Understanding Closures and Decorators in Python
Variable Scope and Nested Functions
Function Basics
Functions are defined using the def keyword, followed by a name and parentheses. The body is indented and may include an optional return statement.
def calculate_total(price, tax_rate):
"""Compute total cost including tax."""
return price * (1 + tax_rate)
...
Posted on Fri, 08 May 2026 05:27:12 +0000 by jtgraphic
Understanding the Python `return` Statement in Depth
A function communicates results back to its caller through the return keyword, which simultaneously signals the termination of the function’s execution. Any code written below return inside the function body will not run unless an exception-handling mechanism intervenes.
def demo():
print("Starting")
return "finished" ...
Posted on Thu, 07 May 2026 21:44:38 +0000 by mikelmao
Python Functions and Object-Oriented Programming Fundamentals
Functions eliminate code duplication by packaging reusable logic into named blocks. Declare them using the def keyword followed by an identifier and parentheses.
def greet():
print("Function executed")
greet()
Parameters make functiosn flexible by accepting external data. Define required and optional parameters within the parent ...
Posted on Thu, 07 May 2026 20:12:34 +0000 by aalmos
Core Python Data Structures and Control Flow
Tuple Indexing
Tuples support both forward and reverse indexing:
data = (10, 20, 30, 40, 50)
print(data[0]) # Output: 10
print(data[-1]) # Output: 50
Nested tuples can be accessed using multiple indices:
matrix = ((1, 2, 3), (4, 5, 6))
print(matrix[0][1]) # Output: 2
Iteration
Iterate over sequences using while or for:
values = (5, 10, 15 ...
Posted on Thu, 07 May 2026 11:11:06 +0000 by NerdConcepts