{"id":17047,"date":"2018-06-01T04:00:56","date_gmt":"2018-06-01T04:00:56","guid":{"rendered":"https:\/\/data-flair.training\/blogs\/?p=17047"},"modified":"2026-04-25T15:23:03","modified_gmt":"2026-04-25T09:53:03","slug":"python-tools","status":"publish","type":"post","link":"https:\/\/data-flair.training\/blogs\/python-tools\/","title":{"rendered":"Python Tools &#8211; 4 Major Utilities of Python"},"content":{"rendered":"<div class='__iawmlf-post-loop-links' style='display:none;' data-iawmlf-post-links='[{&quot;id&quot;:1931,&quot;href&quot;:&quot;https:\\\/\\\/docs.python.org\\\/2\\\/library\\\/dis.html&quot;,&quot;archived_href&quot;:&quot;http:\\\/\\\/web-wp.archive.org\\\/web\\\/20250816044439\\\/https:\\\/\\\/docs.python.org\\\/2\\\/library\\\/dis.html&quot;,&quot;redirect_href&quot;:&quot;&quot;,&quot;checks&quot;:[{&quot;date&quot;:&quot;2025-12-10 11:26:00&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2025-12-23 13:47:12&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2025-12-27 10:09:28&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2025-12-31 11:19:20&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-01-04 07:40:31&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-01-07 16:11:37&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-01-11 13:24:33&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-01-20 13:21:27&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-01-24 13:08:37&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-01-28 02:12:22&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-02-01 09:08:53&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-02-04 14:57:38&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-02-09 06:24:08&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-02-12 08:56:32&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-02-18 09:11:37&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-02-23 02:32:57&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-02-28 08:37:54&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-03-03 20:42:37&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-03-08 12:02:06&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-03-14 22:42:27&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-03-18 22:55:04&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-03-24 10:43:24&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-03-29 09:32:58&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-04 19:07:18&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-09 11:15:56&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-17 06:34:28&quot;,&quot;http_code&quot;:503},{&quot;date&quot;:&quot;2026-04-21 05:17:11&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-25 08:30:21&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-04-28 08:47:09&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-02 22:11:50&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-06 04:42:24&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-09 09:20:32&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-13 08:59:01&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-23 10:10:45&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-05-28 19:11:17&quot;,&quot;http_code&quot;:206},{&quot;date&quot;:&quot;2026-06-09 12:09:25&quot;,&quot;http_code&quot;:206}],&quot;broken&quot;:false,&quot;last_checked&quot;:{&quot;date&quot;:&quot;2026-06-09 12:09:25&quot;,&quot;http_code&quot;:206},&quot;process&quot;:&quot;done&quot;}]'><\/div>\n<p>In this Python Tools tutorial, we will focus on Python Dis modules, Python PDB module, Python Profile module, and Python Tabnanny module with examples.<\/p>\n<p>So, let&#8217;s start with Python Tools.<\/p>\n<h3>Which Python Tools are Commonly Used?<\/h3>\n<p>Here, we will discuss 4 types of Python Utilities.<\/p>\n<h4 class=\"western\">1. Python Dis Module<\/h4>\n<p>To convert bytecode into a more human-readable format, Python has the <a href=\"https:\/\/docs.python.org\/2\/library\/dis.html\">\u2018dis\u2019 module<\/a>. You can say that it compiles a script, disassembles the bytecode, and prints the output to STDOUT. Moreover, you can use it as a module or through the command line.<\/p>\n<p><strong>Use of Dis Module in Python:<\/strong><\/p>\n<ul>\n<li><strong>Performance optimization:<\/strong> Different code versions can be compared to see which one uses fewer or more steps.<\/li>\n<li><strong>Debugging:<\/strong> By seeing the exact order of the operation, you can find out the hidden errors.<\/li>\n<li><strong>Understanding internals:<\/strong> It helps in understanding how features like loops and decorators are applied at lower levels.<\/li>\n<\/ul>\n<p>As an argument, we can pass a <strong>function<\/strong>, a <strong>method<\/strong>, a <strong>class<\/strong>, or a code object to the dis() function.<\/p>\n<p><strong>For Example<\/strong><\/p>\n<pre class=\"EnlighterJSRAW\">&gt;&gt;&gt; def add():\r\n     a=3\r\n     b=4\r\n     c=a+b\r\n     print(f\"{a}+{b}={c}\")\r\n&gt;&gt;&gt; add()\r\n3+4=7<\/pre>\n<p>Now, we import the Python dis module and call the dis() function on it.<\/p>\n<pre class=\"EnlighterJSRAW\">&gt;&gt;&gt; dis.dis(add)<\/pre>\n<p>2\u00a0 \u00a00 LOAD_CONST\u00a0 \u00a01 (3)<\/p>\n<p>2 STORE_FAST 0 (a)<\/p>\n<p>3\u00a0 \u00a0 4 LOAD_CONST\u00a0 \u00a02 (4)<\/p>\n<p>6 STORE_FAST\u00a0 1 (b)<\/p>\n<p>4\u00a0 \u00a0 8 LOAD_FAST\u00a0 \u00a0 0 (a)<\/p>\n<p>10 LOAD_FAST\u00a0 1 (b)<\/p>\n<p>12 BINARY_ADD<\/p>\n<p>14 STORE_FAST\u00a0 \u00a0 \u00a0 \u00a02 (c)<\/p>\n<p>5\u00a0 \u00a0 16 LOAD_GLOBAL 0 (print)<\/p>\n<p>18 LOAD_FAST 0 (a)<\/p>\n<p>20 FORMAT_VALUE 0<\/p>\n<p>22 LOAD_CONST 3 (&#8216;+&#8217;)<\/p>\n<p>24 LOAD_FAST 1 (b)<\/p>\n<p>26 FORMAT_VALUE 0<\/p>\n<p>28 LOAD_CONST 4 (&#8216;=&#8217;)<\/p>\n<p>30 LOAD_FAST 2 (c)<\/p>\n<p>32 FORMAT_VALUE 0<\/p>\n<p>34 BUILD_STRING 5<\/p>\n<p>36 CALL_FUNCTION 1<\/p>\n<p>38 POP_TOP<\/p>\n<p>40 LOAD_CONST 0 (None)<\/p>\n<p>42 RETURN_VALUE<\/p>\n<h4>2. Python Tabnanny Module<\/h4>\n<p>Python tabnanny checks code for ambiguous indentation.<\/p>\n<p>Hence, it tells us about any weird combinations of tabs and spaces in the code. In Python, whitespace shouldn\u2019t be ambiguous.<\/p>\n<p>Like dis, we can run tabnanny from the command line or using the function check().<\/p>\n<pre class=\"EnlighterJSRAW\">&gt;&gt;&gt; import os\r\n&gt;&gt;&gt; import tabnanny\r\n&gt;&gt;&gt; os.chdir('C:\\\\Users\\\\lifei\\\\Desktop')\r\n&gt;&gt;&gt; tabnanny.check('nannydemo.py')\r\n&gt;&gt;&gt;<\/pre>\n<p>Python Tabnanny module has the following methods:<\/p>\n<p><a href=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/Python-Tabnanny-Module-1.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-84770\" src=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/Python-Tabnanny-Module-1.jpg\" alt=\"Python Tabnanny Module\" width=\"1200\" height=\"628\" srcset=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/Python-Tabnanny-Module-1.jpg 1200w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/Python-Tabnanny-Module-1-300x157.jpg 300w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/Python-Tabnanny-Module-1-1024x536.jpg 1024w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/Python-Tabnanny-Module-1-150x79.jpg 150w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/Python-Tabnanny-Module-1-768x402.jpg 768w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/Python-Tabnanny-Module-1-720x377.jpg 720w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/Python-Tabnanny-Module-1-520x272.jpg 520w, https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/Python-Tabnanny-Module-1-320x167.jpg 320w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><\/a><\/p>\n<p>&nbsp;<\/p>\n<h4 class=\"western\">a. tabnanny.check(file_or_dir) in Python<\/h4>\n<p>This checks the file or directory we pass to it for examining whitespace-related issues. Then, it prints the diagnostic messages to the standard output.<\/p>\n<h4 class=\"western\">b. tabnanny.verbose in Python<\/h4>\n<p>This is a flag that depicts whether Python will print verbose messages.<\/p>\n<h4 class=\"western\">c. tabnanny.filename_only in Python<\/h4>\n<p>This is a flag that depicts whether Python should print only the filenames for those files that contain issues involving whitespace. It also has the following function:<\/p>\n<p class=\"western\"><strong>i. tabnanny.process_tokens(tokens)<\/strong><\/p>\n<p>The tokenize module generates some tokens. check() uses process_tokens() to process these tokens.<\/p>\n<p>Finally, this module may raise the following exception:<\/p>\n<p class=\"western\"><strong>ii. exception tabnanny.NannyNag<\/strong><\/p>\n<p>When process_tokens() detects an ambiguous indent, it raises this exception. check() captures and handles this.<\/p>\n<h4 class=\"western\">3. Python Profile Module<\/h4>\n<p>We may sometimes like to know which parts of our code take the longest. So in a way, through profiling, we try to find bottlenecks in our code. Other profilers in Python are cProfile and hotshot.<\/p>\n<p>Let\u2019s try this module with the cProfile module.<\/p>\n<pre class=\"EnlighterJSRAW\">&gt;&gt;&gt; import hashlib\r\n&gt;&gt;&gt; import cProfile\r\n&gt;&gt;&gt; cProfile.run(\"hashlib.md5('abcdefghijkl').digest()\")<\/pre>\n<p><strong>4 function calls in 0.000 seconds<\/strong><\/p>\n<p><strong>Ordered by: standard name<\/strong><\/p>\n<p><strong>ncalls tottime percall cumtime percall filename:lineno(function)<\/strong><\/p>\n<p><strong>1 0.000 0.000 0.000 0.000 &lt;string&gt;:1(&lt;module&gt;)<\/strong><\/p>\n<p><strong>1 0.000 0.000 0.000 0.000 {built-in method _hashlib.openssl_md5}<\/strong><\/p>\n<p><strong>1 0.000 0.000 0.000 0.000 {built-in method builtins.exec}<\/strong><\/p>\n<p><strong>1 0.000 0.000 0.000 0.000 {method &#8216;disable&#8217; of &#8216;_lsprof.Profiler&#8217; objects}<\/strong><\/p>\n<p>Furthermore, we profile the creation of an MD5 hash here. The first output we get tells us that four function calls were made. Although these are ordered by standard name.<\/p>\n<p><strong>Here\u2019s what all the other columns mean:<\/strong><\/p>\n<ul>\n<li><strong>ncalls: <\/strong>The number of calls made.<\/li>\n<li><strong>tottime: <\/strong>Total time spent in a function.<\/li>\n<li><strong>percall:<\/strong>\u00a0The quotient of tottime divided by ncalls.<\/li>\n<li><strong>cumtime:<\/strong>\u00a0Cumulative time spent in this function and all subfunctions.<\/li>\n<li><strong>percall: <\/strong>The quotient of cumtime divided by primitive calls.<\/li>\n<li><strong>filename:\u00a0lineno(function)-<\/strong>\u00a0Data of each function.<\/li>\n<\/ul>\n<h4 class=\"western\">4. Python PDB Module<\/h4>\n<p>Pdb is the standard Python debugger. It helps us debug our code line by line.<\/p>\n<p><strong>Use of PDB Module in Python:<\/strong><\/p>\n<ul>\n<li><strong>Sets breakpoints:<\/strong> When the program is running, and you pause it, it allows you to check the variables at that point.<\/li>\n<li><strong>Stepping through code:<\/strong> You can move the code one step forward to check if something is wrong in the code.<\/li>\n<li><strong>Code listing:<\/strong> It is a window where you can see which line of the code is running.<\/li>\n<\/ul>\n<pre class=\"EnlighterJSRAW\">&gt;&gt;&gt; import pdb\r\n&gt;&gt;&gt; n=4\r\n&gt;&gt;&gt; def raised(a):\r\n      return a**a\r\npdb.set_trace()\r\neight=raised(8)\r\n&gt;&gt;&gt; print(eight)\r\n&gt;&gt;&gt; two=raised(2)\r\n&gt;&gt;&gt; print(two)<\/pre>\n<p>In the command prompt:<\/p>\n<p>C:\\Users\\lifei\\Desktop&gt;python nannydemo.py<\/p>\n<p>&gt; c:\\users\\lifei\\desktop\\pdbdemo.py(6)&lt;module&gt;()<\/p>\n<p>-&gt; seven=raised(7)<\/p>\n<p>(Pdb)<\/p>\n<p>Now, we can use the commands of the pdb module to debug our code.<\/p>\n<h3>Important Interview Questions on Python Tools<\/h3>\n<p>1. What are the various Python Tools and why are they used?<\/p>\n<p>2. Explain the Python PDB Module.<\/p>\n<p>3. What are Profilers in Python, and name some Python Profilers.<\/p>\n<p>4. Name some methods in the Tabnanny Module.<\/p>\n<p>5. What is the use of the Dis Module in Python?<\/p>\n<h3 class=\"western\">Conclusion<\/h3>\n<p>At Last, these are a few basic tools and utilities of Python: Dis modules, PDB module, the Profile module, and Tabnanny module with an example.<\/p>\n<p>Furthermore, if you have any further queries, feel free to ask in the comments section.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In this Python Tools tutorial, we will focus on Python Dis modules, Python PDB module, Python Profile module, and Python Tabnanny module with examples. So, let&#8217;s start with Python Tools. Which Python Tools are&#46;&#46;&#46;<\/p>\n","protected":false},"author":5,"featured_media":84768,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[46],"tags":[4438,8782,9450,10470,10471,10501,10687,10767,10881,10899,10914,14486,14487,14488,14489,14772,15309],"class_list":["post-17047","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-python","tag-exception-tabnanny-nannynag","tag-modules-in-python","tag-pdb-module","tag-python-debugger","tag-python-debugger-module","tag-python-dis-module","tag-python-modules","tag-python-profile-module","tag-python-tabnanny-module","tag-python-tools","tag-python-utlities","tag-tabnanny-checkfile_or_dir","tag-tabnanny-filename_only","tag-tabnanny-process_tokenstokens","tag-tabnanny-verbose","tag-tools-in-python","tag-utilities-in-python"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Python Tools - 4 Major Utilities of Python - DataFlair<\/title>\n<meta name=\"description\" content=\"Learn Python Tools and Utilities: Dis modules, Pdb module, Profile module, Tabnanny module with example, Disassembler for Python bytecode\" \/>\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-tools\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python Tools - 4 Major Utilities of Python - DataFlair\" \/>\n<meta property=\"og:description\" content=\"Learn Python Tools and Utilities: Dis modules, Pdb module, Profile module, Tabnanny module with example, Disassembler for Python bytecode\" \/>\n<meta property=\"og:url\" content=\"https:\/\/data-flair.training\/blogs\/python-tools\/\" \/>\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=\"2018-06-01T04:00:56+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2026-04-25T09:53:03+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/Python-Tools.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1200\" \/>\n\t<meta property=\"og:image:height\" content=\"628\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\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=\"4 minutes\" \/>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Python Tools - 4 Major Utilities of Python - DataFlair","description":"Learn Python Tools and Utilities: Dis modules, Pdb module, Profile module, Tabnanny module with example, Disassembler for Python bytecode","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-tools\/","og_locale":"en_US","og_type":"article","og_title":"Python Tools - 4 Major Utilities of Python - DataFlair","og_description":"Learn Python Tools and Utilities: Dis modules, Pdb module, Profile module, Tabnanny module with example, Disassembler for Python bytecode","og_url":"https:\/\/data-flair.training\/blogs\/python-tools\/","og_site_name":"DataFlair","article_publisher":"https:\/\/www.facebook.com\/DataFlairWS\/","article_published_time":"2018-06-01T04:00:56+00:00","article_modified_time":"2026-04-25T09:53:03+00:00","og_image":[{"width":1200,"height":628,"url":"https:\/\/data-flair.training\/blogs\/wp-content\/uploads\/sites\/2\/2018\/06\/Python-Tools.jpg","type":"image\/jpeg"}],"author":"DataFlair Team","twitter_card":"summary_large_image","twitter_creator":"@DataFlairWS","twitter_site":"@DataFlairWS","twitter_misc":{"Written by":"DataFlair Team","Est. reading time":"4 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/data-flair.training\/blogs\/python-tools\/#article","isPartOf":{"@id":"https:\/\/data-flair.training\/blogs\/python-tools\/"},"author":{"name":"DataFlair Team","@id":"https:\/\/data-flair.training\/blogs\/#\/schema\/person\/7f83c342f5d1632d6f7b4b0b0f447823"},"headline":"Python Tools &#8211; 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