
Defining Functions in Python
A function turns a block of code into a named tool you can call by name. Write the steps once, give them a name, and reuse them across your program instead…
Read tutorialLearn how to organize reusable Python code with functions, arguments, scope, built-in functions, modules, imports, and practical code-reuse patterns.
Tutorials
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A function turns a block of code into a named tool you can call by name. Write the steps once, give them a name, and reuse them across your program instead…
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Arguments are how you feed a function; return values are how it hands you the answer. Master both and you stop writing one-off code and start wiring…
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An import statement is not a magic incantation. It is a name-resolution request: you tell the running Python program, "find this module and make its names…
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A Python module is just a .py file you can reuse from other files. The moment you split one growing script into two files and import one from the other,…
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Reading about functions teaches you the rules. Writing them teaches you the mechanism. These python functions exercises are built so you run code, inspect…
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You've learned to write functions with def, giving each one a name and a job. Then you meet lambdas and wonder: should I be rewriting everything? The short…
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You write a function. It works perfectly. The variable inside it prints exactly what you expected. Then you try to use that same variable outside the…
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Python ships with a toolbox of ready-made functions. You call them, they do the job, and you move on. No imports. No setup. Just a name, some parentheses,…
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Copy-paste feels fast. It is also how small scripts turn into maintenance traps.
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Reading about imports is easy. Running them until they work from memory is where the skill actually forms. You can follow a tutorial on Python modules and…
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Every Python project starts as a single script that does one job. Then it grows. You add a feature, then another, then a helper function that needs its own…
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