Java
JavaDSA in Java: Stacks & Queues Explained (Beginner Guide)
Learn stacks (LIFO) and queues (FIFO) in Java with clear analogies and code: push/pop, offer/poll, O(1) operations, and the balanced-brackets interview problem.
JavaDSA in Java: Linked Lists Explained (Beginner Guide)
Learn linked lists in Java from scratch: nodes and pointers, traversal, O(1) front insertion, arrays vs linked lists, and reversing a linked list.
JavaDSA in Java: Sorting Algorithms Explained (Beginner Guide)
Understand sorting in Java: bubble sort, merge sort, and quick sort with clear examples, plus why real code should just use Arrays.sort and Collections.sort.
JavaDSA in Java: Searching — Linear & Binary Search (Beginner Guide)
Learn linear and binary search in Java with clear code and a worked example. Understand why binary search is O(log n) and how to write it without off-by-one bugs.
JavaDSA in Java: Recursion & Backtracking Basics (Beginner Guide)
Understand recursion in Java the easy way: base case vs recursive case, factorial and Fibonacci traced step by step, and a first look at backtracking.
JavaDSA in Java: Strings & Common Patterns (Beginner Guide)
Master Java strings for DSA: immutability, essential methods, and the three go-to patterns — two pointers for palindromes, frequency counting, and StringBuilder.
JavaDSA in Java: Arrays & the Two-Pointer Pattern (Beginner Guide)
Master arrays in Java and the powerful two-pointer technique. Learn array time complexity, looping, pair-sum, and in-place reversal with clear beginner examples.
JavaTime and Space Complexity in Java: Big O Notation Explained
Learn Big O notation the easy way — how to measure time and space complexity of your Java code, with O(1), O(n), O(n squared), O(log n) explained by clear examples.
JavaDSA in Java: The Complete Data Structures & Algorithms Roadmap
A complete, beginner-friendly Data Structures & Algorithms roadmap in Java — every topic in the right order, from Big O to dynamic programming, to get you interview-ready.