Practice & Tracker
Accelerate your competitive foundations. Complete visual playgrounds, solve code problems, and build portfolio projects.
Competency Checklist
Articles Read
Playgrounds Completed
Problems Solved
Portfolio Projects Built
Learning Roadmap Tracks
Progress through structured paths to master concepts, algorithms, and FAANG interviews.
Track 1: Foundations & Linear Structures
Establish big-O scaling metrics and master contiguous sequences, lists, stacks, and queues.
Complexity Analysis
Master Big O, Big Theta, and Big Omega asymptotic scales.
Arrays & Contiguous Memory
Master linear sequences, slicing boundaries, and sliding segment limits.
String Hashing
Perform fast character array scans and hashing lookups.
Linked Lists
Build dynamic lists, pointer redirections, and cycle checks.
Stack Operations
Master Last-In-First-Out call frames and balanced boundaries.
Queue Scheduling
Explore Circular arrays, FIFO schedulers, and monotonic queues.
Hash Tables
Resolve key collisions and optimize key lookups in O(1) time.
Advanced Arrays
Difference Arrays, Cyclic Sort, and multi-dimensional coordinate maps.
Stack & Monotonic Stack
Advanced index scans, histograms, and expressions evaluation parsers.
Queue & Monotonic Queue
Double-ended queues and running range calculations.
Track 2: Hierarchical structures & Search Optimization
Explore recursive trees, search space partitioning, graphs routing, and greedy scheduling choices.
Binary Search
Divide sorted search bounds logarithmically on each step.
Binary & Search Trees
Traverse node structures and validate tree boundaries.
Priority Heaps
Optimize dynamic stream min/max extractions.
Graphs traversals & Routing
Scan node matrices and relax path edge weights.
Prefix Tries
Retrieve strings using prefix characters chains.
Backtracking Search Space
Search recursive decision trees and prune invalid paths.
Greedy Optimizations
Process locally optimal intervals to minimize costs.
Binary Search Patterns
Bisect boundary thresholds and monotonic searches on answers.
Heap & Priority Queue
Dynamic streaming medians and multi-list merges.
Greedy Patterns
Activity selections and job scheduling optimizations.
Track 3: Advanced Optimization & Bit Masking
Dive into tabular Dynamic Programming, register bit operations, and range query Segment trees.
Dynamic Programming
Resolve duplicate calculations using memoized matrices.
Bitwise Register Operations
Perform bitwise operations directly on registers.
Advanced DSA
Segment Trees, Fenwick Trees, Sparse Tables, and Sweep Line coordinate intersections.
Trie Patterns
Word search matrices and dictionary optimization lookups.
Bit Manipulation Patterns
Bitmask states representations and power sets generations.
Interview Preparation
Mock simulators, company tracks, and behavioral defense questions.