Introduction to Python.ipynb

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  {
   "cell_type": "markdown",
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   "source": [
    "## Find average Marks"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a=int(input())\n",
    "b=int(input())\n",
    "c=int(input())\n",
    "d=(a+b+c)/3\n",
    "print(d)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Find X raised to power N"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a=int(input())\n",
    "n=int(input())\n",
    "d=a**n\n",
    "print(d)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Arithmetic Progression"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a=int(input())\n",
    "b=int(input())\n",
    "c=int(input())\n",
    "d=b-a\n",
    "e=c-b\n",
    "if(d==e):\n",
    "    print(d)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Rectangular Area"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "a=int(input())\n",
    "b=int(input())\n",
    "c=int(input())\n",
    "d=int(input())\n",
    "e=c-a\n",
    "f=d-b\n",
    "print(e*f)"
   ]
  }
 ],
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