

{"id":144231,"date":"2025-02-24T14:21:47","date_gmt":"2025-02-24T08:51:47","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=144231"},"modified":"2025-02-24T14:21:47","modified_gmt":"2025-02-24T08:51:47","slug":"python-race-condition","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/python-race-condition\/","title":{"rendered":"Python Race Condition"},"content":{"rendered":"<h3>Program 1<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\"># Race Condition \r\nimport time\r\nfrom threading import *\r\n\r\nl=Lock()\r\ndef printTable(n):\r\n    l.acquire()\r\n    for i in range(1,11):\r\n        print(n*i)\r\n        time.sleep(1)\r\n    l.release()\r\n    \r\n#Main Thread\r\nstart=time.time()\r\nT1=Thread(target=printTable,args=(5,),name=\"One\")\r\nT2=Thread(target=printTable,args=(8,),name=\"Two\")\r\nT3=Thread(target=printTable,args=(10,),name=\"Two\")\r\nT1.start()\r\nT2.start()\r\nT3.start()\r\n\r\nT1.join()\r\nT2.join()\r\nT3.join()\r\nend=time.time()\r\nprint(end-start)\r\n\r\nprint(\"-----------Main End Here--------\")<\/pre>\n<h3>Program 2<\/h3>\n<pre class=\"EnlighterJSRAW\" data-enlighter-language=\"generic\"># Lock using OOPs\r\nimport time\r\nfrom threading import *\r\n\r\n# Outer resource \r\nl=Lock()\r\nclass Table:\r\n    def printTable(self,n):\r\n        l.acquire()\r\n        for i in range(1,11):\r\n            print(n*i)\r\n            time.sleep(1)\r\n        l.release()\r\n\r\nclass MyThread1(Thread):\r\n    def run(self):\r\n        T1=Table()\r\n        T1.printTable(5)\r\n\r\nclass MyThread2(Thread):\r\n    def run(self):\r\n        T1=Table()\r\n        T1.printTable(8)\r\n\r\n#Main Thread\r\nstart=time.time()\r\nM1=MyThread1()\r\nM2=MyThread2()\r\nM1.start()\r\nM2.start()\r\nM1.join()\r\nM2.join()\r\nprint(\"------Main Thread Ends-------\")\r\nend=time.time()\r\nprint(end-start)\r\n<\/pre>\n","protected":false},"excerpt":{"rendered":"<p>Program 1 # Race Condition import time from threading import * l=Lock() def printTable(n): l.acquire() for i in range(1,11): print(n*i) time.sleep(1) l.release() #Main Thread start=time.time() T1=Thread(target=printTable,args=(5,),name=&#8221;One&#8221;) T2=Thread(target=printTable,args=(8,),name=&#8221;Two&#8221;) T3=Thread(target=printTable,args=(10,),name=&#8221;Two&#8221;) T1.start() T2.start() T3.start() T1.join() T2.join() T3.join()&#46;&#46;&#46;<\/p>\n","protected":false},"author":581,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[33726,10333,28626,22366,32795,32793,32796,32794,33725],"class_list":["post-144231","post","type-post","status-publish","format-standard","hentry","category-python","tag-locks-in-python","tag-python","tag-python-practical","tag-python-program","tag-python-program-on-race-condition","tag-python-race-condition","tag-race-condition","tag-race-condition-in-python","tag-synchronization-using-lock-in-python"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.0 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Python Race Condition - DataFlair<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/data-flair.training\/blogs\/python-race-condition\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python Race Condition - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Program 1 # Race Condition import time from threading import * l=Lock() def printTable(n): l.acquire() for i in range(1,11): print(n*i) time.sleep(1) l.release() #Main Thread start=time.time() T1=Thread(target=printTable,args=(5,),name=&quot;One&quot;) T2=Thread(target=printTable,args=(8,),name=&quot;Two&quot;) T3=Thread(target=printTable,args=(10,),name=&quot;Two&quot;) T1.start() T2.start() T3.start() T1.join() T2.join() T3.join()&#046;&#046;&#046;\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/python-race-condition\/\" \/>\n<meta property=\"og:site_name\" content=\"DataFlair\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/DataFlairWS\/\" \/>\n<meta property=\"article:published_time\" content=\"2025-02-24T08:51:47+00:00\" \/>\n<meta name=\"author\" content=\"DataFlair Team\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DataFlairWS\" \/>\n<meta name=\"twitter:site\" content=\"@DataFlairWS\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"DataFlair Team\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Python Race Condition - DataFlair","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/data-flair.training\/blogs\/python-race-condition\/","og_locale":"en_US","og_type":"article","og_title":"Python Race Condition - DataFlair","og_description":"Program 1 # Race Condition import time from threading import * l=Lock() def printTable(n): l.acquire() for i in range(1,11): print(n*i) time.sleep(1) l.release() #Main Thread start=time.time() T1=Thread(target=printTable,args=(5,),name=\"One\") T2=Thread(target=printTable,args=(8,),name=\"Two\") T3=Thread(target=printTable,args=(10,),name=\"Two\") T1.start() T2.start() T3.start() T1.join() T2.join() T3.join()&#46;&#46;&#46;","og_url":"https:\/\/data-flair.training\/blogs\/python-race-condition\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2025-02-24T08:51:47+00:00","author":"DataFlair Team","twitter_card":"summary_large_image","twitter_creator":"@DataFlairWS","twitter_site":"@DataFlairWS","twitter_misc":{"Written by":"DataFlair Team","Est. reading time":"1 minute"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/data-flair.training\/blogs\/python-race-condition\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/python-race-condition\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/c187795dc82ab948373cca526df7c445"},"headline":"Python Race Condition","datePublished":"2025-02-24T08:51:47+00:00","mainEntityOfPage":{"@id":"https:\/\/data-flair.training\/blogs\/python-race-condition\/"},"wordCount":5,"commentCount":0,"publisher":{"@id":"https:\/\/data-flair.training\/blogs\/#organization"},"keywords":["locks in python","Python","python practical","python program","python program on race condition","python race condition","race condition","race condition in python","synchronization using lock in python"],"articleSection":["Python Tutorials"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/data-flair.training\/blogs\/python-race-condition\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/data-flair.training\/blogs\/python-race-condition\/","url":"https:\/\/data-flair.training\/blogs\/python-race-condition\/","name":"Python Race Condition - 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