The ultimate recursion guide! Master basics, solve real-world problems, and get interview-ready in hours with FAANG engineers’ proven strategies.

If you’ve ever struggled with solving coding problems using recursion, or if you need to brush up your recursion skills for an interview, this course is for you! We will start with the basics of recursion before we practice solving actual coding problems. You’ll have access to detailed explanations and visualizations for each problem to help you along the way.

By the time you have completed this course, you’ll be able to use all the concepts of recursion to solve complex, real-world problems. We hope that this course will help you ace all the recursion related questions during interviews at top tech companies!

Recursion for Coding Interviews in Python

# Problem Statement
Implement a function that takes a number `testVariable` and returns the row of the **Pascal's triangle** corresponding with that number.

## What is Pascal's Triangle?



Pascal's Triangle is a **triangular array** of the **binomial** coefficients. 

To build Pascal's Triangle we start with `1` at the top, then continue placing numbers below it in a triangular pattern. Each number is the sum of the 
**two** numbers directly above it.

The entry in the 
$nth$ row and $kth$ column of Pascal's triangle is denoted as: 
$$\tbinom {n}{k}$$

For example, the unique nonzero entry in the topmost row is 
$${{\tbinom {0}{0}}=1}$$

With this notation, any element can be written as follows:
$${{n \choose k}={n-1 \choose k-1}+{n-1 \choose k}} 

Given a specific row number return a list containing the elements of that row of the Pascal's Triangle.

Recursion Fundamentals

Iteration Vs. Recursion

Recursion with Numbers

Recursion with Strings

Recursion with Arrays

Recursion with Data Structures

Conclusion

Challenge 2: Pascal's Triangle

Problem Statement

What is Pascal’s Triangle?