This comprehensive course introduces Python data structures, starting with basic arrays and lists and progressing to advanced structures like linked lists, stacks, queues, trees, and graphs. Each lesson builds on the previous one, combining theory with practical Python implementations to demonstrate real-world applications and optimize software performance. Detailed tutorials guide you through data manipulation and problem-solving techniques, ensuring you can effectively use these structures in projects. By the end, you’ll be proficient in handling complex data structures and well-prepared for programming challenges and tech industry roles.
Who should take this Course?
The Data Structures in Python Online Course is ideal for Python programmers, software developers, and computer science students who want to build a strong foundation in essential data structures for efficient problem-solving and application development. It is also valuable for beginners and professionals looking to improve coding skills, optimize algorithms, and enhance their understanding of lists, stacks, queues, trees, and more in Python.
What you will learn
Define and manipulate various data structures in Python.
Implement arrays, lists, tuples, and dictionaries for efficient data handling.
Master complex data structures like linked lists, stacks, queues, and trees.
Develop proficiency in graph theory and binary search trees.
Utilize recursion for elegant and powerful code solutions.
Apply data structures to solve common programming challenges.
Course Outline
Arrays in Python
Definition
Creating and Displaying 1D Arrays
Accessing 1D Arrays
Searching in 1D Arrays
Insertion in 1D Arrays
Deletion in 1D Arrays
Updating in 1D Arrays
Accessing 2D Arrays
Insertion Operation in 2D Arrays
Deletion Operation in 2D Arrays
Update Operation in 2D Arrays
Lists, Tuples, Sets, and Dictionaries in Python
Accessing Elements & Searching Element in a List
Working with Operators on Lists
Indexing and Slicing in Lists
Working with List Methods
Append()
Clear()
count()
extend()
index()
insert()
pop()
remove()
reverse()
sort()
List Comprehension
Finding Maximum and Minimum Element in a List
Tuples
Tuple Indexing and Slicing
Manipulating Tuples
Unpacking Tuples
Basics of Dictionary
Accessing dictionary elements
Working with dictionary
Understanding Sets in Python
Recursion
Functions in Python
Example Program1 on Functions
Example Program2 on Functions
Example Program3 on Functions
Recursion
Linked Lists
Basics of Linked Lists
Inserting an Element in a Linked List
Searching an Element in a Linked List
Finding Middle Element in a Linked List
Checking Whether Two Given Linked Lists are Identical or Not
Finding Maximum Value in a Linked List
Deleting the Linked List
Stacks
Understanding Stacks
Implementing Stacks in Python
Implementing Stacks Using Lists with Built-in Methods in Python
Implementing Stacks Using Collections-dequeue in Python
Implementing Stacks Using Queue-LifoQueue in Python
Linked List Implementation of Stacks in Python
Stack Application: Balanced Parenthesis
Using Stacks for Checking Balanced Parenthesis
Queues
Understanding Queues
Implementing Queues Using Lists with Built-in Methods in Python
Implementing Queues Using Collections-dequeue in Python
Implementing Queues Using Queue Module in Python
Implementing Queues Using LinkedLists
Circular Queues
Trees
Tree Terminology
Defining Binary Tree and Complete Binary Tree
Representation of a Binary Tree
Binary Tree Traversals
How to Implement Inorder Traversal in Python?
How to Implement Pre-order Traversal in Python?
How to Implement Post-order Traversal in Python?
How to Implement Height of a Binary Tree in Python?
