Chod Matrix > Development > Programming Languages > 2023 Data Structures Using Python

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2023 Data Structures Using Python

Master Data Structures in Python: Unlock the Power of Efficient Programming!

Instructor:

Surendra Varma Pericherla

2,967 students enrolled

English [Auto]

Beginner programmers: Those who have a basic understanding of Python and programming concepts but want to enhance their knowledge of data structures.

Intermediate programmers: Individuals who are familiar with Python and have some experience with data structures but want to strengthen their understanding

Computer science students: Students studying computer science or related fields who need to learn about data structures as part of their curriculum.

Software developers: Professionals working in the software development industry who want to improve their understanding of data structures

Self-learners: Individuals with a strong interest in programming and data structures who are motivated to learn on their own

Master Data Structures in Python: Unlock the Power of Efficient Programming!

Welcome to the most comprehensive and highly rated data structures course on Udemy! If you’re a student searching for a data structures course that will truly elevate your programming skills, look no further. This course is designed to provide you with the knowledge and expertise you need to excel in the world of data structures and algorithmic problem-solving.

In this course, we leave no stone unturned as we delve deep into the core concepts and practical implementations of essential data structures. From arrays and linked lists to stacks, queues, trees, and graphs, you’ll gain a solid foundation in each data structure and learn how to leverage their unique properties for optimal efficiency.

What sets this course apart? It’s simple. Our focus is on practicality and real-world applications. We understand that theory alone isn’t enough to excel as a programmer. That’s why we provide numerous hands-on coding exercises and projects that will put your newfound knowledge to the test. By solving real-world coding challenges, you’ll sharpen your problem-solving skills and develop the confidence to tackle complex programming tasks.

Here’s what you can expect from this course:

Comprehensive Coverage: We leave no stone unturned as we explore a wide range of data structures, including arrays, linked lists, stacks, queues, trees, and graphs. You’ll learn the intricacies of each structure and gain a deep understanding of their strengths and weaknesses.
Hands-On Practice: Theory is important, but practice is crucial. Throughout the course, you’ll find an abundance of coding exercises and projects that will help solidify your understanding and hone your programming skills.
Real-World Applications: Data structures are not abstract concepts—they are tools that can solve real-world problems. We provide real-life examples and demonstrate how to apply each data structure to practical scenarios, ensuring that you can bridge the gap between theory and practice.
Expert Guidance: As an experienced instructor with a passion for teaching, I’ll guide you through every step of your learning journey. You can count on my support as you progress through the course, ensuring that you have a rich and rewarding learning experience.

By the end of this course, you’ll possess a deep understanding of data structures, algorithms, and their practical implementations. Armed with this knowledge, you’ll be well-equipped to tackle coding interviews, develop efficient software solutions, and excel in any programming challenge that comes your way.

Don’t miss out on the opportunity to become a Master of Data structures in Python. Enroll now, and let’s embark on this exciting journey together!

Happy Coding!!

BONUS SECTION : Quck Review on Python Basics

Variables

Conditionals & If statement

If statement example

If else statement

Example for If else statement

Elif Statement

Example for Elif Statement

Nested if statement

Example for Nested if statement

While loop

While loop to count the digits in a given number

While loop to display multiplication table

For loop

Displaying numbers using for loop

Break and Continue statement

Finding Sum of first 10 numbers

Finding Sum of digits in a given number

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

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-Lifo Queue 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 ?

Sum of Elements in a Binary Tree

Binary Search Trees

Definition of BST with Example

Search operation in BST

Inserting a node in BST

Creating a BST

Graphs

Basics of graphs

Adjacency Matrix Representation

Adjacency List Representation

Coding Assessments

Problem Statement on Arrays/Lists

Problem Statement on Linked Lists

Problem Statement on Stacks

Problem Statement on Binary Tree Using Queue

Problem Statement on Trees and BST

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!

4.9

4.9 out of 5

162 Ratings