AI_Lab1_S_M_ASIFUL_ISLAM_SAKY.ipynb

{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "                                                              p       Y       T       H       O       N\n",
    "                                                                         AI LAB 1-SAKY, AIU, MY"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello world!\n"
     ]
    }
   ],
   "source": [
    "print(\"Hello world!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello AI Class\n"
     ]
    }
   ],
   "source": [
    "print('Hello AI Class')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello, World!\n"
     ]
    }
   ],
   "source": [
    "#This is a comment\n",
    "print(\"Hello, World!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello, World!\n"
     ]
    }
   ],
   "source": [
    "print(\"Hello, World!\") #This is a comment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Welcome, AI Class!\n"
     ]
    }
   ],
   "source": [
    "#print(\"Hello, World!\")\n",
    "print(\"Welcome, AI Class!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello, World!\n"
     ]
    }
   ],
   "source": [
    "#This is a comment\n",
    "#written in\n",
    "#more than just one line\n",
    "print(\"Hello, World!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Hello, World!\n"
     ]
    }
   ],
   "source": [
    "\"\"\"\n",
    "This is a comment\n",
    "written in\n",
    "more than just one line\n",
    "\"\"\"\n",
    "print(\"Hello, World!\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AI\n"
     ]
    }
   ],
   "source": [
    "x = 'AI'\n",
    "print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "AI\n"
     ]
    }
   ],
   "source": [
    "x = 5 # x is of type int\n",
    "x = \"AI\" # x is now of type str\n",
    "print(x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = str(\"4\") # x will be '4'\n",
    "y = int(4) # y will be 4\n",
    "z = float(4) # z will be 4.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'int'>\n",
      "<class 'str'>\n"
     ]
    }
   ],
   "source": [
    "x = 5\n",
    "y = \"AI\"\n",
    "print(type(x))\n",
    "print(type(y))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = \"AI\"\n",
    "# is the same as\n",
    "x = 'AI'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = 4\n",
    "A = \"AI\"\n",
    "#A will not overwrite a\n",
    "#Case sensitive"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Legal variable names\n",
    "myvar = \"AI\"\n",
    "my_var = \"AI\"\n",
    "_my_var = \"AI\"\n",
    "myVar = \"AI\"\n",
    "MYVAR = \"AI\"\n",
    "myvar2 = \"AI\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Orange\n",
      "Banana\n",
      "Cherry\n"
     ]
    }
   ],
   "source": [
    "x, y, z = \"Orange\", \"Banana\", \"Cherry\"\n",
    "print(x)\n",
    "print(y)\n",
    "print(z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Orange\n",
      "Orange\n",
      "Orange\n"
     ]
    }
   ],
   "source": [
    "x = y = z = \"Orange\"\n",
    "print(x)\n",
    "print(y)\n",
    "print(z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python is awesome\n"
     ]
    }
   ],
   "source": [
    "x = \"awesome\"\n",
    "print(\"Python is \" + x)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Python is awesome\n"
     ]
    }
   ],
   "source": [
    "x = \"Python is \"\n",
    "y = \"awesome\"\n",
    "z = x + y\n",
    "print(z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "15\n"
     ]
    }
   ],
   "source": [
    "x = 5\n",
    "y = 10\n",
    "print(x + y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'int'>\n",
      "<class 'float'>\n",
      "<class 'complex'>\n"
     ]
    }
   ],
   "source": [
    "x = 1 # int\n",
    "y = 2.8 # float\n",
    "z = 1j # complex\n",
    "print(type(x))\n",
    "print(type(y))\n",
    "print(type(z))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'int'>\n",
      "<class 'int'>\n",
      "<class 'int'>\n"
     ]
    }
   ],
   "source": [
    "x = 1\n",
    "y = 35656222554887711\n",
    "z = -3255522\n",
    "print(type(x))\n",
    "print(type(y))\n",
    "print(type(z))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'float'>\n",
      "<class 'float'>\n",
      "<class 'float'>\n"
     ]
    }
   ],
   "source": [
    "x = 1.10\n",
    "y = 1.0\n",
    "z = -35.59\n",
    "print(type(x))\n",
    "print(type(y))\n",
    "print(type(z))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'float'>\n",
      "<class 'float'>\n",
      "<class 'float'>\n"
     ]
    }
   ],
   "source": [
    "x = 35e3\n",
    "y = 12E4\n",
    "z = -87.7e100\n",
    "print(type(x))\n",
    "print(type(y))\n",
    "print(type(z))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'complex'>\n",
      "<class 'complex'>\n",
      "<class 'complex'>\n"
     ]
    }
   ],
   "source": [
    "x = 3+5j\n",
    "y = 5j\n",
    "z = -5j\n",
    "print(type(x))\n",
    "print(type(y))\n",
    "print(type(z))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0\n",
      "2\n",
      "(1+0j)\n",
      "<class 'float'>\n",
      "<class 'int'>\n",
      "<class 'complex'>\n"
     ]
    }
   ],
   "source": [
    "x = 1 # int\n",
    "y = 2.8 # float\n",
    "z = 1j # complex\n",
    "#convert from int to float:\n",
    "a = float(x)\n",
    "#convert from float to int:\n",
    "b = int(y)\n",
    "#convert from int to complex:\n",
    "c = complex(x)\n",
    "print(a)\n",
    "print(b)\n",
    "print(c)\n",
    "print(type(a))\n",
    "print(type(b))\n",
    "print(type(c))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1 2 3\n"
     ]
    }
   ],
   "source": [
    "x = int(1) # x will be 1\n",
    "y = int(2.8) # y will be 2\n",
    "z = int(\"3\") # z will be 3\n",
    "print(x, y, z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.0\n",
      "2.8\n",
      "3.0\n",
      "4.2\n"
     ]
    }
   ],
   "source": [
    "x = float(1) # x will be 1.0\n",
    "y = float(2.8) # y will be 2.8\n",
    "z = float(\"3\") # z will be 3.0\n",
    "w = float(\"4.2\") # w will be 4.2\n",
    "print(x)\n",
    "print(y)\n",
    "print(z)\n",
    "print(w)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "s1 2 3.0\n"
     ]
    }
   ],
   "source": [
    "x = str(\"s1\") # x will be 's1'\n",
    "y = str(2) # y will be '2'\n",
    "z = str(3.0) # z will be '3.0'\n",
    "\n",
    "print(x, y, z)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "        To run Jupyter in VS Code:\n",
      "        1. Install Python.\n",
      "        2. Install the Jupyter extensions.\n",
      "        3. Save file with the extension-(.ipynb)\n",
      "        4. If you do so for the first time then it will show some recommentions. Do as the suggestoins.\n",
      "\n",
      "        Keyboard Shortcut:\n",
      "        1. Ctrl + Alt + Enter/ Ctrl + Enter = To run the code.\n",
      "        2. Alt + Enter = To make a new Code Box.\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(\"\"\"\n",
    "        To run Jupyter in VS Code:\n",
    "        1. Install Python.\n",
    "        2. Install the Jupyter extensions.\n",
    "        3. Save file with the extension-(.ipynb)\n",
    "        4. If you do so for the first time then it will show some recommentions. Do as the suggestoins.\n",
    "\n",
    "        Keyboard Shortcut:\n",
    "        1. Ctrl + Alt + Enter/ Ctrl + Enter = To run the code.\n",
    "        2. Alt + Enter = To make a new Code Box.\n",
    "\"\"\")"
   ]
  }
 ],
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