Learning pathdata-structuresalgorithms
DSA Interview Path
Practice the invariants that actually win interviews: caches, heaps, graphs, binary search, DP, and topo sort.
Path reward
Algorithm Hunter
Interview candidates who want signal instead of random problem grinding.
Demo progress: start the first mission to begin tracking.
Invariant scout
Name the loop/data-structure invariant first. Required clears: 2.
Complexity climber
Choose the right shape before coding. Required clears: 5.
Interview finisher
Explain edge cases and complexity cleanly. Required clears: 8.
Mission chain
Step 1
Warm up with first bad build search
Easy Algorithms arena: binary search over a monotonic predicate
Step 2
Warm up with constant-time min stack
Easy Data Structures arena: stack augmentation and invariant tracking
Step 3
Stabilize sliding window anomaly score
Medium Algorithms arena: two pointers, running sums, and window constraints
Step 4
Stabilize LRU cache core
Medium Data Structures arena: hash map plus doubly linked list invariants
Step 5
Harden Dijkstra latency route
Hard Algorithms arena: weighted graphs, priority queues, and stale heap entries
Step 6
Harden heap task scheduler
Hard Data Structures arena: priority queues, tie breakers, and stable scheduling
Step 7
Rescue dynamic programming budget planner
Extreme Algorithms arena: 0/1 knapsack, state compression, and reconstruction
Step 8
Master topological deploy order
Insane Algorithms arena: DAG ordering, cycle detection, and dependency resolution