Numpy Mathematics.ipynb

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 "cells": [
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "a = np.array([1,2,3,4])\n",
    "print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
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   "source": [
    "print(a +2)\n",
    "print(a-2)\n",
    "print(a*2)\n",
    "print(a/2)\n",
    "b= np.array([1,0,1,0])\n",
    "print(a+b)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
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   "outputs": [],
   "source": [
    "np.cos(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
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   "outputs": [],
   "source": [
    " # Linear Algebra\n",
    " a= np.full((2,3), 1)\n",
    " print(a)\n",
    " print()\n",
    " b= np.full((3,2), 2)\n",
    " print(b)\n",
    " print()\n",
    " print(np.matmul(a, b))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Finding the determinant of a matrix\n",
    "c = np.identity(10)\n",
    "np.linalg.det(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "#Statistics\n",
    "stats = np.array([[1,2,3],[4,5,6]])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Get the minimum and maximum value of an array\n",
    "print(np.min(stats))\n",
    "print(np.max(stats))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Get the sum of the values of an array\n",
    "np.sum(stats)"
   ]
  }
 ]
}