numpy_lecture_2.ipynb

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   "source": [
    "import numpy as np"
   ]
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   "source": [
    "a = np.array([[1,2], [3,4]])\n",
    "b = np.array([[5,6], [7,8]])"
   ]
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       "array([[1, 2],\n",
       "       [3, 4]])"
      ]
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     "execution_count": 16,
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   ],
   "source": [
    "a"
   ]
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   "execution_count": 17,
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   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[5, 6],\n",
       "       [7, 8]])"
      ]
     },
     "execution_count": 17,
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   "source": [
    "b"
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  },
  {
   "cell_type": "markdown",
   "id": "042e0ad0-24b0-44c4-9c3d-1971ba4ac592",
   "metadata": {},
   "source": [
    "Addition"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "11f831e7-7639-4bb1-80e2-621b9f7c6a6d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[ 6,  8],\n",
       "       [10, 12]])"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "c = a + b\n",
    "c"
   ]
  },
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   "cell_type": "code",
   "execution_count": 11,
   "id": "056c0e64-ca23-4ee5-b398-127101e8c6cb",
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    {
     "data": {
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       "array([[ 6,  8],\n",
       "       [10, 12]])"
      ]
     },
     "execution_count": 11,
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   ],
   "source": [
    "d = np.add(a, b)\n",
    "d"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7ca80b23-639b-49ee-9650-33c3a307b43f",
   "metadata": {},
   "source": [
    "Matrix Multiplication"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "3d35be38-bd6a-4711-bf47-e93cc4682958",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[19, 22],\n",
       "       [43, 50]])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
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    }
   ],
   "source": [
    "e = a @ b\n",
    "e"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "e0809227-204e-4bc0-8d55-c42dee111b36",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[19, 22],\n",
       "       [43, 50]])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "f = np.dot(a, b)\n",
    "f"
   ]
  }
 ],
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