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Python Loops Tutorial
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Python Loops Tutorial

Python Loops Tutorial

1. The for Loop
The first for LoopRange() in a for Loop 1/2Range() in a for Loop 2/2List & for LoopIf/Else in a for LoopBreak/Continue in a for LoopPass, Else in a for LoopEnumerate() in a for LoopChallenge
2. The while Loop
The First while LoopInfinite LoopList & while LoopIf/Else in a while LoopBreak/Continue in a while LoopPass, Else in a while Loop
3. Nested Loops
First Nested Loop PatternNested for LoopNested while LoopWhile Loop inside a for LoopIf/Else in a Nested LoopBreak/Continue in a Nested LoopChallenge

bookNested for Loop

Let's delve into the world of matrices!

With the aid of a nested loop, we can manipulate matrices.

In mathematics, a matrix is a rectangular array or table of numbers, symbols, or expressions organized in rows and columns. It's used to represent a mathematical object or a characteristic of such an object.

In Python, a matrix is a data structure composed of nested lists.

The outer loop will handle the matrix's rows, while the inner loop will manage the columns, or vice versa.

Note

  • len(matrix) signifies the number of rows.
  • len(matrix[i]) represents the count of elements in a row (equivalent to the number of columns). Or vice versa.

Examine the code below:


              
12345678910

            
matrix = [ [1, 2, 4, 29],
           [3, 4, 6, 1] ]

# Printing every element in the matrix
# Outer loop to work with the number of rows
for i in range(len(matrix)):
  # Inner loop to work with the number of element in the row
  for j in range(len(matrix[i])):
    print(matrix[i][j], end = ' ')
  print('')
copy

How does this code work?

Task

You must calculate the sum of all elements within the matrix.

  1. Initialize counter = 0.
  2. Configure the outer for loop to iterate through the number of rows in the matrix.
  3. Configure the inner for loop to iterate through the number of elements in each row of the matrix.
  4. Accumulate the sum using the counter variable.
  5. Display the value stored in the counter.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 3. Chapter 2
toggle bottom row

bookNested for Loop

Let's delve into the world of matrices!

With the aid of a nested loop, we can manipulate matrices.

In mathematics, a matrix is a rectangular array or table of numbers, symbols, or expressions organized in rows and columns. It's used to represent a mathematical object or a characteristic of such an object.

In Python, a matrix is a data structure composed of nested lists.

The outer loop will handle the matrix's rows, while the inner loop will manage the columns, or vice versa.

Note

  • len(matrix) signifies the number of rows.
  • len(matrix[i]) represents the count of elements in a row (equivalent to the number of columns). Or vice versa.

Examine the code below:


              
12345678910

            
matrix = [ [1, 2, 4, 29],
           [3, 4, 6, 1] ]

# Printing every element in the matrix
# Outer loop to work with the number of rows
for i in range(len(matrix)):
  # Inner loop to work with the number of element in the row
  for j in range(len(matrix[i])):
    print(matrix[i][j], end = ' ')
  print('')
copy

How does this code work?

Task

You must calculate the sum of all elements within the matrix.

  1. Initialize counter = 0.
  2. Configure the outer for loop to iterate through the number of rows in the matrix.
  3. Configure the inner for loop to iterate through the number of elements in each row of the matrix.
  4. Accumulate the sum using the counter variable.
  5. Display the value stored in the counter.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Section 3. Chapter 2
toggle bottom row

bookNested for Loop

Let's delve into the world of matrices!

With the aid of a nested loop, we can manipulate matrices.

In mathematics, a matrix is a rectangular array or table of numbers, symbols, or expressions organized in rows and columns. It's used to represent a mathematical object or a characteristic of such an object.

In Python, a matrix is a data structure composed of nested lists.

The outer loop will handle the matrix's rows, while the inner loop will manage the columns, or vice versa.

Note

  • len(matrix) signifies the number of rows.
  • len(matrix[i]) represents the count of elements in a row (equivalent to the number of columns). Or vice versa.

Examine the code below:


              
12345678910

            
matrix = [ [1, 2, 4, 29],
           [3, 4, 6, 1] ]

# Printing every element in the matrix
# Outer loop to work with the number of rows
for i in range(len(matrix)):
  # Inner loop to work with the number of element in the row
  for j in range(len(matrix[i])):
    print(matrix[i][j], end = ' ')
  print('')
copy

How does this code work?

Task

You must calculate the sum of all elements within the matrix.

  1. Initialize counter = 0.
  2. Configure the outer for loop to iterate through the number of rows in the matrix.
  3. Configure the inner for loop to iterate through the number of elements in each row of the matrix.
  4. Accumulate the sum using the counter variable.
  5. Display the value stored in the counter.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Everything was clear?

How can we improve it?

Thanks for your feedback!

Let's delve into the world of matrices!

With the aid of a nested loop, we can manipulate matrices.

In mathematics, a matrix is a rectangular array or table of numbers, symbols, or expressions organized in rows and columns. It's used to represent a mathematical object or a characteristic of such an object.

In Python, a matrix is a data structure composed of nested lists.

The outer loop will handle the matrix's rows, while the inner loop will manage the columns, or vice versa.

Note

  • len(matrix) signifies the number of rows.
  • len(matrix[i]) represents the count of elements in a row (equivalent to the number of columns). Or vice versa.

Examine the code below:


              
12345678910

            
matrix = [ [1, 2, 4, 29],
           [3, 4, 6, 1] ]

# Printing every element in the matrix
# Outer loop to work with the number of rows
for i in range(len(matrix)):
  # Inner loop to work with the number of element in the row
  for j in range(len(matrix[i])):
    print(matrix[i][j], end = ' ')
  print('')
copy

How does this code work?

Task

You must calculate the sum of all elements within the matrix.

  1. Initialize counter = 0.
  2. Configure the outer for loop to iterate through the number of rows in the matrix.
  3. Configure the inner for loop to iterate through the number of elements in each row of the matrix.
  4. Accumulate the sum using the counter variable.
  5. Display the value stored in the counter.

Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
Section 3. Chapter 2
Switch to desktopSwitch to desktop for real-world practiceContinue from where you are using one of the options below
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