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Hey there 👋🏽 I’m Pooja - welcome to my community! 

My main mission is to EMPOWER people to gain access to cheap educational tools and insights when it comes to the software engineering industry. There’s a lot of information out there and it can be hard to understand what is BEST for you. 

Some great stuff we have in our community:

Technical sessions (every Friday) : Learning the fundamentals of coding - including data structures and algorithms, OOP principles, building apps etc. 

Help on homework questions: If you are stuck on any of your coding problem sets, we're here to help  💻 

Connect with others: It's always beneficial to learn with others and this is no exception! We pride ourselves on being able to connect with like-minded people for study sessions or even mentorship opportunities!

A little about me: I’ve been a software engineer for over 5 years! I currently work at Microsoft, as well as CUNA mutual and Target in the past. I graduated from the University of Wisconsin-Madison with a Bachelors degree in Computer Science .. although I like to add that I’ve learned much of what I know today from the experiences on the job, as well as through the internet 😉

Enjoy, and Cheers 🥂 

Pooja Dutt

discord

Pooja Dutt's Tech Community

Embark on a practical journey to mastering data structures with these comprehensive Discord recordings! We've included lessons such as Binary Search Trees, Recursion, Breadth First Search, Depth First Search, and much more! 

Now this isn't a fully inclusive list of EVERY data structure and algorithm, but it's a great start for people that are still struggling to learn. These lessons are in JAVA!

Key Features:
● Hands-on coding exercises: Gain practical experience by coding each data structure from scratch.
● Comprehensive code examples: Understand the implementation of each data structure with clear and well-explained code examples.

Who Should Enroll:
● Beginners seeking a practical introduction to data structures
● Programmers aiming to enhance their understanding of data structures concepts
● Experienced programmers looking to refine their data structures skills

we'll dive into the List data structure, focusing on the implementation of singly linked lists and doubly linked lists in Java. You can expect a comprehensive overview of list structures, their node connections, and practical examples demonstrating the insertion, deletion, and traversal operations. By the end of the video, you'll have a solid grasp of using linked lists to efficiently manage and manipulate data in your programs.

Linked Lists (Singly and Doubly Linked)

We'll explore the hierarchical structure where each node has at most two children, maintaining a sorted order for efficient search operations. Expect clear examples of insertion, deletion, and traversal algorithms, providing a concise understanding of how BSTs organize and optimize data storage and retrieval. By the end, you'll grasp the applications and significance of Binary Search Trees in computer science.

Binary Search Trees (BST)

We'll cover the basics of tree anatomy, discuss common types of trees, and demonstrate practical examples of tree manipulation and traversal in Java. By the end, you'll have a solid understanding of how to effectively use trees for organizing and optimizing data in your Java applications.

Binary Search Trees (Continued)

We'll explore its fundamental principles, showcasing how functions call themselves to solve complex problems. Expect clear examples and insights into how recursion simplifies programming tasks by breaking them down into smaller, more manageable steps. By the end, you'll have a concise understanding of recursion's versatility and its role in solving problems across various domains.

Recursion Explained

We'll explore this algorithmic technique for traversing graphs and trees, going depthward before backtracking. Expect practical examples illustrating how DFS efficiently explores and analyzes connected structures. By the end, you'll grasp the versatility of DFS in various applications, from graph traversal to solving maze problems.

Depth First Search (DFS)

Well explore Breadth-First Search (BFS) in this video, a fundamental algorithm for systematically traversing graphs or trees level by level. With clear examples, witness how BFS efficiently solves problems like finding the shortest path. By the end, you'll grasp the practical applications of BFS and its effectiveness in exploring interconnected structures.

Breadth First Search (BFS)

We'll explore how these data structures use key-value pairs to efficiently store and retrieve information. Expect clear examples illustrating the hash function's role in indexing and the resolution of collisions, providing insights into the power and versatility of Hash Maps in various programming scenarios.

Data Structures and Algorithms Video Lessons

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