Course Content
Data Science Interview Challenge
Data Science Interview Challenge
Challenge 4: Nested Loops
Nested loops in Python are a cornerstone for advanced iteration over data sets. Their importance lies in:
- Multi-dimensional Data Handling: They allow for iterating over complex data structures like matrices or multi-dimensional lists, enabling deep data traversal.
- Combination and Permutation: Nested loops are the go-to solution when you need to evaluate all possible combinations or permutations of multiple lists.
- Granular Control: They offer fine-tuned control over iteration, allowing programmers to dictate the exact flow and conditions of looping.
Using nested loops, developers can harness the power of iteration to its fullest potential.
Task
The goal is to generate a matrix
(a list of lists) where the outer list contains n
lists and each inner list contains m
integers. These integers should be in ascending order starting from 1
.
![Nested Loops](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/8f74b411-aed3-4916-8a1a-b25629653d8e/2-4/image_1.png)
- Set up
for
loop. - Set up
while
loop. - Append inner row.
- Increase
counter
. - Increase row index.
- Append
matrix
.
Task
The goal is to generate a matrix
(a list of lists) where the outer list contains n
lists and each inner list contains m
integers. These integers should be in ascending order starting from 1
.
![Nested Loops](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/8f74b411-aed3-4916-8a1a-b25629653d8e/2-4/image_1.png)
- Set up
for
loop. - Set up
while
loop. - Append inner row.
- Increase
counter
. - Increase row index.
- Append
matrix
.
Everything was clear?
Challenge 4: Nested Loops
Nested loops in Python are a cornerstone for advanced iteration over data sets. Their importance lies in:
- Multi-dimensional Data Handling: They allow for iterating over complex data structures like matrices or multi-dimensional lists, enabling deep data traversal.
- Combination and Permutation: Nested loops are the go-to solution when you need to evaluate all possible combinations or permutations of multiple lists.
- Granular Control: They offer fine-tuned control over iteration, allowing programmers to dictate the exact flow and conditions of looping.
Using nested loops, developers can harness the power of iteration to its fullest potential.
Task
The goal is to generate a matrix
(a list of lists) where the outer list contains n
lists and each inner list contains m
integers. These integers should be in ascending order starting from 1
.
![Nested Loops](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/8f74b411-aed3-4916-8a1a-b25629653d8e/2-4/image_1.png)
- Set up
for
loop. - Set up
while
loop. - Append inner row.
- Increase
counter
. - Increase row index.
- Append
matrix
.
Task
The goal is to generate a matrix
(a list of lists) where the outer list contains n
lists and each inner list contains m
integers. These integers should be in ascending order starting from 1
.
![Nested Loops](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/8f74b411-aed3-4916-8a1a-b25629653d8e/2-4/image_1.png)
- Set up
for
loop. - Set up
while
loop. - Append inner row.
- Increase
counter
. - Increase row index.
- Append
matrix
.
Everything was clear?
Challenge 4: Nested Loops
Nested loops in Python are a cornerstone for advanced iteration over data sets. Their importance lies in:
- Multi-dimensional Data Handling: They allow for iterating over complex data structures like matrices or multi-dimensional lists, enabling deep data traversal.
- Combination and Permutation: Nested loops are the go-to solution when you need to evaluate all possible combinations or permutations of multiple lists.
- Granular Control: They offer fine-tuned control over iteration, allowing programmers to dictate the exact flow and conditions of looping.
Using nested loops, developers can harness the power of iteration to its fullest potential.
Task
The goal is to generate a matrix
(a list of lists) where the outer list contains n
lists and each inner list contains m
integers. These integers should be in ascending order starting from 1
.
![Nested Loops](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/8f74b411-aed3-4916-8a1a-b25629653d8e/2-4/image_1.png)
- Set up
for
loop. - Set up
while
loop. - Append inner row.
- Increase
counter
. - Increase row index.
- Append
matrix
.
Task
The goal is to generate a matrix
(a list of lists) where the outer list contains n
lists and each inner list contains m
integers. These integers should be in ascending order starting from 1
.
![Nested Loops](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/8f74b411-aed3-4916-8a1a-b25629653d8e/2-4/image_1.png)
- Set up
for
loop. - Set up
while
loop. - Append inner row.
- Increase
counter
. - Increase row index.
- Append
matrix
.
Everything was clear?
Nested loops in Python are a cornerstone for advanced iteration over data sets. Their importance lies in:
- Multi-dimensional Data Handling: They allow for iterating over complex data structures like matrices or multi-dimensional lists, enabling deep data traversal.
- Combination and Permutation: Nested loops are the go-to solution when you need to evaluate all possible combinations or permutations of multiple lists.
- Granular Control: They offer fine-tuned control over iteration, allowing programmers to dictate the exact flow and conditions of looping.
Using nested loops, developers can harness the power of iteration to its fullest potential.
Task
The goal is to generate a matrix
(a list of lists) where the outer list contains n
lists and each inner list contains m
integers. These integers should be in ascending order starting from 1
.
![Nested Loops](https://codefinity-content-media.s3.eu-west-1.amazonaws.com/8f74b411-aed3-4916-8a1a-b25629653d8e/2-4/image_1.png)
- Set up
for
loop. - Set up
while
loop. - Append inner row.
- Increase
counter
. - Increase row index.
- Append
matrix
.