#dsa Development Tutorials & Tips | Roast Dev

Java Pattern Printing: A Developer's Guide

Pattern printing is a great way to improve logic-building skills in Java. It's widely used in coding interviews, competitive programming, and as a fundamental exercise to understand loops and conditio...

25.03.2025 0 Read More

Sorting Without Comparisons? Index Placement Sort (IPS): A Simple Yet Powerful Sorting Trick I Developed

Sorting algorithms are the backbone of efficient data processing. While traditional sorting methods rely on comparisons (like QuickSort or MergeSort), I recently stumbled upon a different approach—o...

29.03.2025 0 Read More

learning journey

This is my first post! 🚀 I’ve been continuously learning new tech and DSA but never really documented my journey. So, I thought—why not start now? 💡Updating my progress will not only keep me...

31.03.2025 0 Read More

My Amazon SDE (FTC) Interview Experience 2025

I recently (27-03-2025) had the opportunity to appear for the Amazon SDE interview, which consisted of a Two intense DSA rounds in one day. In these rounds, the interviewer tested me on a mix of probl...

01.04.2025 0 Read More

Part 1: Introduction to Data Structures and Algorithms (DSA) in Python

🚀 Why Learn DSA? Whether you're:⛶- Preparing for coding interviews 💼 - Building scalable applications 🛠 _ Or just aiming to write better Python code 🐍Mastering Data Structures...

01.04.2025 0 Read More

Part 2: Arrays, Lists, and Strings – Patterns, Tricks, and Pitfalls in Python

🚀 Introduction Arrays (or lists in Python) and strings are among the most common data structures you’ll use. They form the backbone of many algorithms and interview questions.In this pos...

01.04.2025 0 Read More

Part 3: Stacks and Queues – Core Concepts and Python Implementations

🚀 Introduction Stacks and queues are two of the most fundamental data structures in computer science.They are the backbone of: Expression evaluation (infix, postfix) Backtracking algorithm...

01.04.2025 0 Read More

🧮 Part 4: Hash Maps and Sets in Python – Lookups, Frequencies, and Fast Problem Solving

🚀 Introduction When it comes to efficient lookups, counting, grouping, and deduplication, nothing beats hash-based data structures like:⛶- dict (hash map) - set - defaultdict - Counte...

03.04.2025 0 Read More

Binary Search Demystified

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03.04.2025 0 Read More

Part 5: Recursion and Backtracking – Solving Complex Problems Elegantly in Python

🚀 Introduction Recursion and backtracking are two core techniques that unlock powerful problem-solving patterns — especially when dealing with trees, permutations, combinations, puzzles,...

04.04.2025 0 Read More

Java Pattern Printing: A Developer's Guide

Sorting Without Comparisons? Index Placement Sort (IPS): A Simple Yet Powerful Sorting Trick I Developed

learning journey

My Amazon SDE (FTC) Interview Experience 2025

Part 1: Introduction to Data Structures and Algorithms (DSA) in Python

Part 2: Arrays, Lists, and Strings – Patterns, Tricks, and Pitfalls in Python

Part 3: Stacks and Queues – Core Concepts and Python Implementations

🧮 Part 4: Hash Maps and Sets in Python – Lookups, Frequencies, and Fast Problem Solving

Binary Search Demystified

Part 5: Recursion and Backtracking – Solving Complex Problems Elegantly in Python

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