[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"site-config":3,"blog-categories":6,"course-tree":34,"blog:post:string-contains-python":36,"blog:page:1":541},{"data":4},{"google_site_verification":5,"ga4_measurement_id":5,"site_name":5,"default_og_image":5,"twitter_handle":5},null,{"data":7},[8,14,19,24,29],{"name":9,"slug":10,"description":11,"post_count":12,"subcategories":13},"CSS","css","Learn CSS with practical tutorials and examples covering layouts, Flexbox, Grid, responsive design, typography, positioning, animations, and more.",1,[],{"name":15,"slug":16,"description":17,"post_count":12,"subcategories":18},"HTML","html","Learn HTML with practical tutorials and examples for beginners. Explore HTML tags, elements, attributes, links, images, forms, semantic HTML, and more with clear explanations and real code examples.",[],{"name":20,"slug":21,"description":22,"post_count":12,"subcategories":23},"WPF","wpf","Learn WPF with practical tutorials and examples covering XAML, windows, controls, layouts, data binding, MVVM, commands, styles, templates, debugging, and modern WPF UI development.",[],{"name":25,"slug":26,"description":27,"post_count":12,"subcategories":28},"Python","python","Learn Python with practical tutorials covering strings, lists, functions, exceptions, files, packages, virtual environments, modules, classes, and beginner programming concepts.",[],{"name":30,"slug":31,"description":32,"post_count":12,"subcategories":33},"Java","java","Learn Java with practical tutorials and examples for beginners. Explore Java syntax, variables, data types, classes, objects, methods, inheritance, exceptions, collections, and more with clear explanations and real code examples.",[],{"data":35},[],{"data":37},{"id":38,"title":39,"slug":40,"excerpt":41,"author":42,"categories":48,"featured_image":50,"reading_time_minutes":54,"meta_title":39,"meta_description":41,"og_image":5,"meta_robots":55,"schema_type":56,"faq_json":5,"video_url":5,"toc_json":57,"published_at":107,"updated_at":108,"content":109,"related":110},4,"How to Check if a String Contains a Word in Python","string-contains-python","The direct way to check if a string contains a word in Python, plus whole-word matching, case-insensitive search, and finding word positions.",{"slug":43,"display_name":44,"job_title":5,"short_bio":5,"expertise_tags":45,"headshot":5,"long_bio":5,"credentials":5,"twitter_url":5,"linkedin_url":5,"github_url":5,"personal_website_url":5,"other_sameas_urls":5,"topics":46,"posts":47},"badar-khalil","Badar Khalil",[],[],[],[49],{"name":25,"slug":26},{"url":51,"alt_text":5,"width":52,"height":53},"https:\u002F\u002Fwpfsharp.com\u002Fstorage\u002Fblog\u002Ffeatured\u002Fstring-contains-python_1.webp",1200,628,10,[],"Article",[58,63,67,71,75,79,83,87,91,95,99,103],{"id":59,"text":60,"level":61,"children":62},"the-direct-answer-use-the-in-operator","The Direct Answer: Use the in Operator",3,[],{"id":64,"text":65,"level":61,"children":66},"in-finds-substrings-not-whole-words","in Finds Substrings, Not Whole Words",[],{"id":68,"text":69,"level":61,"children":70},"how-to-match-a-whole-word-instead-of-any-substring","How to Match a Whole Word Instead of Any Substring",[],{"id":72,"text":73,"level":61,"children":74},"case-insensitive-substring-and-word-checks","Case-Insensitive Substring and Word Checks",[],{"id":76,"text":77,"level":61,"children":78},"finding-where-a-match-occurs-find-and-index","Finding Where a Match Occurs: find() and index()",[],{"id":80,"text":81,"level":61,"children":82},"counting-matches-with-count","Counting Matches with count()",[],{"id":84,"text":85,"level":61,"children":86},"checking-several-words-at-once","Checking Several Words at Once",[],{"id":88,"text":89,"level":61,"children":90},"using-regular-expressions-for-pattern-based-text-search","Using Regular Expressions for Pattern-Based Text Search",[],{"id":92,"text":93,"level":61,"children":94},"common-pitfalls-at-a-glance","Common Pitfalls at a Glance",[],{"id":96,"text":97,"level":61,"children":98},"choosing-the-right-method","Choosing the Right Method",[],{"id":100,"text":101,"level":61,"children":102},"frequently-asked-questions","Frequently Asked Questions",[],{"id":104,"text":105,"level":61,"children":106},"conclusion","Conclusion",[],"2026-09-09T16:50:55+00:00","2026-09-09T16:53:02+00:00","\u003Cp>The simplest way to check if a string contains a word in Python is the \u003Ccode>in\u003C\u002Fcode> operator:\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">if \"word\" in text:\n    ...\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>It returns \u003Ccode>True\u003C\u002Fcode> or \u003Ccode>False\u003C\u002Fcode> immediately, needs no import, and is the right first choice for a plain substring check. That single line covers most versions of this question. Things get more specific when you need a real whole word instead of any matching substring, or the exact position of a match, cases where \u003Ccode>in\u003C\u002Fcode> alone isn't the right tool. This guide covers each of those, along with the mistakes that trip people up.\u003C\u002Fp>\u003Ch3 id=\"the-direct-answer-use-the-in-operator\">The Direct Answer: Use the \u003Ccode>in\u003C\u002Fcode> Operator\u003C\u002Fh3>\u003Cp>\u003Ccode>in\u003C\u002Fcode> is a membership test built into Python strings. It scans the string and returns a boolean, nothing more.\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">text = \"Please check your order status before contacting support.\"\n\nif \"order\" in text:\n    print(\"Found it!\")\nelse:\n    print(\"Not found.\")\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>For the opposite check, use \u003Ccode>not in\u003C\u002Fcode>:\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">text = \"Your package has shipped.\"\n\nif \"cancelled\" not in text:\n    print(\"Order is still active.\")\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>One edge case worth knowing: Python treats the empty string as a substring of every string, so \u003Ccode>\"\" in \"anything\"\u003C\u002Fcode> evaluates to \u003Ccode>True\u003C\u002Fcode>. It rarely comes up in practice, but it can surprise you if a search term is ever empty by accident, such as from unvalidated user input.\u003C\u002Fp>\u003Ch3 id=\"in-finds-substrings-not-whole-words\">\u003Ccode>in\u003C\u002Fcode> Finds Substrings, Not Whole Words\u003C\u002Fh3>\u003Cp>\u003Ccode>in\u003C\u002Fcode> has no concept of a \"word.\" It only checks whether one sequence of characters appears inside another, wherever that happens to be.\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">>>> \"cat\" in \"category\"\nTrue\n>>> \"cat\" in \"concatenate\"\nTrue\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>Both return \u003Ccode>True\u003C\u002Fcode> because \u003Ccode>cat\u003C\u002Fcode> genuinely occurs as a run of characters in each string, even though neither string is about a cat. This becomes a real bug when you're filtering text by keyword:\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">messages = [\"Check out my spammer report\", \"This is not spam\", \"spa reservations\"]\nflagged = [m for m in messages if \"spam\" in m]\nprint(flagged)\n# ['Check out my spammer report', 'This is not spam']\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>The first message gets flagged only because \"spammer\" happens to contain \"spam\" as a substring. If that's not what you want, you need whole-word matching instead, which is a different, more specific check.\u003C\u002Fp>\u003Ch3 id=\"how-to-match-a-whole-word-instead-of-any-substring\">How to Match a Whole Word Instead of Any Substring\u003C\u002Fh3>\u003Ch4 id=\"splitting-the-text-first\">Splitting the Text First\u003C\u002Fh4>\u003Cp>For text with no punctuation attached to the words you care about, splitting into tokens and checking list membership avoids the substring problem entirely:\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">text = \"This is not spam please stop flagging it\"\nwords = text.split()\n\nprint(\"spam\" in words)      # True\nprint(\"spammer\" in words)   # False\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>\u003Ccode>split()\u003C\u002Fcode> breaks the string on whitespace by default, so each list entry is a complete token rather than an arbitrary run of characters. The limitation is punctuation: \u003Ccode>split()\u003C\u002Fcode> leaves it attached to the word, so on a string like \u003Ccode>\"not spam, please stop\"\u003C\u002Fcode>, the token is \u003Ccode>\"spam,\"\u003C\u002Fcode>, not \u003Ccode>\"spam\"\u003C\u002Fcode>, and \u003Ccode>\"spam\" in words\u003C\u002Fcode> would come back \u003Ccode>False\u003C\u002Fcode>.\u003C\u002Fp>\u003Ch4 id=\"tokenizing-text-that-includes-punctuation\">Tokenizing Text That Includes Punctuation\u003C\u002Fh4>\u003Cp>Rather than stripping out punctuation marks one at a time, \u003Ccode>re.findall(r\"\\w+\", text)\u003C\u002Fcode> pulls out word-like tokens directly, treating anything that isn't a letter, digit, or underscore as a separator:\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">import re\n\ntext = \"This is not spam, please stop flagging it.\"\nwords = re.findall(r\"\\w+\", text)\n\nprint(\"spam\" in words)      # True\nprint(\"spammer\" in words)   # False\u003C\u002Fcode>\u003C\u002Fpre>\u003Ch4 id=\"using-regex-word-boundaries\">Using Regex Word Boundaries\u003C\u002Fh4>\u003Cp>\u003Ccode>re.search()\u003C\u002Fcode> with a \u003Ccode>\\b\u003C\u002Fcode> word-boundary marker does a similar job without building an intermediate list, which is convenient when you just need a yes\u002Fno answer:\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">import re\n\ntext = \"This is not spam, please stop flagging it.\"\n\nif re.search(r\"\\bspam\\b\", text):\n    print(\"Whole word match found\")\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>Per the Python documentation, \u003Ccode>\\b\u003C\u002Fcode> marks the boundary between a word character (\u003Ccode>\\w\u003C\u002Fcode>: letters, digits, and underscore) and anything that isn't, or between a word character and the start or end of the string. That's a boundary defined by character classes, not a linguistic definition of a word, and the difference matters in practice. Because a hyphen or an apostrophe counts as \"not a word character,\" \u003Ccode>\\bcat\\b\u003C\u002Fcode> matches the \"cat\" inside \u003Ccode>\"cat's\"\u003C\u002Fcode>, and \u003Ccode>\\bwell\\b\u003C\u002Fcode> matches the \"well\" inside \u003Ccode>\"well-known\"\u003C\u002Fcode>, even though a person might not consider either one a separate whole word:\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">>>> re.findall(r\"\\bcat\\b\", \"the cat's toy\")\n['cat']\n>>> re.findall(r\"\\bwell\\b\", \"a well-known fact\")\n['well']\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>If that distinction matters for your text, such as needing hyphenated compounds treated as single units, a custom pattern or additional post-processing will be more reliable than \u003Ccode>\\b\u003C\u002Fcode> alone.\u003C\u002Fp>\u003Ch3 id=\"case-insensitive-substring-and-word-checks\">Case-Insensitive Substring and Word Checks\u003C\u002Fh3>\u003Ch4 id=\"lower-for-everyday-text\">\u003Ccode>lower()\u003C\u002Fcode> for Everyday Text\u003C\u002Fh4>\u003Cp>Text in the real world is inconsistent about capitalization. The common fix is lowercasing both sides before comparing:\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">text = \"Your ORDER has shipped\"\nkeyword = \"order\"\n\nif keyword.lower() in text.lower():\n    print(\"Match found, case-insensitive\")\u003C\u002Fcode>\u003C\u002Fpre>\u003Ch4 id=\"casefold-for-unicode-text\">\u003Ccode>casefold()\u003C\u002Fcode> for Unicode Text\u003C\u002Fh4>\u003Cp>\u003Ccode>lower()\u003C\u002Fcode> is fine for plain ASCII text, but it doesn't apply every Unicode case-folding rule. Python's \u003Ccode>str.casefold()\u003C\u002Fcode> is built specifically for caseless comparisons and handles more cases than \u003Ccode>lower()\u003C\u002Fcode>. The standard example is the German letter \"ß\": \u003Ccode>lower()\u003C\u002Fcode> leaves it unchanged, while \u003Ccode>casefold()\u003C\u002Fcode> converts it to \"ss\", which is how the two spellings are expected to compare as equal.\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">>>> \"straße\".lower() == \"strasse\"\nFalse\n>>> \"straße\".casefold() == \"strasse\"\nTrue\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>For everyday English text, \u003Ccode>lower()\u003C\u002Fcode> and \u003Ccode>casefold()\u003C\u002Fcode> behave the same way, so \u003Ccode>lower()\u003C\u002Fcode> combined with \u003Ccode>in\u003C\u002Fcode> is a valid and common way to do a case-insensitive substring check. Reach for \u003Ccode>casefold()\u003C\u002Fcode> when your input might include non-English text and the comparison needs to hold up correctly.\u003C\u002Fp>\u003Ch4 id=\"combining-whole-word-and-case-insensitive-matching\">Combining Whole-Word and Case-Insensitive Matching\u003C\u002Fh4>\u003Cp>Regex isn't required for a plain case-insensitive substring check, \u003Ccode>lower()\u003C\u002Fcode> plus \u003Ccode>in\u003C\u002Fcode> already covers that. It becomes useful once you need whole-word and case-insensitive matching \u003Cem>together\u003C\u002Fem>, which \u003Ccode>re.IGNORECASE\u003C\u002Fcode> (or its short alias, \u003Ccode>re.I\u003C\u002Fcode>) handles in one pass:\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">import re\n\ntext = \"Contact SUPPORT for help\"\n\nif re.search(r\"\\bsupport\\b\", text, re.IGNORECASE):\n    print(\"Match found\")\u003C\u002Fcode>\u003C\u002Fpre>\u003Ch3 id=\"finding-where-a-match-occurs-find-and-index\">Finding Where a Match Occurs: \u003Ccode>find()\u003C\u002Fcode> and \u003Ccode>index()\u003C\u002Fcode>\u003C\u002Fh3>\u003Cp>\u003Ccode>in\u003C\u002Fcode> tells you whether a match exists, but not where. When you need the position, use \u003Ccode>find()\u003C\u002Fcode> or \u003Ccode>index()\u003C\u002Fcode>, not as a \"better\" substitute for \u003Ccode>in\u003C\u002Fcode>, but for the extra information they provide.\u003C\u002Fp>\u003Ch4 id=\"find\">\u003Ccode>find()\u003C\u002Fcode>\u003C\u002Fh4>\u003Cp>\u003Ccode>str.find()\u003C\u002Fcode> returns the index of the first match, or \u003Ccode>-1\u003C\u002Fcode> if there isn't one.\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">text = \"The invoice number is 48291\"\nposition = text.find(\"invoice\")\nprint(position)  # 4\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>Here's a bug that catches experienced developers, too: using \u003Ccode>find()\u003C\u002Fcode> directly as a condition.\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">text = \"spam is not welcome here\"\n\nif text.find(\"spam\"):\n    print(\"Found spam\")\nelse:\n    print(\"No spam found\")\n# Prints \"No spam found\", which is wrong\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>\u003Ccode>\"spam\"\u003C\u002Fcode> is actually found at index \u003Ccode>0\u003C\u002Fcode>, but Python treats \u003Ccode>0\u003C\u002Fcode> as falsy in a boolean context, so the \u003Ccode>if\u003C\u002Fcode> branch never runs. Compare explicitly against \u003Ccode>-1\u003C\u002Fcode> instead:\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">if text.find(\"spam\") != -1:\n    print(\"Found spam\")\u003C\u002Fcode>\u003C\u002Fpre>\u003Ch4 id=\"index\">\u003Ccode>index()\u003C\u002Fcode>\u003C\u002Fh4>\u003Cp>\u003Ccode>str.index()\u003C\u002Fcode> behaves the same way as \u003Ccode>find()\u003C\u002Fcode>, except a failed search raises a \u003Ccode>ValueError\u003C\u002Fcode> instead of returning \u003Ccode>-1\u003C\u002Fcode>:\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">text = \"The invoice number is 48291\"\n\ntry:\n    position = text.index(\"receipt\")\nexcept ValueError:\n    print(\"Word not found\")\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>Both methods also accept an optional starting index, which lets you continue searching past a match you've already found:\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">text = \"spam and more spam\"\nfirst = text.find(\"spam\")        # 0\nsecond = text.find(\"spam\", first + 1)  # 14\u003C\u002Fcode>\u003C\u002Fpre>\u003Ch4 id=\"find-vs-index\">\u003Ccode>find()\u003C\u002Fcode> vs. \u003Ccode>index()\u003C\u002Fcode>\u003C\u002Fh4>\u003Ctable>\u003Ctbody>\u003Ctr>\u003Cth rowspan=\"1\" colspan=\"1\">\u003Cp>Method\u003C\u002Fp>\u003C\u002Fth>\u003Cth rowspan=\"1\" colspan=\"1\">\u003Cp>When the Word Is Missing\u003C\u002Fp>\u003C\u002Fth>\u003Cth rowspan=\"1\" colspan=\"1\">\u003Cp>Best For\u003C\u002Fp>\u003C\u002Fth>\u003C\u002Ftr>\u003Ctr>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>\u003Ccode>find()\u003C\u002Fcode>\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>Returns \u003Ccode>-1\u003C\u002Fcode>\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>A missing match is a normal outcome you'll check for\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>\u003Ccode>index()\u003C\u002Fcode>\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>Raises \u003Ccode>ValueError\u003C\u002Fcode>\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>A missing match should be treated as an error\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch3 id=\"counting-matches-with-count\">Counting Matches with \u003Ccode>count()\u003C\u002Fcode>\u003C\u002Fh3>\u003Cp>\u003Ccode>in\u003C\u002Fcode> and \u003Ccode>find()\u003C\u002Fcode> only tell you about the first occurrence. \u003Ccode>str.count()\u003C\u002Fcode> tells you how many non-overlapping times a substring appears in the whole string, which matters if you care about frequency rather than just presence. Note that \"non-overlapping\" means \u003Ccode>\"aaa\".count(\"aa\")\u003C\u002Fcode> returns \u003Ccode>1\u003C\u002Fcode>, not \u003Ccode>2\u003C\u002Fcode>, since the second possible match would reuse a character already claimed by the first.\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">text = \"the cat sat on the mat with a cat and the dog\"\nprint(text.count(\"cat\"))  # 2\nprint(text.count(\"the\"))  # 3\u003C\u002Fcode>\u003C\u002Fpre>\u003Ch3 id=\"checking-several-words-at-once\">Checking Several Words at Once\u003C\u002Fh3>\u003Cp>\u003Ccode>any()\u003C\u002Fcode> checks whether at least one keyword matches; \u003Ccode>all()\u003C\u002Fcode> checks whether every keyword does. Per the Python documentation, both work through the iterable in order and return as soon as the outcome is known: \u003Ccode>any()\u003C\u002Fcode> on the first true value, \u003Ccode>all()\u003C\u002Fcode> on the first false value.\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">text = \"This email looks like a phishing attempt\"\nkeywords = [\"phishing\", \"scam\", \"fraud\"]\n\nif any(word in text for word in keywords):\n    print(\"Suspicious content detected\")\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">text = \"Order confirmed. Payment received. Shipping in progress.\"\nrequired = [\"order\", \"payment\", \"shipping\"]\n\nif all(word.lower() in text.lower() for word in required):\n    print(\"All required terms present\")\u003C\u002Fcode>\u003C\u002Fpre>\u003Ch3 id=\"using-regular-expressions-for-pattern-based-text-search\">Using Regular Expressions for Pattern-Based Text Search\u003C\u002Fh3>\u003Cp>Everything so far has searched for a fixed, literal piece of text. Regex is worth reaching for once you're matching a \u003Cem>shape\u003C\u002Fem> of text instead, something a plain substring check can't express: an ID number, an email-like pattern, or a word followed by digits.\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">import re\n\nlog_line = \"user_id: 48291 failed login attempt\"\nmatch = re.search(r\"user_id:\\s*(\\d+)\", log_line)\nif match:\n    print(match.group(1))  # 48291\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>There's no fixed word to search for here, only a pattern, which is exactly the kind of problem \u003Ccode>in\u003C\u002Fcode>, \u003Ccode>find()\u003C\u002Fcode>, and \u003Ccode>index()\u003C\u002Fcode> can't solve.\u003C\u002Fp>\u003Ch4 id=\"reescape-for-literal-text-inside-a-pattern\">\u003Ccode>re.escape()\u003C\u002Fcode> for Literal Text Inside a Pattern\u003C\u002Fh4>\u003Cp>Sometimes you need to drop a literal, non-pattern string into a larger regex, for example when combining a user-supplied search term with \u003Ccode>re.IGNORECASE\u003C\u002Fcode> or with other pattern pieces. Characters like \u003Ccode>.\u003C\u002Fcode>, \u003Ccode>*\u003C\u002Fcode>, and \u003Ccode>(\u003C\u002Fcode> carry special meaning in regex, so inserting unescaped text can change what the pattern actually matches. \u003Ccode>re.escape()\u003C\u002Fcode> neutralizes those characters so the text is matched literally:\u003C\u002Fp>\u003Cp>python\u003C\u002Fp>\u003Cpre>\u003Ccode class=\"language-python\">import re\n\nuser_term = \"3.14\"\npattern = re.escape(user_term)\ntext = \"The value is 3.14 exactly, not 3x14\"\n\nif re.search(pattern, text):\n    print(\"Literal match found\")\u003C\u002Fcode>\u003C\u002Fpre>\u003Cp>Without \u003Ccode>re.escape()\u003C\u002Fcode>, the unescaped \u003Ccode>.\u003C\u002Fcode> in \u003Ccode>\"3.14\"\u003C\u002Fcode> would match any character, so the pattern would also match a string like \u003Ccode>\"3x14\"\u003C\u002Fcode>. \u003Ccode>re.escape()\u003C\u002Fcode> fixes that by matching the text exactly as written. It's a correctness fix for building a regex pattern, not a substitute for \u003Ccode>in\u003C\u002Fcode> when a plain substring check is all you need.\u003C\u002Fp>\u003Ch3 id=\"common-pitfalls-at-a-glance\">Common Pitfalls at a Glance\u003C\u002Fh3>\u003Cul>\u003Cli>\u003Cp>\u003Cstrong>Treating \u003C\u002Fstrong>\u003Ccode>in\u003C\u002Fcode>\u003Cstrong> as whole-word matching.\u003C\u002Fstrong> It matches substrings, so \u003Ccode>\"cat\" in \"category\"\u003C\u002Fcode> is \u003Ccode>True\u003C\u002Fcode>.\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cstrong>Forgetting that string matching is case-sensitive by default.\u003C\u002Fstrong> \u003Ccode>\"Order\" in \"your order is ready\"\u003C\u002Fcode> is \u003Ccode>False\u003C\u002Fcode> unless you normalize the case first.\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cstrong>Using \u003C\u002Fstrong>\u003Ccode>find()\u003C\u002Fcode>\u003Cstrong> directly in an \u003C\u002Fstrong>\u003Ccode>if\u003C\u002Fcode>\u003Cstrong>.\u003C\u002Fstrong> A match at index \u003Ccode>0\u003C\u002Fcode> is falsy in Python, so \u003Ccode>if text.find(\"word\"):\u003C\u002Fcode> silently fails for matches at the very start of the string.\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cstrong>Letting \u003C\u002Fstrong>\u003Ccode>index()\u003C\u002Fcode>\u003Cstrong> raise on a normal \"not found\" case.\u003C\u002Fstrong> If a missing match is expected rather than exceptional, \u003Ccode>find()\u003C\u002Fcode> or \u003Ccode>in\u003C\u002Fcode> is usually the simpler choice.\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cstrong>Assuming \u003C\u002Fstrong>\u003Ccode>\\b\u003C\u002Fcode>\u003Cstrong> matches a human's idea of a \"word.\"\u003C\u002Fstrong> It matches regex word-character boundaries, so it can split at hyphens and apostrophes in ways you might not expect.\u003C\u002Fp>\u003C\u002Fli>\u003Cli>\u003Cp>\u003Cstrong>Reaching for regex when \u003C\u002Fstrong>\u003Ccode>in\u003C\u002Fcode>\u003Cstrong> already answers the question.\u003C\u002Fstrong> Regex adds real value for whole-word matching, case-insensitive-plus-whole-word combinations, and pattern-based searches; for a plain substring check, \u003Ccode>in\u003C\u002Fcode> is shorter to write and easier to read.\u003C\u002Fp>\u003C\u002Fli>\u003C\u002Ful>\u003Ch3 id=\"choosing-the-right-method\">Choosing the Right Method\u003C\u002Fh3>\u003Ctable>\u003Ctbody>\u003Ctr>\u003Cth rowspan=\"1\" colspan=\"1\">\u003Cp>Situation\u003C\u002Fp>\u003C\u002Fth>\u003Cth rowspan=\"1\" colspan=\"1\">\u003Cp>Recommended Method\u003C\u002Fp>\u003C\u002Fth>\u003C\u002Ftr>\u003Ctr>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>Plain substring check\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>\u003Ccode>in\u003C\u002Fcode>\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>Case-insensitive substring check\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>\u003Ccode>.lower()\u003C\u002Fcode> or \u003Ccode>.casefold()\u003C\u002Fcode> combined with \u003Ccode>in\u003C\u002Fcode>\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>Whole-word match on text without punctuation\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>\u003Ccode>split()\u003C\u002Fcode> and list membership\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>Whole-word match with punctuation\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>\u003Ccode>re.findall(r\"\\w+\", text)\u003C\u002Fcode> or \u003Ccode>re.search()\u003C\u002Fcode> with \u003Ccode>\\b\u003C\u002Fcode>\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>Whole-word and case-insensitive together\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>\u003Ccode>re.search()\u003C\u002Fcode> with \u003Ccode>\\b\u003C\u002Fcode> and \u003Ccode>re.IGNORECASE\u003C\u002Fcode>\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>Position of the first match\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>\u003Ccode>find()\u003C\u002Fcode> (expected miss) or \u003Ccode>index()\u003C\u002Fcode> (unexpected miss)\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>Number of occurrences\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>\u003Ccode>count()\u003C\u002Fcode>\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>Matching several possible words\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>\u003Ccode>any()\u003C\u002Fcode> or \u003Ccode>all()\u003C\u002Fcode>\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003Ctr>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>Matching a pattern rather than fixed text\u003C\u002Fp>\u003C\u002Ftd>\u003Ctd rowspan=\"1\" colspan=\"1\">\u003Cp>\u003Ccode>re\u003C\u002Fcode> module\u003C\u002Fp>\u003C\u002Ftd>\u003C\u002Ftr>\u003C\u002Ftbody>\u003C\u002Ftable>\u003Ch3 id=\"frequently-asked-questions\">Frequently Asked Questions\u003C\u002Fh3>\u003Ch4 id=\"whats-the-simplest-way-to-check-if-a-string-contains-a-word-in-python\">\u003Cstrong>What's the simplest way to check if a string contains a word in Python?\u003C\u002Fstrong>\u003C\u002Fh4>\u003Cp>Use the \u003Ccode>in\u003C\u002Fcode> operator: \u003Ccode>\"word\" in text\u003C\u002Fcode>. It returns \u003Ccode>True\u003C\u002Fcode> if the substring is found anywhere in the string, \u003Ccode>False\u003C\u002Fcode> otherwise.\u003C\u002Fp>\u003Ch4 id=\"does-in-check-for-a-whole-word-or-just-a-substring\">\u003Cstrong>Does \u003C\u002Fstrong>\u003Ccode>in\u003C\u002Fcode>\u003Cstrong> check for a whole word or just a substring?\u003C\u002Fstrong>\u003C\u002Fh4>\u003Cp>A substring. \u003Ccode>\"cat\" in \"category\"\u003C\u002Fcode> returns \u003Ccode>True\u003C\u002Fcode> even though \"category\" isn't about a cat. For whole-word matching, split the text into tokens or use a regex pattern with \u003Ccode>\\b\u003C\u002Fcode>.\u003C\u002Fp>\u003Ch4 id=\"how-do-i-check-for-a-whole-word-instead-of-a-substring\">\u003Cstrong>How do I check for a whole word instead of a substring?\u003C\u002Fstrong>\u003C\u002Fh4>\u003Cp>Split clean, punctuation-free text into a list of words and check membership, or use \u003Ccode>re.search(r\"\\bword\\b\", text)\u003C\u002Fcode> for text with punctuation.\u003C\u002Fp>\u003Ch4 id=\"how-do-i-do-a-case-insensitive-check\">\u003Cstrong>How do I do a case-insensitive check?\u003C\u002Fstrong>\u003C\u002Fh4>\u003Cp>Lowercase both sides with \u003Ccode>.lower()\u003C\u002Fcode> before comparing, use \u003Ccode>.casefold()\u003C\u002Fcode> for text that may include non-English characters, or add \u003Ccode>re.IGNORECASE\u003C\u002Fcode> if you're already using regex for whole-word matching.\u003C\u002Fp>\u003Ch4 id=\"whats-the-difference-between-in-and-find\">\u003Cstrong>What's the difference between \u003C\u002Fstrong>\u003Ccode>in\u003C\u002Fcode>\u003Cstrong> and \u003C\u002Fstrong>\u003Ccode>find()\u003C\u002Fcode>\u003Cstrong>?\u003C\u002Fstrong>\u003C\u002Fh4>\u003Cp>\u003Ccode>in\u003C\u002Fcode> returns a boolean. \u003Ccode>find()\u003C\u002Fcode> returns the index of the first match, or \u003Ccode>-1\u003C\u002Fcode> if the word isn't present, which is useful when you need the position rather than a yes\u002Fno answer.\u003C\u002Fp>\u003Ch4 id=\"what-happens-when-index-cant-find-the-word\">\u003Cstrong>What happens when \u003C\u002Fstrong>\u003Ccode>index()\u003C\u002Fcode>\u003Cstrong> can't find the word?\u003C\u002Fstrong>\u003C\u002Fh4>\u003Cp>It raises a \u003Ccode>ValueError\u003C\u002Fcode>, unlike \u003Ccode>find()\u003C\u002Fcode>, which returns \u003Ccode>-1\u003C\u002Fcode>. Wrap \u003Ccode>index()\u003C\u002Fcode> in a \u003Ccode>try\u003C\u002Fcode>\u002F\u003Ccode>except\u003C\u002Fcode> block if a missing match is a real possibility.\u003C\u002Fp>\u003Ch4 id=\"how-do-i-check-if-any-of-several-words-are-present\">\u003Cstrong>How do I check if any of several words are present?\u003C\u002Fstrong>\u003C\u002Fh4>\u003Cp>Use \u003Ccode>any(word in text for word in keywords)\u003C\u002Fcode> if one match is enough, or \u003Ccode>all(...)\u003C\u002Fcode> if every keyword needs to be present.\u003C\u002Fp>\u003Ch3 id=\"conclusion\">Conclusion\u003C\u002Fh3>\u003Cp>For most cases, the \u003Ccode>in\u003C\u002Fcode> operator is all you need to check if a string contains a word in Python. \u003Ccode>find()\u003C\u002Fcode> and \u003Ccode>index()\u003C\u002Fcode> step in when you need the match's position instead of a yes\u002Fno answer, and \u003Ccode>count()\u003C\u002Fcode> answers \"how many.\" Reach for \u003Ccode>re\u003C\u002Fcode> once you need whole-word boundaries, case-insensitive matching combined with whole words, or a pattern rather than a fixed piece of text. Match the tool to what you actually need, and the rest of the code follows naturally.\u003C\u002Fp>",[111,253,474],{"id":112,"title":113,"slug":114,"excerpt":115,"author":116,"categories":120,"featured_image":122,"reading_time_minutes":54,"meta_title":5,"meta_description":115,"og_image":5,"meta_robots":125,"schema_type":56,"faq_json":5,"video_url":5,"toc_json":126,"published_at":252,"updated_at":252},5,"How to Convert String to Int Java: parseInt(), valueOf() & More","how-to-convert-string-to-int-java-parseint-valueof-more","Learn how to convert string to int Java the right way with parseInt(), valueOf(), radix conversion, and safe NumberFormatException handling.",{"slug":43,"display_name":44,"job_title":5,"short_bio":5,"expertise_tags":117,"headshot":5,"long_bio":5,"credentials":5,"twitter_url":5,"linkedin_url":5,"github_url":5,"personal_website_url":5,"other_sameas_urls":5,"topics":118,"posts":119},[],[],[],[121],{"name":30,"slug":31},{"url":123,"alt_text":124,"width":5,"height":5},"\u002Fstorage\u002Fmedia\u002F01M23RNHPZVQHMX2DYD3YKQJF1.webp","String to int conversion in Java",[],[127,132,144,156,168,180,200,204,208,224,228],{"id":128,"text":129,"level":130,"children":131},"the-quickest-way-to-convert-string-to-int-java-values","The Quickest Way to Convert String to Int Java Values",2,[],{"id":133,"text":134,"level":130,"children":135},"convert-string-to-int-using-integerparseint","Convert String to Int Using Integer.parseInt()",[136,140],{"id":137,"text":138,"level":61,"children":139},"basic-parseint-syntax","Basic parseInt() Syntax",[],{"id":141,"text":142,"level":61,"children":143},"converting-user-input-to-an-int","Converting 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String to Int Java Method Should You Use?",[],{"id":205,"text":206,"level":130,"children":207},"common-mistakes-to-avoid-when-converting-string-to-int","Common Mistakes to Avoid When Converting String to Int",[],{"id":209,"text":210,"level":130,"children":211},"practical-examples-of-string-to-int-conversion","Practical Examples of String-to-Int Conversion",[212,216,220],{"id":213,"text":214,"level":61,"children":215},"convert-a-string-before-performing-arithmetic","Convert a String Before Performing Arithmetic",[],{"id":217,"text":218,"level":61,"children":219},"convert-multiple-string-values","Convert Multiple String Values",[],{"id":221,"text":222,"level":61,"children":223},"convert-a-string-safely-in-a-real-world-input-flow","Convert a String Safely in a Real-World Input Flow",[],{"id":225,"text":226,"level":130,"children":227},"wrapping-up","Wrapping Up",[],{"id":229,"text":230,"level":130,"children":231},"frequently-asked-questions-about-string-to-int-in-java","Frequently Asked 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Java?",[],"2026-09-09T19:09:06+00:00",{"id":61,"title":254,"slug":255,"excerpt":256,"author":257,"categories":261,"featured_image":263,"reading_time_minutes":266,"meta_title":267,"meta_description":256,"og_image":5,"meta_robots":268,"schema_type":56,"faq_json":5,"video_url":5,"toc_json":269,"published_at":473,"updated_at":473},"What Is WPF in C#? A Complete Guide to Windows Presentation Foundation","what-is-wpf-in-csharp","What is WPF in C#? A clear guide to Windows Presentation Foundation, how it works with C# and XAML, and whether it's worth learning in 2026.",{"slug":43,"display_name":44,"job_title":5,"short_bio":5,"expertise_tags":258,"headshot":5,"long_bio":5,"credentials":5,"twitter_url":5,"linkedin_url":5,"github_url":5,"personal_website_url":5,"other_sameas_urls":5,"topics":259,"posts":260},[],[],[],[262],{"name":20,"slug":21},{"url":264,"alt_text":265,"width":5,"height":5},"\u002Fstorage\u002Fmedia\u002F01M20ZGFAW00NYSYC5YMV0SG53.webp","WPF in C# complete guide infographic featuring Visual Studio XAML designer, data binding architecture, MVVM pattern icons, and C# code logic on a laptop screen.",13,"What Is WPF in C#?",[],[270,281,293,309,317,349,365,389,405,413,429,449,461,465,469],{"id":271,"text":267,"level":130,"children":272},"what-is-wpf-in-c",[273,277],{"id":274,"text":275,"level":61,"children":276},"is-wpf-part-of-c-or-net","Is WPF Part of C# or 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