Functions & basics
Reusable building blocks — parameters, returns, scope, and clear function design.
How to Use Default Parameter Values in Python Functions
Shows how to define and call Python functions with default parameter values, including overriding some or all defaults and using keyword arguments.
def greet(name, greeting="Hello", punctuation="!"):
"""Return a greeting message using default parameters."""
return f"{greeting}, {name}{punctuation}"
if __name__ == "__main__":
# Using defaults
print(greet("Alice"))
# Overriding first default
print(greet("Bob", "Hi"))
# Overrid…
How to Use Default Parameter Values in Python Functions
This code demonstrates how to define a Python function with default parameters and call it with varying numbers of arguments to see the defaults applied.
def greet(name, greeting="Hello", punctuation="!"):
message = f"{greeting}, {name}{punctuation}"
print(message)
if __name__ == "__main__":
greet("Alice")
greet("Bob", "Hi")
greet("Charlie", "Hey", "?")
How to Use Default Parameters in Python Functions
A beginner-friendly Python function that uses default parameters to compare two numbers with equal, greater, or less operations.
def compare(a, b, operation="equal"):
if operation == "equal":
return a == b
elif operation == "greater":
return a > b
elif operation == "less":
return a < b
else:
return f"Unknown operation: {operation}"
if __name__ == "__main__":
print(compare(5, 5))
print(com…
How to Use Default Parameters in Python Functions
Define a Python function with default parameters and call it using positional and keyword arguments.
def greet(name, greeting="Hello", punctuation="!"):
"""Concatenate a greeting message with default parameters."""
return f"{greeting}, {name}{punctuation}"
if __name__ == "__main__":
print(greet("Alice")) # Uses both defaults
print(greet("Bob", "Hi")) # Uses default punctua…
How to Use Default Parameters in Python Functions
Create a simple function with default parameters to build flexible, reusable greetings in Python.
def greet(name, greeting="Hello", punctuation="!"):
"""Return a personalized greeting message."""
return f"{greeting}, {name}{punctuation}"
if __name__ == "__main__":
print(greet("Alice"))
print(greet("Bob", "Hi"))
print(greet("Charlie", greeting="Hey", punctuation="?"))…
How to Use Default Parameters with Python's Split Function
Create a reusable Python wrapper around str.split with sensible default parameters for delimiter and maxsplit, showing beginners how default arguments work.
def split_with_defaults(text, delimiter=" ", maxsplit=-1):
"""
Split a string into parts using a delimiter.
Default behavior: split on spaces, unlimited splits.
"""
parts = text.split(delimiter, maxsplit)
return parts
if __name__ == "__main__":
# Example usage with defaults and custom par…
How to Use Keyword-Only Arguments in Python Functions
Define Python functions with keyword-only arguments using the * separator to enforce clarity and prevent positional misuse.
def greet(name, *, greeting="Hello", punctuation="!"):
"""Greet someone with a customizable message using keyword-only arguments."""
message = f"{greeting}, {name}{punctuation}"
return message
if __name__ == "__main__":
# Basic call with only the positional argument
print(greet("Alice"))
# Al…
How to Use Lambda Sorting Keys in Python
Learn to sort lists of dictionaries using lambda functions as key arguments in Python's sorted() method.
# Demonstrate lambda as a sorting key function
students = [
{"name": "Alice", "grade": 88},
{"name": "Bob", "grade": 92},
{"name": "Charlie", "grade": 75},
{"name": "Diana", "grade": 95}
]
# Sort by grade (ascending) using a lambda key
sorted_by_grade = sorted(students, key=lambda student: student["g…
How to Use a Dispatch Table in Python (Map Strings to Functions)
Maps string command names to callable functions in a dictionary, then dispatches calls safely with error handling.
def add(a, b):
return a + b
def subtract(a, b):
return a - b
def multiply(a, b):
return a * b
def divide(a, b):
if b == 0:
raise ValueError("Division by zero")
return a / b
dispatch = {
"add": add,
"subtract": subtract,
"multiply": multiply,
"divide": divide,
}
def…
How to Use functools.reduce in Python
Apply functools.reduce with operator functions and lambda expressions to aggregate lists into sums, products, maximums, and concatenated strings.
from functools import reduce
import operator
# Sum all numbers in a list using reduce
numbers = [1, 2, 3, 4, 5]
sum_result = reduce(operator.add, numbers)
# Find the maximum value using reduce
max_result = reduce(lambda a, b: a if a > b else b, numbers)
# Multiply all numbers using reduce
product_result = reduce(la…
How to Use singledispatch for Type-Based Overloading in Python
This code demonstrates Python's functools.singledispatch decorator to create functions that behave differently based on the type of their first argument.
from functools import singledispatch
@singledispatch
def process(value):
return f"Unknown type: {type(value).__name__}"
@process.register(int)
def _(value):
return f"Integer: {value * 2}"
@process.register(str)
def _(value):
return f"String: {value.upper()}"
@process.register(list)
def _(value):
re…
How to Use the if __name__ == '__main__' Guard in Python
This code defines reusable functions and uses the standard main guard to run them only when the script is executed directly, not when imported.
def greet(name: str) -> str:
"""Return a friendly greeting."""
return f"Hello, {name}!"
def get_planet() -> str:
"""Return the name of our planet."""
return "Earth"
if __name__ == "__main__":
user = "Dorothy"
print(greet(user))
print(f"We live on {get_planet()}.")
How to Write a Normalize Function with Default Parameters in Python
Define a reusable normalize function with configurable default parameters for lowercase conversion, whitespace stripping, and punctuation removal.
def normalize(text, lowercase=True, strip_whitespace=True, remove_punctuation=False):
"""Normalize a string based on configurable options."""
if lowercase:
text = text.lower()
if strip_whitespace:
text = text.strip()
if remove_punctuation:
text = ''.join(char for char in text if…
How to Write a Python Decorator with functools.wraps
Create a decorator that wraps a function while preserving its metadata using functools.wraps.
from functools import wraps
def logger(func):
@wraps(func)
def wrapper(*args, **kwargs):
print(f"Calling {func.__name__}")
return func(*args, **kwargs)
return wrapper
@logger
def greet(name):
"""Return a friendly greeting."""
return f"Hello, {name}!"
if __name__ == "__main__":…
How to measure function memory with sys.getsizeof in Python
Measure the memory footprint of Python functions (user-defined and built-in) using sys.getsizeof.
import sys
def sample_function(a, b, c):
return a + b - c
def measure_function_memory(func):
size = sys.getsizeof(func)
print(f"Memory size of {func.__name__}: {size} bytes")
if __name__ == "__main__":
measure_function_memory(sample_function)
measure_function_memory(print)
measure_function_m…
How to use function defaults in Python
Define Python functions with default parameter values so callers can omit arguments and use sensible fallbacks.
def greet(name="Guest", greeting="Hello", punctuation="!"):
"""Return a greeting message using default parameters."""
return f"{greeting}, {name}{punctuation}"
def describe_pet(pet_name, animal_type="dog"):
"""Display information about a pet with a default animal type."""
print(f"I have a {animal_type…
Mutual Recursion for Even/Odd Check in Python
Implements even and odd checks using two functions that call each other recursively, demonstrating base cases and alternating calls.
def is_even(n):
if n == 0:
return True
return is_odd(n - 1)
def is_odd(n):
if n == 0:
return False
return is_even(n - 1)
if __name__ == "__main__":
for num in range(0, 11):
print(f"{num}: even={is_even(num)}, odd={is_odd(num)}")
Profile Python functions with cProfile
Profile a Python program with cProfile, capture the stats in memory, and print a sorted performance report.
import cProfile
import pstats
import io
def slow_function():
total = 0
for i in range(100000):
total += i ** 2
return total
def medium_function():
return sum(range(10000))
def fast_function():
return sum(range(100))
def main():
result1 = slow_function()
result2 = medium_func…
Python Filter Function with Default Parameters for Beginners
Create a reusable filter function with default parameters to keep or exclude numbers above or below a threshold.
def filter_numbers(numbers, threshold=0, reverse=False):
"""Return numbers that pass the threshold filter.
Args:
numbers: list of numbers to filter
threshold: minimum value to keep (default 0)
reverse: if True, keep numbers below threshold (default False)
"""
if reverse:
…
Python Function Default Parameters Explained with Examples
Learn how to define Python functions with default parameter values and call them with fewer arguments than declared.
def greet(name, greeting="Hello", punctuation="!"):
return f"{greeting}, {name}{punctuation}"
def calculate_area(length, width=1, unit="sq units"):
area = length * width
return f"Area: {area} {unit}"
if __name__ == "__main__":
print(greet("Alice"))
print(greet("Bob", "Hi"))
print(greet("Charl…
Write a Pure Function Without Side Effects in Python
Defines a pure function that adds one to a number without modifying external state.
def add_one(x: int) -> int:
"""Adds 1 to the input without modifying any external state."""
return x + 1
if __name__ == "__main__":
original = 5
result = add_one(original)
print(f"Original: {original}")
print(f"Result: {result}")
print(f"Original unchanged: {original}")
Write a Recursive Factorial Function in Python
Define a recursive factorial function that handles edge cases and returns the product of all positive integers up to n.
def factorial(n):
"""Return the factorial of n using recursion."""
if n < 0:
raise ValueError("Factorial is not defined for negative numbers")
if n == 0 or n == 1:
return 1
return n * factorial(n - 1)
if __name__ == "__main__":
print(factorial(5))
Compound interest calculator in Python
Compute future investment value with the compound interest formula and a readable year-by-year loop.
def future_value(
principal: float,
annual_rate: float,
years: int,
compounds_per_year: int = 12,
) -> float:
"""Return balance after compound interest (rounded to cents)."""
rate_per_period = annual_rate / compounds_per_year
periods = compounds_per_year * years
amount = principal * (1 …
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