Learn how to implement popular data structures and algorithms in our next Python project with hands-on examples.

Python for Programmers

Data structures and algorithms are among the most fundamental concepts of computer science. This module is a detailed review of some of the most common data structures and algorithms, such as stack, linked lists, doubly linked lists, binary trees, binary search trees, and so on. With implementation details, thorough explanations, and hands-on coding exercises, we’ll gain the confidence to solve any problem related to our project.

Data Structures and Algorithms in Python

## Problem
You are required to write a function that determines the index of the smallest element
of the cyclically shifted array.

An array is **"cyclically shifted"** if it is possible to shift its entries cyclically so that it becomes sorted.

The following list is an example of a cyclically shifted array:
```
    A = [4, 5, 6, 7, 1, 2, 3]
````

Below are all the possible cyclic shifts of an array:

# Problem
You are required to write a function that determines the index of the smallest element
of the cyclically shifted array.

An array is **"cyclically shifted"** if it is possible to shift its entries cyclically so that it becomes sorted.

The following list is an example of a cyclically shifted array:
```
    A = [4, 5, 6, 7, 1, 2, 3]
````

Below are all the possible cyclic shifts of an array:

Challenge yourself with an exercise in which you'll have to return the index of the smallest number in a cyclically shifted array. 

Built-in Data Structures

Stack

Singly Linked Lists

Circular Linked Lists

Doubly Linked Lists

Arrays

Binary Trees

Binary Search Trees

Binary Search

Recursion

String Processing

Conclusion

Exercise: Cyclically Shifted Array

Problem