2024 Data Structures Using Python

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

Are you ready to take your Python programming skills to the next level? Enhance your understanding of data structures and unleash the true potential of Python with our comprehensive course on mastering data structures.

In this hands-on course, you will dive deep into the world of data structures and learn how to effectively implement them using Python. Whether you’re a beginner looking to solidify your programming fundamentals or an experienced developer seeking to enhance your skills, this course is designed to cater to your needs.

What sets this course apart is its practical approach. You’ll not only gain a solid theoretical foundation but also apply your knowledge through numerous coding exercises and real-world examples. By the end of the course, you’ll have a firm grasp of various data structures, their functionalities, and efficient implementation techniques.

Here’s what you’ll learn:

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Explore foundational data structures such as arrays, linked lists, stacks, queues, and hash tables.
Master advanced data structures like trees, heaps, graphs, and their traversal algorithms.
Learn how to choose the right data structure for different scenarios.
Solve challenging coding problems using data structures and algorithms.
Gain practical experience through hands-on coding exercises and projects.
Discover best practices for designing efficient and scalable programs.

Whether you aspire to build robust software applications, excel in technical interviews, or enhance your problem-solving skills, this course will equip you with the essential tools and knowledge to succeed.

Join a vibrant community of learners, engage in discussions, and receive personalized support from our experienced instructors. Get ready to harness the power of data structures and revolutionize your Python programming journey.

Enroll now and embark on a transformative learning experience that will pave the way to becoming a confident and proficient Python programmer.

Let’s unlock the power of efficient programming 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

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