Module 09
Flow Control Statements
Learn decision-making, loops, transfer statements, and nested control flow.
01
Flow Control Statements — Overview
Learn Python flow control: conditional, looping, and transfer statements. Decide once, repeat finitely, or jump control between program parts.
02
Simple if Statement — Conditional Branching
Use Python simple if statements for one-time decisions. Compare values, validate input, and run blocks only when conditions are true.
03
if..else Statement — Two-Way Branching
Write Python if-else statements for mutually exclusive decisions: biggest of two numbers, digit names, and ticket validation patterns.
04
if..elif..else Statement — Multi-Way Decisions
Master Python if-elif-else chains for digit names, biggest-of-three logic, and dictionary-based classification with clear multi-way branching.
05
match..case Statement — Menu-Driven Programs (Python 3.10+)
Use Python match-case for menu-driven apps: arithmetic operations, base conversion, weekday classification, and default case handling.
06
while Loop and while..else — Iterative Statements
Write Python while loops with initialization, condition, and updation. Generate number series, multiplication tables, and sums using while..else.
07
for Loop and for..else — Iterate Over Collections
Use Python for loops over strings, lists, range, and dicts. Compare while vs for, build multiplication tables, find factors, and check perfect numbers.
08
break Statement — Exit a Loop Early
Use Python break inside for and while loops to terminate iteration early. Learn how break skips the loop else block and see string search examples.
09
continue Statement — Skip to Next Iteration
Use Python continue in for and while loops to skip the rest of the current iteration. Filter vowels, skip characters, and keep the loop else block behavior.
10
pass Statement — Placeholder for Empty Blocks
Use Python pass as a null statement in if, else, for, and while blocks. Keep syntax valid when a block is intentionally empty.
11
Nested Loops — Inner and Outer Loop Patterns
Master Python nested loops: for-in-for, while-in-while, for-in-while, while-in-for. Build prime finders, validation, and marks reports.
12
Flow Control Practice — Combined Interview Programs
Final flow control revision: dedupe marks, list chains, set algebra, nested dict CRUD, hashability checks, and 10 interview-style problems.