 1., 1.],\n",
       "         [1., 1., 1., 1.],\n",
       "         [1., 1., 1., 1.]]]])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = np.ones(l)\n",
    "a\n"
   ]
  }
 ],
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