Discover data structures and algorithms using Python. Gain insights into solving real-world problems and typical interview questions with detailed reviews, explanations, and hands-on coding exercises.

Data structures and algorithms are among the most fundamental concepts of Computer Science. Whether it’s real-world problems you’re trying to solve or the typical coding question asked in an interview, almost every problem requires you to demonstrate a deep understanding of data structures and algorithms. 

This course is a detailed review of some of the most common data structures and algorithms that you’ll see in interviews and your everyday work. With implementation details, thorough explanations, and hands-on coding exercises, you’ll quickly gain the confidence you need to solve any problem, no matter the situation.

Data Structures and Algorithms in Python

Binary search is only applicable in case of sorted lists. 

Binary search is only applicable in case of sorted lists.

What is the worst-case time complexity of the recursive approach of a binary search? 

What is the worst-case time complexity of the recursive approach of a binary search?

What is the worst-case time complexity of the iterative approach of a binary search? 

What is the worst-case time complexity of the iterative approach of a binary search?

Binary search works by comparing the target element with the values on the first and the last index of a list.

Binary search works by comparing the target element with the values on the first and the last index of a list.

What is the output of the following code?

```python
def binary_search_recursive(data, target, low, high):
 if low > high:
 	return False
 else:
 mid = (low + high) // 2
 if target < data[mid]:
 	return binary_search_recursive(data, target, low, mid-1)
 else:
 	return binary_search_recursive(data, target, mid+1, high)
data = [2,4,5,7,8,9]
target = 2
print(binary_search_recursive(data, target, 0, 5))

```

What is the output of the following code?
<pre><code class="language-python">def binary_search_recursive(data, target, low, high):
 if low &gt; high:
 	return False
 else:
 mid = (low + high) // 2
 if target &lt; data[mid]:
 	return binary_search_recursive(data, target, low, mid-1)
 else:
 	return binary_search_recursive(data, target, mid+1, high)
data = [2,4,5,7,8,9]
target = 2
print(binary_search_recursive(data, target, 0, 5))

</code></pre>

It's quiz time! Test yourself by solving these questions about binary search. 

Introduction

Stack

Singly Linked Lists

Circular Linked Lists

Doubly Linked Lists

Arrays

Binary Trees

Binary Search Trees

Binary Search

Recursion

String Processing

Quiz