Algorithms and Data Structures with Python

Practical Exercises for Chapter 11

The following exercises provide practical opportunities to delve into and enhance Python code for superior performance and efficiency. They cover a range of situations, including refining sorting algorithms, managing extensive datasets, and applying parallel processing techniques. These exercises are designed to mirror actual coding challenges you may encounter.

Exercise 1: Optimizing a Sorting Function

• Objective: Improve the performance of a Python sorting function.
• Task: Implement a custom sorting function and then optimize it using built-in Python functionalities.

Solution:

# Initial Custom Sorting Function

def custom_sort(arr):

for i in range(len(arr)):

for j in range(i + 1, len(arr)):

if arr[i] > arr