Learning Paths

The site is organized as a reference, but the following sequences turn it into a course. Complete the exercises on each page before moving forward.

Algorithms and data structures

1. Asymptotic analysis
2. Correctness and invariants
3. Arrays and linked lists
4. Searching
5. Sorting
6. Trees and heaps
7. Graph representations
8. Graph algorithms
9. Algorithm design paradigms

Java application development

1. Object-oriented programming
2. Design principles
3. Design patterns
4. Collections and generics
5. Equality, hashing, and immutability
6. Exceptions
7. Streams
8. Concurrency and parallelism
9. Testing and benchmarking
10. Practical engineering techniques
11. Spring Boot

Backend and systems

1. HTTP and REST
2. Relational databases
3. Transactions and isolation
4. Persistence and transactions
5. Security fundamentals
6. Patterns in Spring
7. Observability and resilience
8. Distributed systems
9. Practical engineering techniques

Modern C++

1. Overview and toolchain
2. Types, values, and references
3. Functions and classes
4. RAII and resource management
5. Pointers, lifetimes, and ownership
6. Copy and move semantics
7. Object-oriented programming
8. Templates and concepts
9. Standard library
10. Error handling
11. Concurrency
12. Testing and build tools
13. C++ and Java compared

These paths are cumulative, not exclusive. Use the glossary whenever a term is unfamiliar and consult the bibliography for deeper treatment.