Interactive computer science laboratory
Don't just read the concept. Run it.
Watch algorithms make decisions, route traffic through real architectures, and trace objects as code executes.
01 / DATA STRUCTURES & ALGORITHMS
See every decision binary search makes.
Change the target, move through the execution timeline in either direction, or let it run. The active code line and array state never drift apart.
Open the full lesson01let low = 0, high = values.length - 1;02while (low <= high) {03 const mid = Math.floor((low + high) / 2);04 if (values[mid] === target) return mid;05 if (values[mid] < target) {06 low = mid + 1;07 } else {08 high = mid - 1;09 }10}11return -1;
02 / SYSTEM DESIGN
Break the system. Watch it recover.
Traffic is only useful when architecture responds to it. Kill a server and observe load redistribution, tail latency, and errors in the same model.
Study load balancing03 / LOW-LEVEL DESIGN
Patterns are behavior, not diagrams.
Swap a payment strategy, execute the flow, and inspect the collaborating objects and runtime call stack.
Explore the Strategy pattern- 1
Checkout.pay() - 2
PaymentContext.execute() - 3
strategy.pay() - 4
PaymentResult
CURRICULUM / THREE LEARNING TRACKS
Know what to learn next.
Choose a track and follow it in order. Each phase builds the vocabulary and judgment needed for the next one.
LEARNING TRACK / DSA
Data Structures & Algorithms
Progress from complexity analysis and core structures to graph algorithms, dynamic programming, and interview execution.
- Phases
- 9
- Full guides
- 71 / 71
- Completed
- 0
Full guide Completed
01Analysis & Foundations0/7
Build the vocabulary used to reason about every algorithm that follows.
02Linear Data Structures0/8
Learn how sequential containers organize data and constrain access.
03Problem-Solving Patterns0/10
Recognize reusable shapes before reaching for a specific algorithm.
04Trees, Tries & Heaps0/8
Navigate hierarchical data and maintain ordered access efficiently.
05Graphs0/10
Model relationships, explore connectivity, and optimize paths and networks.
06Recursion & Search0/6
Explore decision trees while controlling branching and undoing state.
07Dynamic Programming0/9
Turn overlapping recursive work into explicit, reusable state.
08Advanced Techniques0/7
Combine mathematical insight with specialized optimization strategies.
09Interview Mastery0/6
Practice selecting, explaining, implementing, and testing under constraints.