Control Statements in Python¶

Control statements determine the flow of execution in a program. They allow us to manage the order in which statements are executed, enabling decision-making, repetition, and sequential execution.
There are three primary types of control flow:

Sequential Execution – Executes statements in the order they are written.
Selection (Decision Making) – Executes different statements based on conditions.
Iteration (Looping) – Repeats a block of code multiple times.

1. Sequential Control¶

Definition: Statements execute one after another in a linear fashion.
Behavior: No branching or repetition occurs.

In [ ]:

# Printing steps in sequential order
print("Step 1")  # Executes first
print("Step 2")  # Executes second
print("Step 3")  # Executes third

Step 1
Step 2
Step 3

2. Selection Control (Decision Making)¶

Definition: The program chooses a path based on conditions.
Behavior: Executes different blocks of code depending on conditions (e.g., if-else).

In [ ]:

# Define an age variable
age = 18

# Check if age is 18 or above
if age >= 18:
    print("You are eligible to vote")  # Executes if condition is True
else:
    print("You are not eligible to vote")  # Executes if condition is False

You are eligible to vote

3. Iteration Control (Looping)¶

Definition: Repeats a block of code until a condition is met.
Behavior: Executes loops (for, while).

In [ ]:

# Initialize counter variable
i = 1

# Loop until i is greater than 5
while i <= 5:
    print("Iteration:", i)  # Print the current iteration number
    i += 1  # Increment i by 1 to avoid infinite loop

Iteration: 1
Iteration: 2
Iteration: 3
Iteration: 4
Iteration: 5

Python range() Function¶

The range() function in Python generates a sequence of numbers. It is commonly used in loops to iterate over a specified range without storing all values in memory, making it highly memory efficient.

Syntax¶

range(start, stop, step)

Parameter Details¶

Parameter	Description	Default Value	Required?
`start`	The first number in the sequence	`0`	Optional
`stop`	The number before which the sequence stops	N/A	Required
`step`	The difference between each number in the sequence	`1`	Optional

Useful Information¶

Behavior	Explanation
`range(n)`	Generates numbers from `0` to `n-1`
`range(a, b)`	Generates numbers from `a` to `b-1`
`range(a, b, c)`	Generates numbers from `a` to `b-1` with step `c`
Negative step	Used for reverse iteration

1. Using `range(stop)` – Default Start (0) and Step (1)¶

In [ ]:

# range(5) generates numbers from 0 to 4 (default start: 0, step: 1)

for index in range(5):
    print(index)

# Output:
# 0
# 1
# 2
# 3
# 4

2. Using `range(start, stop)` – Specified Start and Default Step (1)¶

In [ ]:

# Training model over epochs from 5 to 10 (inclusive of 5 but exclusive of 11)

for index in range(5, 11):
    print(index)

# Output:
# 5
# 6
# 7
# 8
# 9
# 10

3. Using `range(start, stop, step)` – Specified Step Value¶

In [ ]:

for index in range(1, 11, 2):
    print(index)

# Output:
# 1
# 3
# 5
# 7
# 9

4. Using `range()` with a Negative Step (Counting Backwards)¶

In [ ]:

for index in range(10, 0, -2):
    print(index)

# Output:
# 10
# 8
# 6
# 4
# 2

Python If...Else Statements¶

Python provides conditional statements to control the flow of execution based on specific conditions.
Python supports the following logical conditions for comparisons:
Equals: a == b
Not Equals: a != b
Less than: a < b
Less than or equal to: a <= b
Greater than: a > b
Greater than or equal to: a >= b

1. If Statements¶

In [ ]:

views = 5000
threshold = 10000

# If views are greater than the threshold, print a message
if views > threshold:
    print("Intensity Coding has reached a milestone!")

# Output: (No output because condition is False)

Indentation in If Statements¶

Python uses indentation to define code blocks. Incorrect indentation leads to errors.

if views > threshold:
print("Intensity Coding has reached a milestone!")  # IndentationError

2. The `elif` Statement¶

The elif keyword is used to check additional conditions when the previous if statement is false.

In [ ]:

subscribers = 10000
goal = 10000

if subscribers > goal:
    print("Intensity Coding has exceeded its subscriber goal!")
elif subscribers == goal:
    print("Intensity Coding has reached its subscriber goal!")

# Output:
# Intensity Coding has reached its subscriber goal!

Intensity Coding has reached its subscriber goal!

3. The `else` Statement¶

The else block executes when none of the preceding conditions are met.

In [ ]:

likes = 150
required_likes = 200

if likes > required_likes:
    print("Intensity Coding video is trending!")
elif likes == required_likes:
    print("Intensity Coding video is gaining attention!")
else:
    print("More likes are needed for trending!")

# Output:
# More likes are needed for trending!

More likes are needed for trending!

In [ ]:

# If there is no need for an `elif`, you can use only `else`:

views = 3000
required_views = 5000

if views > required_views:
    print("Intensity Coding tutorial is getting popular!")
else:
    print("Keep sharing the tutorial to reach more people!")

# Output:
# Keep sharing the tutorial to reach more people!

Keep sharing the tutorial to reach more people!

4. Short-Hand If Statement¶

When an if statement has only one line, it can be written in a single line.

In [ ]:

if views > required_views: print("Tutorial is going viral!")
# Output: (No output because condition is False)

5. Short-Hand If...Else (Ternary Operator)¶

For concise conditional expressions, Python allows a short-hand format.

In [ ]:

subscribers = 5000
goal = 10000

print("Goal Achieved!") if subscribers >= goal else print("Keep Growing!")

# Output:
# Keep Growing!

Keep Growing!

In [ ]:

# You can also use multiple conditions in one line:
subscribers = 10000
goal = 10000

print("Above Goal!") if subscribers > goal else print("On Target!") if subscribers == goal else print("Keep Pushing!")
# Output:
# On Target!

On Target!

6. Logical Operators (`and`, `or`, `not`)¶

Using `and` Operator¶

Both conditions must be True for the block to execute.

In [ ]:

likes = 500
comments = 50
shares = 20

if likes > 400 and comments > 30:
    print("Intensity Coding tutorial is getting engagement!")

# Output:
# Intensity Coding tutorial is getting engagement!

Intensity Coding tutorial is getting engagement!

Using `or` Operator¶

At least one condition must be True for execution.

In [ ]:

if likes > 400 or shares > 50:
    print("Tutorial is gaining visibility!")

# Output:
# Tutorial is gaining visibility!

Tutorial is gaining visibility!

Using `not` Operator¶

Reverses the result of a condition.

In [ ]:

subscribers = 5000
goal = 10000

if not subscribers > goal:
    print("Subscribers goal not reached yet.")

# Output:
# Subscribers goal not reached yet.

Subscribers goal not reached yet.

7. Nested If Statements¶

An if statement inside another if statement is called a nested if.

In [ ]:

views = 12000

if views > 1000:
    print("Intensity Coding tutorial is getting views!")  # Output: Intensity Coding tutorial is getting views!

    if views > 10000:
        print("Tutorial is becoming popular!")  # Output: Tutorial is becoming popular!
    else:
        print("Keep sharing the tutorial.")

# Output:
# Intensity Coding tutorial is getting views!
# Tutorial is becoming popular!

Intensity Coding tutorial is getting views!
Tutorial is becoming popular!

8. The `pass` Statement¶

Python does not allow empty if statements. However, you can use the pass keyword if an if block is required but should not execute any code.

In [ ]:

subscribers = 10000

if subscribers > 5000:
    pass  # Placeholder for future logic

Python Loops – while and for¶

Loops in Python allow executing a block of code multiple times. Python provides two primary loop types:
1. while loop – Executes as long as a specified condition is True.
1. for loop – Iterates over a sequence such as a list, tuple, dictionary, or string.

Python While Loops¶

1. `while` Loop¶

The while loop executes a block of code as long as a specified condition evaluates to True.

Syntax:¶

while condition:
   # Code block to execute

In [ ]:

# Using a while loop to print numbers from 1 to 5
i = 1
while i <= 5:
    print(i)  # Output: 1, 2, 3, 4, 5
    i += 1  # Increment to prevent an infinite loop

2. Infinite Loop¶

A while loop without a stopping condition runs indefinitely.

In [ ]:

# WARNING: This is an infinite loop! Uncomment with caution.
# while True:
#     print("This will run forever!")

3. break Statement¶

The break statement stops the loop even if the condition remains True.

In [ ]:

# Stop the loop when i equals 3
i = 1
while i <= 5:
    print(i)  # Output: 1, 2, 3
    if i == 3:
        break  # Exit the loop
    i += 1

1
2
3

4. `continue` Statement¶

The continue statement skips the current iteration and moves to the next.

In [ ]:

# Skip printing 3
i = 0
while i < 5:
    i += 1
    if i == 3:
        continue  # Skip when i equals 3
    print(i)  # Output: 1, 2, 4, 5

5. `else` Statement¶

The else block runs after the while loop finishes execution.

In [ ]:

# Print numbers and display a message after completion
i = 1
while i <= 5:
    print(i)  # Output: 1, 2, 3, 4, 5
    i += 1
else:
    print("Loop completed!")  # Output: Loop completed!

1
2
3
4
5
Loop completed!

Python For Loops¶

A for loop in Python is used to iterate over a sequence, such as a list, tuple, dictionary, set, or string. Unlike traditional loops in other languages that use indexing, Python's for loop works more like an iterator.

Looping Through a List¶

A for loop allows us to iterate through each item in a list and perform actions on them.

In [ ]:

# Define a list of programming languages
languages = ["Python", "Java", "C++", "JavaScript"]

# Iterate through the list
for lang in languages:
    print(lang)  # Output each language

# Output:
# Python
# Java
# C++
# JavaScript

Python
Java
C++
JavaScript

Looping Through a String¶

Strings in Python are sequences of characters, which means we can iterate through them like a list.

In [ ]:

text = "AI"

# Iterate through each character
for char in text:
    print(char)

# Output:
# A
# I

A
I

Using `break` in a For Loop¶

The break statement stops the loop when a certain condition is met.

In [ ]:

languages = ["Python", "Java", "C++", "JavaScript"]

for lang in languages:
    if lang == "C++":
        break  # Stop when "C++" is found
    print(lang)

# Output:
# Python
# Java

Python
Java

Using `continue` in a For Loop¶

The continue statement skips the current iteration and moves to the next item.

In [ ]:

languages = ["Python", "Java", "C++", "JavaScript"]

for lang in languages:
    if lang == "C++":
        continue  # Skip "C++"
    print(lang)

# Output:
# Python
# Java
# JavaScript

Python
Java
JavaScript

The `range()` Function in For Loops¶

The range() function generates a sequence of numbers, which can be useful for loops.

In [ ]:

# Loop from 0 to 4
for i in range(5):
    print(i)

# Output:
# 0
# 1
# 2
# 3
# 4

In [ ]:

### Specifying Start and End
for i in range(2, 6):
    print(i)

# Output:
# 2
# 3
# 4
# 5

In [ ]:

### Using a Step Value
for i in range(1, 10, 2):
    print(i)

# Output:
# 1
# 3
# 5
# 7
# 9

Else in a For Loop¶

The else block in a for loop runs when the loop finishes normally (i.e., no break).
If the loop is stopped with break, the else block does not execute.

In [ ]:

for i in range(3):
    print(i)
else:
    print("Loop completed!")

# Output:
# 0
# 1
# 2
# Loop completed!

0
1
2
Loop completed!

In [ ]:

#If the loop is stopped with `break`, the `else` block does not execute.
for i in range(3):
    if i == 1:
        break
    print(i)
else:
    print("Loop completed!")

# Output:
# 0

Nested Loops¶

A nested loop is a loop inside another loop.

In [ ]:

# Iterate over different types of AI models and their applications
models = ["CNN", "RNN"]
applications = ["Image Processing", "Text Analysis"]

for model in models:
    for app in applications:
        print(f"{model} is used for {app}")

# Output:
# CNN is used for Image Processing
# CNN is used for Text Analysis
# RNN is used for Image Processing
# RNN is used for Text Analysis

CNN is used for Image Processing
CNN is used for Text Analysis
RNN is used for Image Processing
RNN is used for Text Analysis

The `pass` Statement in a For Loop¶

The pass statement is used as a placeholder when a loop cannot be empty.

In [ ]:

for i in range(3):
    pass  # Placeholder, no action

# No output

Control Statements in Python¶

1. Sequential Control¶

2. Selection Control (Decision Making)¶

3. Iteration Control (Looping)¶

Python range() Function¶

Syntax¶

Parameter Details¶

Useful Information¶

1. Using range(stop) – Default Start (0) and Step (1)¶

2. Using range(start, stop) – Specified Start and Default Step (1)¶

3. Using range(start, stop, step) – Specified Step Value¶

4. Using range() with a Negative Step (Counting Backwards)¶

Python If...Else Statements¶

1. If Statements¶

Indentation in If Statements¶

2. The elif Statement¶

3. The else Statement¶

4. Short-Hand If Statement¶

5. Short-Hand If...Else (Ternary Operator)¶

6. Logical Operators (and, or, not)¶

Using and Operator¶

Using or Operator¶

Using not Operator¶

7. Nested If Statements¶

8. The pass Statement¶

Python Loops – while and for¶

Python While Loops¶

1. while Loop¶

Syntax:¶

2. Infinite Loop¶

3. break Statement¶

4. continue Statement¶

5. else Statement¶

Python For Loops¶

Looping Through a List¶

Looping Through a String¶

Using break in a For Loop¶

Using continue in a For Loop¶

The range() Function in For Loops¶

Else in a For Loop¶

Nested Loops¶

The pass Statement in a For Loop¶

Category

Tag's

1. Using `range(stop)` – Default Start (0) and Step (1)¶

2. Using `range(start, stop)` – Specified Start and Default Step (1)¶

3. Using `range(start, stop, step)` – Specified Step Value¶

4. Using `range()` with a Negative Step (Counting Backwards)¶

2. The `elif` Statement¶

3. The `else` Statement¶

6. Logical Operators (`and`, `or`, `not`)¶

Using `and` Operator¶

Using `or` Operator¶

Using `not` Operator¶

8. The `pass` Statement¶

1. `while` Loop¶

4. `continue` Statement¶

5. `else` Statement¶

Using `break` in a For Loop¶

Using `continue` in a For Loop¶

The `range()` Function in For Loops¶

The `pass` Statement in a For Loop¶