The String Toolkit
Strings have a rich set of built-in methods. This tutorial covers the ones you will use most — not a complete reference, but the practical toolkit for real programs: parsing input, transforming text, and splitting data.
Inspection and normalization — the first thing to do with any user input:
start:\n string raw = " Hello, Clean Language! "\n string clean = raw.trim()\n\n print("Length before: " + raw.length().toString())\n print("Length after: " + clean.length().toString())\n print("Upper: " + clean.toUpperCase())\n print("Lower: " + clean.toLowerCase())\n print("Has 'Clean': " + clean.contains("Clean").toString())\n print("Starts with 'Hello': " + clean.startsWith("Hello").toString())\n print("Ends with '!': " + clean.endsWith("!").toString())Length before: 26\nLength after: 22\nUpper: HELLO, CLEAN LANGUAGE!\nLower: hello, clean language!\nHas 'Clean': true\nStarts with 'Hello': true\nEnds with '!': true.trim() removes leading and trailing whitespace — always call it on user input before doing anything else. .contains(), .startsWith(), and .endsWith() return boolean and work directly in if conditions.
Transformation and parsing — working with structured text:
start:\n string title = "Hello World From Clean Language"\n string slug = title.toLowerCase().replace(" ", "-")\n print(slug)\n\n string csv = "alice,bob,charlie,diana"\n list<string> names = csv.split(",")\n iterate name in names\n print("- " + name.trim())\n\n string code = "PROMO2026"\n string prefix = code.slice(0, 5)\n string suffix = code.slice(5, 9)\n print("Prefix: " + prefix + ", Suffix: " + suffix)hello-world-from-clean-language\n- alice\n- bob\n- charlie\n- diana\nPrefix: PROMO, Suffix: 2026.replace(from, to) swaps every occurrence — method calls chain naturally. .split(delimiter) returns a list
Quick recap
- .trim() removes whitespace from both ends — always use on user input
- .contains(), .startsWith(), .endsWith() return boolean for use in if conditions
- .replace(from, to) replaces all occurrences — chain with other methods
- .split(delimiter) returns list
— iterate over the result immediately