The ultimate guide to recursion interviews! Gain a structured approach to recursion basics and solve real-world problems. Get interview-ready in just a few hours with strategies developed by FAANG engineers.

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

## A Final Note
In this course, we learned how to convert iterative code to recursive code, and we reviewed many different problems using recursion.

Both recursive and iterative approaches can be used to solve a problem. 

> Recursive programs can be written iteratively and iterative programs can be written recursively. 

However, the key difference is to choose the right approach in interviews unless stated otherwise. Recursive programs have greater **space** complexity than iterative programs since all functions will remain in the **memory stack** until the **base case** is satisfied. 
However, recursion provides a clean and simple way to write code. It is easier to solve many problems recursively, including graph traversals, Pascal's Triangle, etc.

We have reached the end of this course. We have covered all the concepts to help you get started with performing recursion using Python.

## Feedback
Your feedback, comments, concerns, and questions are always welcome! Send us an email or leave a comment on the community forum. We are looking forward to hearing from you!

---
Always remember that practice makes perfect. Keep practicing the concepts we have learned throughout this course. Continue learning and have fun with it!

You can also learn recursion in other languages, such as C++ through our platform.

# A Final Note
In this course, we learned how to convert iterative code to recursive code, and we reviewed many different problems using recursion.

Both recursive and iterative approaches can be used to solve a problem. 

> Recursive programs can be written iteratively and iterative programs can be written recursively. 

However, the key difference is to choose the right approach in interviews unless stated otherwise. Recursive programs have greater **space** complexity than iterative programs since all functions will remain in the **memory stack** until the **base case** is satisfied. 
However, recursion provides a clean and simple way to write code. It is easier to solve many problems recursively, including graph traversals, Pascal's Triangle, etc.

We have reached the end of this course. We have covered all the concepts to help you get started with performing recursion using Python.

# Feedback
Your feedback, comments, concerns, and questions are always welcome! Send us an email or leave a comment on the community forum. We are looking forward to hearing from you!

---
Always remember that practice makes perfect. Keep practicing the concepts we have learned throughout this course. Continue learning and have fun with it!

You can also learn recursion in other languages, such as C++ through our platform.

Let's examine a quick overview of what we learned in the course. We hope you enjoyed learning about recursion in Python.

Recursion Fundamentals

Iteration Vs. Recursion

Recursion with Numbers

Recursion with Strings

Recursion with Arrays

Recursion with Data Structures

Conclusion

More on Recursion

A Final Note

Feedback