From 8e5cdeed344d865fff3f15bf719b92b73664a607 Mon Sep 17 00:00:00 2001
From: Saketha Ramanjam <ramanujamsamavedam@hotmail.com>
Date: Tue, 1 Oct 2019 19:41:02 +0530
Subject: [PATCH] Revert "Added higher_order_functions.ipynb file"

---
 higher_order_functions.ipynb | 167 -----------------------------------
 1 file changed, 167 deletions(-)
 delete mode 100644 higher_order_functions.ipynb

diff --git a/higher_order_functions.ipynb b/higher_order_functions.ipynb
deleted file mode 100644
index 6bc53c7..0000000
--- a/higher_order_functions.ipynb
+++ /dev/null
@@ -1,167 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## map function\n",
-    "this is used to apply a function to all the items in an iterable and returns the mapped object<br/>\n",
-    "syntax: map_object map(function_name, iterable)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "list1: [1, 2, 3, 4, 5]\n",
-      "list2: [6, 7, 8, 9, 10]\n"
-     ]
-    }
-   ],
-   "source": [
-    "list1 = [1, 2, 3, 4, 5]\n",
-    "list2 = list(map(lambda x: x + 5, list1))\n",
-    "print(\"list1:\", list1)\n",
-    "print(\"list2:\", list2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## filter function\n",
-    "this is used to filter the values in an iterable according to a condition and returns an iterable with new set of items which satisfied the condition<br/>\n",
-    "syntax: filter_object filter(function_name, iterable)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "list1: [1, 2, 3, 4, 5]\n",
-      "list2: [3, 4, 5]\n"
-     ]
-    }
-   ],
-   "source": [
-    "list1 = [1, 2, 3, 4, 5]\n",
-    "list2 = list(filter(lambda x: x>=3, list1))\n",
-    "print(\"list1:\", list1)\n",
-    "print(\"list2:\", list2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## reduce function\n",
-    "this is used to reduce an iterable to a single value based of all the values<br/>\n",
-    "syntax: reduced_value reduce(function_name, iterable)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "list1: [1, 2, 3, 4, 5]\n",
-      "reduced_value: 15\n"
-     ]
-    }
-   ],
-   "source": [
-    "from functools import reduce\n",
-    "list1 = [1, 2, 3, 4, 5]\n",
-    "reduced_value = reduce(lambda x,y: x+y, list1)\n",
-    "print(\"list1:\", list1)\n",
-    "print(\"reduced_value:\", reduced_value)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## examples"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "list1: [1, 2, 3, 4, 5]\n",
-      "list2: [2, 4]\n"
-     ]
-    }
-   ],
-   "source": [
-    "# find even numbers\n",
-    "list1 = [1, 2, 3, 4, 5]\n",
-    "list2 = list(filter(lambda x: x%2==0, list1))\n",
-    "print(\"list1:\", list1)\n",
-    "print(\"list2:\", list2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 6,
-   "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "list1: [1, 2, 3, 4, 5]\n",
-      "reduced_value: 1\n"
-     ]
-    }
-   ],
-   "source": [
-    "# find min of elements\n",
-    "list1 = [1, 2, 3, 4, 5]\n",
-    "min_val = reduce(lambda x,y: x if x < y else y, list1)\n",
-    "print(\"list1:\", list1)\n",
-    "print(\"reduced_value:\", min_val)"
-   ]
-  }
- ],
- "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": "3.6.8"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 2
-}