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Python Functions & Arguments
Defining functions with def, return values, default parameters, *args, and **kwargs.
📋 Copy Python Functions, Type Hints & Kwargs Snippet
def configure_node(
hostname: str,
*ip_aliases: str,
port: int = 8080,
**tags: str
) -> dict:
"""Standardized node deployment configuration."""
return {
"host": hostname,
"aliases": list(ip_aliases),
"port": port,
"metadata": tags
}
cfg = configure_node("srv-01", "10.0.0.1", port=443, region="us-east", tier="gold")Interactive Sandbox & Core Concepts
Python is celebrated for its clean syntax, high readability, and expressive standard library. Understanding Python Functions & Arguments is essential for backend engineering, high-throughput automation, and data pipelines.
⚠️ 5 Fatal Traps & Python Pitfalls
Trap #1: Mutable Default Argument Value Leak
Writing
def add(item, target=[]): binds the list default at function definition time. Subsequent calls mutate and share the exact same list across users. Always default to None.Trap #2: Shadowing Outer Scope Without global or nonlocal
Assigning to a variable inside a function makes it a local variable throughout that function. If you try to read it before assignment, Python throws
UnboundLocalError.Trap #3: Forgetting Keyword-Only Arguments (*)
When defining boolean flags or critical parameters, failing to enforce keyword-only arguments (
def f(x, *, verbose=False):) allows callers to pass confusing unnamed booleans like f(5, True).Trap #4: Returning Multiple Values Unintentionally as a Tuple
Writing
return a, b returns a single 2-element tuple. If the caller assigns to a single variable (res = f()), they receive the tuple rather than separate values.Trap #5: Missing Return Statement Returning None
In Python, functions without an explicit
return statement automatically return None upon reaching the end of the block.💬 Frequently Asked Questions
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