Untitled1.ipynb

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  {
   "cell_type": "code",
   "execution_count": null,
   "id": "6000b383",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(\"hello world\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "691f113c",
   "metadata": {},
   "outputs": [],
   "source": [
    "#create an array\n",
    "import numpy as np\n",
    "a= np.array ([2,4,6,8,10])\n",
    "print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4c2fd53b",
   "metadata": {},
   "outputs": [],
   "source": [
    "#create an array\n",
    "import numpy as an\n",
    "a=np.array([1,2,3,4])\n",
    "print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c1fb092e",
   "metadata": {},
   "outputs": [],
   "source": [
    "#create an arry using arange\n",
    "import numpy as np \n",
    "a= np.arange(1, 11,2)\n",
    "print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "7aa11a33",
   "metadata": {},
   "outputs": [],
   "source": [
    "#create an arry of all zero\n",
    "import numpy as np\n",
    "p=np.zeros((3,3))\n",
    "print(p)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "35111112",
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "saving=200*1.1**7\n",
    "print(saving)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ce5a7b7c",
   "metadata": {},
   "outputs": [],
   "source": [
    "c=np.full((2,2), 4)\n",
    "print(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b9334935",
   "metadata": {},
   "outputs": [],
   "source": [
    "a=np. array([[5,6], [7,8]])\n",
    "print(a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "626b721c",
   "metadata": {},
   "outputs": [],
   "source": [
    "print(a[0,0])\n",
    "print(a[0,1])\n",
    "print(a[1,0])\n",
    "print(a[1,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "fa67b9a0",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-30-5ad0d02e97da>:1: DeprecationWarning: `np.int` is a deprecated alias for the builtin `int`. To silence this warning, use `int` by itself. Doing this will not modify any behavior and is safe. When replacing `np.int`, you may wish to use e.g. `np.int64` or `np.int32` to specify the precision. If you wish to review your current use, check the release note link for additional information.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  d= np.int(42.0+ i.j)\n"
     ]
    },
    {
     "ename": "NameError",
     "evalue": "name 'i' is not defined",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mNameError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-30-5ad0d02e97da>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0md\u001b[0m\u001b[1;33m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;36m42.0\u001b[0m\u001b[1;33m+\u001b[0m \u001b[0mi\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mj\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m      2\u001b[0m \u001b[0mprint\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0md\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mNameError\u001b[0m: name 'i' is not defined"
     ]
    }
   ],
   "source": [
    "d= np.int(42.0+ i.j)\n",
    "print(d)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "ca19b899",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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