Formation
90 min read
Data Structures
📦 Functions in Python
Learning objectives
🎯 Objectives:\n
1Create functions\n2. Use default parameters\n3. Understand scope\n4. Use args and *kwargs\n5. Master lambda functions
Introduction
📖 Functions allow code reuse and better program organization.
Theoretical content
Function:\n
PYTHON
\ndef greet(name):\n print(f"Hello {name}")\nPractical examples
💻 Example: Calculator\n
PYTHON
\ndef add(a, b):\n return a + b\n\nprint(add(5, 3))\nBest practices
1Explicit function names\n✅ 2. Document with docstrings\n✅ 3. Single responsibility principle
Common pitfalls
Modifying mutable default parameters\n
def f(list=None): list = list or []
Summary
def: definition\n✅ return: return value\n✅ Default parameters\n✅ args: variable arguments\n✅ *kwargs: keyword arguments\n✅ lambda: anonymous functions
Additional resources
📚 docs.python.org/3/tutorial/controlflow.html#defining-functions