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πŸ” Python Control Flow – Mastering Conditions, Loops, and Flow Control (2025 Guide)


🧲 Introduction – Why Learn Python Control Flow?

Control flow in Python lets you make decisions, repeat actions, and control how your code executes. Whether it’s checking a condition, iterating over data, or skipping certain statements, Python offers clean and powerful control structures.

🎯 In this guide, you’ll learn:

  • How to use if, else, match-case, and nested conditions
  • Different types of loops in Python
  • Flow control keywords: break, continue, and pass

πŸ“Œ Topics Covered

πŸ”’ TopicπŸ“˜ Description
Python Decision MakingBasic conditional logic in Python
Python If StatementExecutes block if condition is true
Python If…ElseAdds alternative path if condition is false
Python Nested IfConditional statements inside another
Python Match-Case StatementPattern matching alternative to if-elif
Python LoopsRepeating actions using loop constructs
Python for LoopsIterating over sequences
Python while LoopsLooping while a condition remains true
Python for-else LoopsElse clause after normal loop execution
Python Nested LoopsLoop inside another loop
Python break / continue / passControl keywords for managing loop behavior

🧠 Python Decision Making

Python uses if, else, and elif statements for decision-making. Conditions are evaluated as booleans (True or False), and the block inside the condition runs only when it’s true.


βœ… Python if Statement

Executes a block only if the condition is True.

x = 10
if x > 5:
    print("x is greater than 5")

πŸ” Python if…else Statement

Adds an alternate block that runs if the condition is False.

x = 3
if x > 5:
    print("x is greater")
else:
    print("x is smaller or equal")

🧩 Python Nested if Statement

Place one if block inside another for multiple checks.

x = 20
if x > 10:
    if x < 30:
        print("x is between 10 and 30")

🧬 Python match-case Statement (Python 3.10+)

Modern alternative to multiple if-elif statements.

value = 2
match value:
    case 1:
        print("One")
    case 2:
        print("Two")
    case _:
        print("Default case")

πŸ“Œ The _ case acts like else.


πŸ” Python Loops – Repeating Execution

Loops allow you to run code multiple times. Python supports for and while loops for iteration.


πŸ”‚ Python for Loop

Used to iterate over sequences like lists, strings, and ranges.

for i in range(3):
    print(i)

πŸ“Œ Outputs: 0, 1, 2


πŸ”„ Python while Loop

Continues to execute as long as the condition is true.

x = 0
while x < 3:
    print(x)
    x += 1

πŸ§ͺ Python for-else Loop

else block runs only if loop completes without break.

for num in [1, 2, 3]:
    print(num)
else:
    print("Loop completed")

πŸ“Œ If the loop is exited with break, the else block is skipped.


πŸ” Python Nested Loops

A loop inside another loop, commonly used with 2D data.

for i in range(2):
    for j in range(3):
        print(f"i={i}, j={j}")

πŸ”§ Python break, continue, pass

These keywords help you manage loop execution:

  • break: Exit the loop completely.
  • continue: Skip current iteration and move to next.
  • pass: Do nothing; acts as a placeholder.

πŸ§ͺ Examples:

# break
for i in range(5):
    if i == 3:
        break
    print(i)  # prints 0, 1, 2

# continue
for i in range(5):
    if i == 3:
        continue
    print(i)  # skips 3

# pass
for i in range(5):
    if i == 3:
        pass  # placeholder
    print(i)

πŸ“Œ Summary – Recap & Next Steps

Mastering control flow is essential to writing logical, organized, and interactive Python programs. Understanding how and when to use if, loops, and flow control keywords will help you write cleaner, smarter code.

πŸ” Key Takeaways:

  • Use if, else, and match-case for decision making
  • Loop using for, while, and control flow with break, continue
  • for-else and nested loops help with advanced iterations

βš™οΈ Next Steps:

  • Write mini-programs using loops and conditionals
  • Practice decision-making tasks like calculators or pattern generators
  • Explore error handling and function definitions next

❓ Frequently Asked Questions (FAQs)


❓ What is the difference between break and continue?
βœ… break exits the loop completely, while continue skips the current iteration.


❓ Can we use else with loops in Python?
βœ… Yes. Python supports else with for and while. It runs only if the loop finishes naturally (not with break).


❓ What is the benefit of match-case over if-elif?
βœ… It offers cleaner syntax and better performance for many constant comparisons.


❓ Is indentation important in Python control flow?
βœ… Yes, indentation is required to define blocks inside if, loops, and other constructs.


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