11 - Abstraction.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": false
   },
   "source": [
    "# ABSTRACTION"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-06-01T12:56:59.252148800Z",
     "start_time": "2023-06-01T12:56:59.131469800Z"
    },
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import abc\n",
    "\n",
    "class pwskills :\n",
    "\n",
    "    @abc.abstractmethod\n",
    "    def students_details(self):\n",
    "        pass\n",
    "\n",
    "    @abc.abstractmethod\n",
    "    def students_assignments(self):\n",
    "        pass\n",
    "\n",
    "    @abc.abstractmethod\n",
    "    def students_marks(self):\n",
    "        pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-06-01T12:56:59.279076300Z",
     "start_time": "2023-06-01T12:56:59.158396900Z"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# importing pre-defined abstract method from the class 'abc'\n",
    "\n",
    "import abc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-06-01T12:56:59.332945500Z",
     "start_time": "2023-06-01T12:56:59.265112700Z"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Creating class and it's functions :\n",
    "\n",
    "class pwskills :\n",
    "\n",
    "    def student_details(self):\n",
    "        pass\n",
    "\n",
    "    def student_assignments(self):\n",
    "        pass\n",
    "\n",
    "    def student_marks(self):\n",
    "        pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-06-01T12:56:59.341907800Z",
     "start_time": "2023-06-01T12:56:59.325950900Z"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-06-01T12:56:59.408729900Z",
     "start_time": "2023-06-01T12:56:59.342909600Z"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Applying abstract method by using @abc.abstractmethod\n",
    "# Skeleton class / Blueprint Class\n",
    "\n",
    "class pwskills :\n",
    "\n",
    "    @abc.abstractmethod\n",
    "    def student_details(self):\n",
    "        pass\n",
    "\n",
    "    @abc.abstractmethod\n",
    "    def student_assignments(self):\n",
    "        pass\n",
    "\n",
    "    @abc.abstractmethod\n",
    "    def student_marks(self):\n",
    "        pass"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-06-01T12:56:59.569308300Z",
     "start_time": "2023-06-01T12:56:59.380804Z"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Class 1\n",
    "\n",
    "class student_details(pwskills) :\n",
    "\n",
    "    def student_details(self):\n",
    "        return \"This is a method for taking student details\"\n",
    "\n",
    "    def student_assignments(self):\n",
    "        return \"This is a method for assignment details for a particular student\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-06-01T12:56:59.742836Z",
     "start_time": "2023-06-01T12:56:59.578275300Z"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# Class 2\n",
    "\n",
    "class data_science_masters(pwskills):\n",
    "\n",
    "    def student_details(self):\n",
    "        return \"This will return student details for Data Science Masters\"\n",
    "\n",
    "    def student_assignments(self):\n",
    "        return \"This will give you Student assignment details for Data Science Masters\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-06-01T12:56:59.755802300Z",
     "start_time": "2023-06-01T12:56:59.659058700Z"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dsm = data_science_masters()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-06-01T12:56:59.914376200Z",
     "start_time": "2023-06-01T12:56:59.700950300Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'This will return student details for Data Science Masters'"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dsm.student_details()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-06-01T12:57:00.387116800Z",
     "start_time": "2023-06-01T12:56:59.868501800Z"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "sd = student_details()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-06-01T12:57:00.410052Z",
     "start_time": "2023-06-01T12:57:00.389109200Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'This is a method for taking student details'"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sd.student_details()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-06-01T12:57:00.456927800Z",
     "start_time": "2023-06-01T12:57:00.418032100Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'This will give you Student assignment details for Data Science Masters'"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dsm.student_assignments()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-06-01T12:57:00.511781100Z",
     "start_time": "2023-06-01T12:57:00.485850400Z"
    },
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'This is a method for assignment details for a particular student'"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sd.student_assignments()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "ExecuteTime": {
     "end_time": "2023-06-01T12:57:00.621487400Z",
     "start_time": "2023-06-01T12:57:00.591566600Z"
    },
    "collapsed": false
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}