- Tries (Prefix Trees)
Discover the Trie, a specialised tree for string operations. Learn how Auto-Complete works and how to search a dictionary of words in O(L) time.
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- A* Search Algorithm
The crown jewel of pathfinding. Learn how A* combines Dijkstra's guaranteed accuracy with a Greedy Best-First Search heuristic to find the shortest path lightning-fast.
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- Bit Manipulation
Zoom down to the 1s and 0s. Master Bitwise AND, OR, XOR, and Shifts to solve problems with brutal efficiency and zero memory overhead.
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- Recursion Patterns — Base Cases & Unwinding
Demystify Recursion. Learn how functions call themselves, how the Call Stack unwinds, and the difference between Head Recursion and Tail Recursion.
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- Backtracking
Learn how to solve Sudoku, N-Queens, and combination puzzles using Backtracking. We cover the core template that solves almost all combinatorial search problems.
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- Greedy Algorithms
Why look at the big picture when you can just make the best immediate choice? Learn when Greedy Algorithms work, and more importantly, when they fail.
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- Dynamic Programming — Tabulation
Master Bottom-Up Dynamic Programming. Learn how to replace recursive Memoization with iterative Tabulation to eliminate StackOverflows and optimise memory.
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- Dynamic Programming — Memoization
Unlock the power of Top-Down Dynamic Programming. Learn how Memoization turns slow $O(2^n)$ recursive algorithms into lightning-fast $O(n)$ solutions.
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- Dijkstra's Shortest Path
Master Dijkstra's algorithm to find the absolute shortest path on weighted graphs. Learn how it combines BFS and a Priority Queue to work its magic.
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- Depth-First Search (DFS) & Applications
Master Depth-First Search for graphs. Learn how to implement DFS recursively and iteratively to detect cycles, find connected components, and solve mazes.
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- Graph Representation & BFS
Enter the world of Graphs. Learn how to represent graphs using Adjacency Lists and Matrices, and master Breadth-First Search (BFS) to find the shortest paths.
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- Heaps & Priority Queues
Master Heaps and Priority Queues. Discover how an array can represent a perfect binary tree, and how to get the maximum or minimum element in O(1) time.
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- Binary Search Trees (BST)
Learn how Binary Search Trees achieve O(log n) lookups by enforcing strict ordering rules. Includes Java implementation of insert, search, and delete operations.
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- Binary Trees — Traversals & Operations
Discover the anatomy of Binary Trees. Learn the four main traversal methods (In-order, Pre-order, Post-order, Level-order) with clear diagrams and Java code.
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- Linked Lists — Singly, Doubly & Circular
Everything you need to know about Linked Lists. Learn how nodes connect via pointers, difference between Singly and Doubly linked lists, and Java implementation.
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- Hash Tables & Hashing
Understand the magic behind O(1) lookups. We explain Hash Tables, Hash Functions, and collision resolution techniques with Java's HashMap.
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- Stacks & Queues — Core Operations
Learn the core concepts of Stacks (LIFO) and Queues (FIFO). Understand their operations, time complexities, and see them implemented in Java using Deque.
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- Sliding Window Technique
Master the Sliding Window technique to solve contiguous sub-array and sub-string problems efficiently. Covers fixed-size and dynamic window patterns with Java examples.
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- Two Pointer Technique
Learn the Two Pointer technique to solve array and string problems efficiently. Covers opposite-direction and same-direction patterns with Java examples.
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- Linear Search & Binary Search
Master the two fundamental search algorithms. From the brute-force scan of Linear Search to the elegant halving strategy of Binary Search, with Java code and traced examples.
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- Counting Sort, Radix Sort & Bucket Sort
Break the O(n log n) barrier with linear-time sorting algorithms. Learn how Counting Sort, Radix Sort, and Bucket Sort work with detailed examples and Java code.
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- Quick Sort — The Versatile Performer
Discover how Quick Sort partitions arrays around a pivot to achieve O(n log n) average performance in-place. Full Java code, traced example, and pivot strategy discussion.
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- Merge Sort — Divide and Conquer
Master Merge Sort with a visual divide-and-conquer walkthrough, complete Java implementation, and a deep dive into why it guarantees O(n log n) performance.
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- Selection Sort & Insertion Sort
Understand Selection Sort and Insertion Sort with intuitive analogies, traced examples, Java code, and a side-by-side comparison of when to use each.
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- Bubble Sort — The Simplest Sort
Learn how Bubble Sort works with a detailed step-by-step walkthrough, Java implementation, and Big-O analysis. The easiest sorting algorithm to understand for beginners.
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- Introduction to Algorithms & Big-O Notation
Learn what algorithms are, why they matter, and how Big-O notation helps us measure their efficiency. Includes easy-to-follow examples, Java code, and a complexity cheat sheet.
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- Algorithms & Data Structures — Complete Guide
A complete, beginner-friendly guide to algorithms and data structures. Learn sorting, searching, trees, graphs, dynamic programming, and more — with Java examples.
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- The New Date/Time API (Java 8)
Master the thread-safe and intuitive java.time API introduced in Java 8. Learn how to handle dates, times, and time zones correctly.
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- The Optional API (Java 8)
Stop chasing NullPointerExceptions. Learn how to use Java 8's Optional class to build safer, more resilient applications.
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- The Streams API (Java 8)
Learn how to process data declaratively with the Java 8 Streams API. Master filter, map, and collect to write cleaner loops.
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- Functional Interfaces & Default Methods (Java 8)
Deep dive into Java 8's interface enhancements. Learn about Default Methods, Functional Interfaces, and the foundational built-in functions like Predicate, Consumer, Supplier, and Function.
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- Lambda Expressions (Java 8)
Master Lambda Expressions in Java 8. Learn how to write concise, functional code and eliminate anonymous inner class boilerplate.
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- Java 8 Features
Revisit the revolutionary changes introduced in Java 8, the release that brought functional programming to Java with Lambdas, Streams, and the Optional API.
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- Predicate::not and More Enhancements (Java 11)
Explore the smaller but impactful features of Java 11, including Predicate.not(), simpler Collection to Array conversion, and single-file execution.
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- Local-Variable Syntax for Lambda Parameters (Java 11)
Understand how to use the 'var' keyword in lambda expressions in Java 11 and why it's useful for annotations.
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- String & Files API Enhancements (Java 11)
Discover the new utility methods in String and Files classes introduced in Java 11. Write cleaner code for common text and I/O tasks.
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- Standard HTTP Client API (Java 11)
Master the modern HTTP Client in Java 11. Learn how to perform synchronous and asynchronous requests with support for HTTP/2.
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- Java 11 Features
Explore the landmark features introduced in Java 11 LTS, including the new HTTP Client, Local-Variable Syntax for Lambda Parameters, and key String and File API enhancements.
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- Enhanced Pseudo-Random Number Generators (Java 17)
Explore Java 17's new random number generator interfaces and algorithms for better performance and flexibility.
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- Records (Java 17)
Eliminate boilerplate with Records in Java 17 - the perfect solution for immutable data carrier classes.
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- Text Blocks (Java 17)
Write cleaner multi-line strings in Java 17 with Text Blocks, perfect for JSON, SQL, HTML, and more.
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- Pattern Matching for instanceof (Java 17)
Simplify type checking and casting in Java 17 with Pattern Matching for instanceof, eliminating boilerplate code.
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- Sealed Classes (Java 17)
Master Sealed Classes in Java 17 to control inheritance hierarchies and build more maintainable, secure domain models.
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- Java 17 Features
Explore the powerful features introduced in Java 17 LTS, including Sealed Classes, Pattern Matching, Text Blocks, Records, and enhanced random number generators.
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- Primitive Types in Patterns (Java 25)
Java 25 extends pattern matching to primitive types like int and long, unifying the type system.
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- Module Import Declarations (Java 25)
Say goodbye to import clutter with Module Import Declarations in Java 25.
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- Flexible Constructor Bodies (Java 25)
Flexible Constructor Bodies in Java 25 allow statements before super(), giving you more control over object initialization.
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- Compact Source Files (Java 25)
Java 25 introduces Compact Source Files to reduce boilerplate and make the language more beginner-friendly.
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- Java 25 Features
A comprehensive overview of the new features in Java 25, including Compact Source Files, Flexible Constructors, and Primitive Patterns.
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- Unnamed Patterns & Variables (Java 21)
Discover how Unnamed Patterns (_) in Java 21 help you write cleaner code by ignoring unused variables.
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- Structured Concurrency (Java 21)
Explore Structured Concurrency in Java 21 for more robust, readable, and maintainable concurrent code.
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- Unnamed Classes & Instance Main Methods (Java 21)
Simplify your Java learning layout with Unnamed Classes and Instance Main Methods in Java 21.
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- Pattern Matching for switch (Java 21)
Pattern Matching for switch in Java 21 revolutionizes control flow with type testing and complex case logic.
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- Record Patterns (Java 21)
Learn how Record Patterns in Java 21 allow for powerful and concise data navigation and processing.
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- Sequenced Collections (Java 21)
Sequenced Collections introduced in Java 21
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- Virtual Threads (Java 21)
Virtual Threads NOTE: This is a preview feature NOT enabled by-default in JDK-21.
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- String Templates (Java 21)
String Templates introduced in Java 21
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- Java 21 Features
All new features introduced in Java 21
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- U$A ਕੈਫੇਟੇਰੀਆ
ਅਧੂਰੀ ਕਹਾਣੀ।
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- ਮੁੜਦੇ ਪਰਿੰਦੇ
ਇਕ ਕਹਾਣੀ ਕਦੇ ਨਾ ਪੂਰੀ ਹੋਣ ਵਾਲੀ ਉਮੀਦ ਦੀ।
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