Data Structures and Algorithms in Python

This Python algorithms and data structures course provides a platform where professionals can implement and learn data structure concepts in Python.

Intermediate

88 Lessons

19h

Certificate of Completion

This Python algorithms and data structures course provides a platform where professionals can implement and learn data structure concepts in Python.

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Explanations

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Explanations

This course includes

91 Playgrounds
14 Challenges
8 Quizzes

This course includes

91 Playgrounds
14 Challenges
8 Quizzes

Course Overview

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 ha...Show More

TAKEAWAY SKILLS

Python

Programming Language

Data Structures

Algorithms

Course Content

1

Introduction

In this chapter, you will learn how to develop problem-solving skills using important data structures and algorithms in Python, aimed at interview preparation.
2

Stack

This chapter covers stack data structures, focusing on applications like checking balanced brackets, reversing strings, and converting decimals to binary.
3

Singly Linked Lists

In this chapter, you will discover how to solve problems using singly linked lists, including efficient insertion, deletion, and traversal techniques.
4

Circular Linked Lists

This chapter teaches how to solve insertion, removal, and splitting problems using circular linked lists, their practical applications and detection techniques.
5

Doubly Linked Lists

This chapter shows how to use doubly linked lists, its operations like insertion, deletion, reversal, and finding pairs with specified sums.
6

Arrays

7 Lessons

This chapter presents techniques for solving various array-related problems, emphasizing efficient algorithms and implementation strategies in Python.
7

Binary Trees

8 Lessons

This chapter covers how to use binary trees through definitions, traversal methods, height calculation, and size determination, with Python implementations.
8

Binary Search Trees

4 Lessons

This chapter shows how to solve problems using binary search trees, including insertion, searching, and verification of the BST property in Python.
9

Binary Search

11 Lessons

This chapter explores efficient binary search techniques for various applications, optimizing search processes within sorted and shifted arrays.
10

Recursion

6 Lessons

This chapter teaches you how to generate solutions using various recursion techniques in Python, covering string manipulation and recursive multiplication.
11

String Processing

11 Lessons

This chapter teaches you various string processing techniques in Python, focusing on sequences, encodings, palindromes, permutations, and character uniqueness.

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