1. What is Branching?
Branching is the ability of a program to change its execution path based on conditions.
- Enables decision-making in code
- Makes programs dynamic and flexible
Key Point:
Branching = program chooses what to do based on conditions
2. IF Statement (Basic Condition)
The if statement checks a condition.
Structure:
if condition:
# code executes if condition is True- Executes only when condition = True
- If False → skipped
Key Point:
IF executes code only when condition is True
3. Example Concept
- If username length < 8 → invalid
- Uses:
len()function<comparator
Key Point:
Conditions control behavior
4. ELSE Statement
The else statement handles the opposite case.
Structure:
if condition:
# True case
else:
# False case- Executes when IF condition is False
Key Point:
ELSE = fallback action
5. IF + ELSE Flow
Example logic:
- IF condition True → run block A
- ELSE → run block B
Key Point:
Ensures all cases are handled
6. Indentation Rules
- Python uses indentation to define blocks
- IF and ELSE must align
- Code inside them must be indented
Key Point:
Indentation defines structure
7. Modulo Operator (%)
The modulo operator returns the remainder of division.
Example:
10 % 2 = 011 % 3 = 2
Use case:
- Check even numbers
Example logic:
- If
number % 2 == 0→ even
Key Point:
Modulo helps with numerical conditions
8. IF Without ELSE
Sometimes else is optional.
Example:
- If condition True → return value
- If False → function continues
Key Point:
ELSE is not always required
9. ELIF Statement (Multiple Conditions)
elif = “else if”
Used when checking multiple conditions.
Structure:
if condition1:
# action 1
elif condition2:
# action 2
else:
# default actionKey Point:
ELIF allows multiple decision paths
10. Avoid Nested IFs
Instead of:
- Multiple nested IF-ELSE
Use:
- ELIF for cleaner code
Key Point:
ELIF improves readability
11. Example: Username Validation
Conditions:
- Length < 8 → invalid
- Length > 15 → invalid
- Otherwise → valid
Flow:
- IF → short
- ELIF → too long
- ELSE → valid
Key Point:
Multiple rules handled clearly
12. Real-World Applications
Branching is used for:
- User validation
- Data filtering
- Access control
- Decision-making systems
Key Point:
Branching is essential in real applications
13. Benefits of Branching
- Makes code flexible
- Enables automation
- Supports complex logic
Key Point:
Branching = intelligent program behavior
14. Best Practices
- Keep conditions simple
- Use ELIF instead of deep nesting
- Maintain consistent indentation
- Write readable logic
Key Point:
Clarity > complexity
Final Summary
Branching in Python allows programs to make decisions based on conditions using if, elif, and else statements. These conditional statements control the flow of execution, enabling different actions depending on input values. The modulo operator is often used for numerical conditions, such as checking even numbers. By using branching effectively, developers can create flexible, efficient, and intelligent programs.
Key Takeaways
- Branching = decision-making in code
- IF executes when condition is True
- ELSE handles False case
- ELIF allows multiple conditions
- Indentation is critical
- Modulo (%) helps with numeric checks
- Avoid deep nesting → use ELIF
- Essential for real-world logic
