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

What you will learn

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

Description

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.


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Here’s what you can expect from this course:

  1. 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.
  2. 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.
  3. Real-World Applications: Data structures are not abstract conceptsβ€”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.
  4. 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!!

English
language

Content

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 Trees and BST