{"id":183004,"date":"2024-03-13T10:24:00","date_gmt":"2024-03-13T09:24:00","guid":{"rendered":"https:\/\/datascientest.com\/en\/?p=183004"},"modified":"2024-03-12T22:54:14","modified_gmt":"2024-03-12T21:54:14","slug":"python-lambda-functions-principles-and-benefits","status":"publish","type":"post","link":"https:\/\/datascientest.com\/en\/python-lambda-functions-principles-and-benefits","title":{"rendered":"Python Lambda functions: principles and benefits"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"183004\" class=\"elementor elementor-183004\" data-elementor-post-type=\"post\">\n\t\t\t\t\t\t\t<div class=\"elementor-element elementor-element-facbdd6 e-flex e-con-boxed e-con\" data-id=\"facbdd6\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-11d3c66 elementor-widget elementor-widget-heading\" data-id=\"11d3c66\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-heading-title{padding:0;margin:0;line-height:1}.elementor-widget-heading .elementor-heading-title[class*=elementor-size-]>a{color:inherit;font-size:inherit;line-height:inherit}.elementor-widget-heading .elementor-heading-title.elementor-size-small{font-size:15px}.elementor-widget-heading .elementor-heading-title.elementor-size-medium{font-size:19px}.elementor-widget-heading .elementor-heading-title.elementor-size-large{font-size:29px}.elementor-widget-heading .elementor-heading-title.elementor-size-xl{font-size:39px}.elementor-widget-heading .elementor-heading-title.elementor-size-xxl{font-size:59px}<\/style><h2 class=\"elementor-heading-title elementor-size-default\">For small operations, regular functions in Python can take up a lot of space, making syntax difficult to read. This is why Lambda functions are so useful in Python. <\/h2>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5d24e28 elementor-widget elementor-widget-text-editor\" data-id=\"5d24e28\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style>\/*! elementor - v3.15.0 - 02-08-2023 *\/\n.elementor-widget-text-editor.elementor-drop-cap-view-stacked .elementor-drop-cap{background-color:#69727d;color:#fff}.elementor-widget-text-editor.elementor-drop-cap-view-framed .elementor-drop-cap{color:#69727d;border:3px solid;background-color:transparent}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap{margin-top:8px}.elementor-widget-text-editor:not(.elementor-drop-cap-view-default) .elementor-drop-cap-letter{width:1em;height:1em}.elementor-widget-text-editor .elementor-drop-cap{float:left;text-align:center;line-height:1;font-size:50px}.elementor-widget-text-editor .elementor-drop-cap-letter{display:inline-block}<\/style>\t\t\t\t<p>How do you use them and why? Find out in this article.<\/p><p>\u00a0<\/p><p>\ud83d\udca1Related articles:<\/p><table dir=\"ltr\" border=\"1\" cellspacing=\"0\" cellpadding=\"0\" data-sheets-root=\"1\"><colgroup><col width=\"656\" \/><\/colgroup><tbody><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Matplotlib: Master Data Visualization in Python &quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/matplotlib-master-data-visualization-in-python\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/matplotlib-master-data-visualization-in-python\" target=\"_blank\" rel=\"noopener\">Matplotlib: Master Data Visualization in Python <\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Python Crash Course: Get started &quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/python-all-you-need-to-know\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/python-all-you-need-to-know\" target=\"_blank\" rel=\"noopener\">Python Crash Course: Get started <\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Mastering Machine Learning in Python: Data-Driven Success &quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/machine-learning-python-where-to-start\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/machine-learning-python-where-to-start\" target=\"_blank\" rel=\"noopener\">Mastering Machine Learning in Python: Data-Driven Success <\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Python Programming for Beginners - Episode 3&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/python-programming-for-beginners-episode-3\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/python-programming-for-beginners-episode-3\" target=\"_blank\" rel=\"noopener\">Python Programming for Beginners &#8211; Episode 3<\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;Django: All about the Python web development framework&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/django-all-about-the-python-web-development-framework\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/django-all-about-the-python-web-development-framework\" target=\"_blank\" rel=\"noopener\">Django: All about the Python web development framework<\/a><\/td><\/tr><tr><td data-sheets-value=\"{&quot;1&quot;:2,&quot;2&quot;:&quot;NumPy : the most used Python library in Data Science&quot;}\" data-sheets-hyperlink=\"https:\/\/datascientest.com\/en\/numpy-the-python-library-in-data-science\"><a class=\"in-cell-link\" href=\"https:\/\/datascientest.com\/en\/numpy-the-python-library-in-data-science\" target=\"_blank\" rel=\"noopener\">NumPy : the most used Python library in Data Science<\/a><\/td><\/tr><\/tbody><\/table>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9b99ca2 e-flex e-con-boxed e-con\" data-id=\"9b99ca2\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-1139d89 elementor-widget elementor-widget-heading\" data-id=\"1139d89\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Lambda functions in Python, anonymous functions<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-551f900 elementor-widget elementor-widget-text-editor\" data-id=\"551f900\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In Python, a Lambda function is an anonymous function. In other words, a function declared without a name. Its syntax is as follows:<\/p><pre style=\"padding-left: 40px;\"><span style=\"font-weight: 400;\"><span style=\"background: #e2e2e2;\">Lambda arguments: expression<\/span><\/span><\/pre>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-dc494b3 elementor-widget elementor-widget-text-editor\" data-id=\"dc494b3\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p><span style=\"font-weight: 400;\">As this is a<\/span><b> single-line syntax<\/b><span style=\"font-weight: 400;\">, the function is much more readable. There&#8217;s no need to search for the argument on another line. Although the syntax is different from regular functions declared with the def keyword, they behave in the same way. It&#8217;s just <\/span><b>more concise. <\/b><\/p><p><span style=\"font-weight: 400;\">Aside from its lack of a name and its conciseness, the <\/span><span style=\"font-weight: 400;\">Lambda functions in python are characterized by the fact that they contain <\/span><b>only one expression<\/b><span style=\"font-weight: 400;\">. On the other hand, they can have several arguments. <\/span><\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-9acb0c7 e-flex e-con-boxed e-con\" data-id=\"9acb0c7\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-a493a85 elementor-widget elementor-widget-heading\" data-id=\"a493a85\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">4 exemples de fonctions Lambda<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0482716 elementor-widget elementor-widget-text-editor\" data-id=\"0482716\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>To help you better understand the difference between Python&#8217;s Lambda functions and regular functions, here are a few examples:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8a1b405 elementor-widget elementor-widget-heading\" data-id=\"8a1b405\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Lambda and sum functions<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9e75062 elementor-widget elementor-widget-text-editor\" data-id=\"9e75062\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>If you want to calculate the sum of two values, your code can be one of these two formulas.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-62c74ce elementor-widget elementor-widget-html\" data-id=\"62c74ce\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style type=\"text\/css\">\r\n.tg  {border-collapse:collapse;border-spacing:0;}\r\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\r\n  overflow:hidden;padding:10px 5px;word-break:normal;}\r\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\r\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}\r\n.tg .tg-7vx0{font-family:Tahoma, Geneva, sans-serif !important;font-size:16px;font-weight:bold;text-align:center;vertical-align:top}\r\n.tg .tg-9kad{font-family:Tahoma, Geneva, sans-serif !important;font-size:16px;text-align:left;vertical-align:top}\r\n<\/style>\r\n<table class=\"tg\" style=\"undefined;table-layout: fixed; width: 510px\">\r\n<colgroup>\r\n<col style=\"width: 255px\">\r\n<col style=\"width: 255px\">\r\n<\/colgroup>\r\n<thead>\r\n  <tr>\r\n    <th class=\"tg-7vx0\"><span style=\"font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Regular Function in Python<\/span><\/th>\r\n    <th class=\"tg-7vx0\"><span style=\"font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Lambda Function in Python<\/span><\/th>\r\n  <\/tr>\r\n<\/thead>\r\n<tbody>\r\n  <tr>\r\n    <td class=\"tg-9kad\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">1 def sum_classic( a , b ):<\/span><br><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">2   return a + b<\/span><\/td>\r\n    <td class=\"tg-9kad\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000;background-color:transparent\">sum_Lambda = Lambda a,b : a+b<\/span><\/td>\r\n  <\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-acf34ea elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"acf34ea\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-courses\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Learn to use lambda functions<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5343e93 elementor-widget elementor-widget-heading\" data-id=\"5343e93\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Lambda function and map  <\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-a89806a elementor-widget elementor-widget-text-editor\" data-id=\"a89806a\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>With the map function, you can double each element of a list.<\/p><p>Here are the differences between the Lambda function and the regular function.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8dff54e elementor-widget elementor-widget-html\" data-id=\"8dff54e\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style type=\"text\/css\">\r\n.tg  {border-collapse:collapse;border-spacing:0;}\r\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\r\n  overflow:hidden;padding:10px 5px;word-break:normal;}\r\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\r\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}\r\n.tg .tg-7vx0{font-family:Tahoma, Geneva, sans-serif !important;font-size:16px;font-weight:bold;text-align:center;vertical-align:top}\r\n.tg .tg-n3o3{background-color:#efefef;font-family:Tahoma, Geneva, sans-serif !important;font-size:16px;text-align:left;\r\n  vertical-align:top}\r\n<\/style>\r\n<table class=\"tg\" style=\"undefined;table-layout: fixed; width: 510px\">\r\n<colgroup>\r\n<col style=\"width: 255px\">\r\n<col style=\"width: 255px\">\r\n<\/colgroup>\r\n<thead>\r\n  <tr>\r\n    <th class=\"tg-7vx0\"><span style=\"font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Regular Function in Python<\/span><\/th>\r\n    <th class=\"tg-7vx0\"><span style=\"font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Lambda Function in Python<\/span><\/th>\r\n  <\/tr>\r\n<\/thead>\r\n<tbody>\r\n  <tr>\r\n    <td class=\"tg-n3o3\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">1 def doubler(x):<\/span><br><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">2   return x * 2<\/span><br><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">3 list = [1, 2, 3, 4, 5]<\/span><br><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">4 result_def = list(map(doubler, list))<\/span><br><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">5 print(result_def)  <\/span><\/td>\r\n    <td class=\"tg-n3o3\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">1 list = [1, 2, 3, 4, 5]<\/span><br><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">2 result_lambda = list(map(lambda x: x * 2, list))<\/span><br><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">3 print(result_lambda)  <\/span><\/td>\r\n  <\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-79fdc6b elementor-widget elementor-widget-text-editor\" data-id=\"79fdc6b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>This will display [2, 4, 6, 8, 10].<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9e2582d elementor-widget elementor-widget-heading\" data-id=\"9e2582d\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Lambda and filter functions<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-be20c2b elementor-widget elementor-widget-text-editor\" data-id=\"be20c2b\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>With the map function, you can filter certain elements. In this example, the aim is to filter out even numbers from a list.<\/p><p>Here are the differences between the Lambda function and the regular function.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-b800453 elementor-widget elementor-widget-html\" data-id=\"b800453\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style type=\"text\/css\">\r\n.tg  {border-collapse:collapse;border-spacing:0;}\r\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\r\n  overflow:hidden;padding:10px 5px;word-break:normal;}\r\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\r\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}\r\n.tg .tg-7vx0{font-family:Tahoma, Geneva, sans-serif !important;font-size:16px;font-weight:bold;text-align:center;vertical-align:top}\r\n.tg .tg-n3o3{background-color:#efefef;font-family:Tahoma, Geneva, sans-serif !important;font-size:16px;text-align:left;\r\n  vertical-align:top}\r\n<\/style>\r\n<table class=\"tg\" style=\"undefined;table-layout: fixed; width: 510px\">\r\n<colgroup>\r\n<col style=\"width: 255px\">\r\n<col style=\"width: 255px\">\r\n<\/colgroup>\r\n<thead>\r\n  <tr>\r\n    <th class=\"tg-7vx0\"><span style=\"font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Regular Function in Python<\/span><\/th>\r\n    <th class=\"tg-7vx0\"><span style=\"font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Lambda Function in Python<\/span><\/th>\r\n  <\/tr>\r\n<\/thead>\r\n<tbody>\r\n  <tr>\r\n    <td class=\"tg-n3o3\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">1 def is_even(x):<\/span><br><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">2 return x % 2 == 0<\/span><br><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">3 list = [1, 2, 3, 4, 5, 6, 7, 8, 9]<\/span><br><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">4 result_def = list(filter(is_even, list))<\/span><br><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">5 print(result_def)<\/span><\/td>\r\n    <td class=\"tg-n3o3\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">1 list = [1, 2, 3, 4, 5, 6, 7, 8, 9]<\/span><br><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">2 result_lambda = list(filter(lambda x: x % 2 == 0, list))<\/span><br><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">3 print(result_lambda)  <\/span><\/td>\r\n  <\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8b0bc31 elementor-widget elementor-widget-text-editor\" data-id=\"8b0bc31\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In both cases, it will display [2, 4, 6, 8].<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-59c3946 elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"59c3946\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-scientist-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Mastering lambda functions<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-60fea54 elementor-widget elementor-widget-heading\" data-id=\"60fea54\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h4 class=\"elementor-heading-title elementor-size-medium\">Lambda and sorted functions<\/h4>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-c3b567f elementor-widget elementor-widget-text-editor\" data-id=\"c3b567f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>With the map function, you can sort a list. In this example, a list of tuples will be sorted according to the second element.<\/p><p>Here&#8217;s the code to type for both types of function:<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-222cf30 elementor-widget elementor-widget-html\" data-id=\"222cf30\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<style type=\"text\/css\">\r\n.tg  {border-collapse:collapse;border-spacing:0;}\r\n.tg td{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\r\n  overflow:hidden;padding:10px 5px;word-break:normal;}\r\n.tg th{border-color:black;border-style:solid;border-width:1px;font-family:Arial, sans-serif;font-size:14px;\r\n  font-weight:normal;overflow:hidden;padding:10px 5px;word-break:normal;}\r\n.tg .tg-7vx0{font-family:Tahoma, Geneva, sans-serif !important;font-size:16px;font-weight:bold;text-align:center;vertical-align:top}\r\n.tg .tg-n3o3{background-color:#efefef;font-family:Tahoma, Geneva, sans-serif !important;font-size:16px;text-align:left;\r\n  vertical-align:top}\r\n<\/style>\r\n<table class=\"tg\" style=\"undefined;table-layout: fixed; width: 510px\">\r\n<colgroup>\r\n<col style=\"width: 255px\">\r\n<col style=\"width: 255px\">\r\n<\/colgroup>\r\n<thead>\r\n  <tr>\r\n    <th class=\"tg-7vx0\"><span style=\"font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Regular Function in Python<\/span><\/th>\r\n    <th class=\"tg-7vx0\"><span style=\"font-style:normal;text-decoration:none;color:#000;background-color:transparent\">Lambda Function in Python<\/span><\/th>\r\n  <\/tr>\r\n<\/thead>\r\n<tbody>\r\n  <tr>\r\n    <td class=\"tg-n3o3\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">1 def key_sort(tuple):<\/span><br><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">2   return tuple[1]<\/span><br><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">3 tuples = [(1, 5), (3, 2), (8, 10), (4, 7)]<\/span><br><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">4 result_def = sorted(tuples, key=key_sort)<\/span><br><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">5 print(result_def) <\/span><\/td>\r\n    <td class=\"tg-n3o3\"><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">1 tuples = [(1, 5), (3, 2), (8, 10), (4, 7)] <\/span><br><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">2 result_lambda = sorted(tuples, key=lambda x: x[1])<\/span><br><span style=\"font-weight:400;font-style:normal;text-decoration:none;color:#000\">3 print(result_lambda) <\/span><\/td>\r\n  <\/tr>\r\n<\/tbody>\r\n<\/table>\r\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-86e25cc elementor-widget elementor-widget-text-editor\" data-id=\"86e25cc\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>This will display [(3, 2), (1, 5), (4, 7), (8, 10)].<\/p><p>Apart from these examples, Lambda functions on Python are best used with simple functions for a one-off operation, such as apply(), sorted(), applymap() or reduce().<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-e4070e7 e-flex e-con-boxed e-con\" data-id=\"e4070e7\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-d287398 elementor-widget elementor-widget-heading\" data-id=\"d287398\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Lambda function use cases in Python<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-838b11f elementor-widget elementor-widget-text-editor\" data-id=\"838b11f\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>The Lambda function in Python can be used in the following situations:<\/p><ul><li><strong>Small operations:<\/strong> the return value is calculated by evaluating an expression on a single line of code. In this case, defining a complete function with def may seem too cumbersome.<\/li><li><strong>One-off operations:<\/strong> this means you don&#8217;t need to name the function, since it&#8217;s only used once. If you need to repeat it or refer to it elsewhere in the same module, it&#8217;s best to use normal functions.<\/li><li><strong>Built-in functions:<\/strong> such as the map(), filter(), apply(), sorted(), sum() and reduce() functions mentioned above.<\/li><\/ul>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-5948101 elementor-widget elementor-widget-text-editor\" data-id=\"5948101\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>In practical terms,<strong> Lambda functions<\/strong> are useful for sorting Python data structures, such as lists and dictionaries. That said, the choice between Lambda and regular functions is mainly a question of style and readability, because in the end, the result is the same.<\/p><p><strong>Good to know:<\/strong> Lambda functions exist in many programming languages (Java, C#, C++). But with Python, they don&#8217;t add any extra functionality. This is not necessarily the case with other computer languages.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t<div class=\"elementor-element elementor-element-3e571b2 e-flex e-con-boxed e-con\" data-id=\"3e571b2\" data-element_type=\"container\" data-settings=\"{&quot;content_width&quot;:&quot;boxed&quot;}\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-c8e346f elementor-widget elementor-widget-heading\" data-id=\"c8e346f\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<h3 class=\"elementor-heading-title elementor-size-default\">Use Lambda functions with DataScientest<\/h3>\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-275a807 elementor-widget elementor-widget-text-editor\" data-id=\"275a807\" data-element_type=\"widget\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<p>Whether you&#8217;re using normal or Lambda functions with Python, you need to be well trained to master this programming language. With DataScientest, you can do just that. In our program, you&#8217;ll learn how to code all kinds of operations, from the simplest to the most complex.<\/p>\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-8e8482c elementor-align-center button-principale elementor-widget elementor-widget-button\" data-id=\"8e8482c\" data-element_type=\"widget\" data-widget_type=\"button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"elementor-button-wrapper\">\n\t\t\t<a class=\"elementor-button elementor-button-link elementor-size-sm elementor-animation-grow\" href=\"https:\/\/datascientest.com\/en\/data-scientist-course\">\n\t\t\t\t\t\t<span class=\"elementor-button-content-wrapper\">\n\t\t\t\t\t\t<span class=\"elementor-button-text\">Register for our Data training course<\/span>\n\t\t<\/span>\n\t\t\t\t\t<\/a>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-2054391 elementor-widget elementor-widget-html\" data-id=\"2054391\" data-element_type=\"widget\" data-widget_type=\"html.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t<script type=\"application\/ld+json\">\n{\n  \"@context\": \"https:\/\/schema.org\",\n  \"@type\": \"FAQPage\",\n  \"mainEntity\": [{\n    \"@type\": \"Question\",\n    \"name\": \"What are Lambda functions in Python?\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"On Python, a Lambda function is an anonymous function. In other words, a function declared without a name. Its syntax is as follows: Lambda arguments: expression. Since this is a single-line syntax, the function is much easier to read. There's no need to search for the argument on another line. Although the syntax is different from regular functions declared with the def keyword, they behave in the same way. It's just more concise. In addition to being nameless and concise, Lambda functions in Python are characterized by the fact that they contain a single expression. On the other hand, they can have several arguments.\"\n    }\n  },{\n    \"@type\": \"Question\",\n    \"name\": \"How to use Lambda functions in Python\",\n    \"acceptedAnswer\": {\n      \"@type\": \"Answer\",\n      \"text\": \"The Lambda function in Python can be used in the following situations: small operations, one-off operations, built-in functions\"\n    }\n  }]\n}\n<\/script>\n\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>For small operations, regular functions in Python can take up a lot of space, making syntax difficult to read. This is why Lambda functions are so useful in Python. How do you use them and why? Find out in this article. \u00a0 \ud83d\udca1Related articles: Matplotlib: Master Data Visualization in Python Python Crash Course: Get started [&hellip;]<\/p>\n","protected":false},"author":67,"featured_media":183005,"comment_status":"open","ping_status":"open","sticky":false,"template":"elementor_theme","format":"standard","meta":{"content-type":"","inline_featured_image":false},"categories":[2425],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v21.7 (Yoast SEO v21.7) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Python Lambda functions: principles and benefits<\/title>\n<meta name=\"description\" content=\"Explore the Python Lambda synergy, uncovering the capabilities and advantages of using Python for serverless computing.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/datascientest.com\/en\/python-lambda-functions-principles-and-benefits\" \/>\n<meta property=\"og:locale\" content=\"en_GB\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python Lambda functions: principles and benefits\" \/>\n<meta property=\"og:description\" content=\"For small operations, regular functions in Python can take up a lot of space, making syntax difficult to read. 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