Algorithmic patterns explained: why patterns work, how patterns combine, and how to practice recognition without memorizing solutions.

CPU vs GPU vs TPU: learn how processing architectures differ, when to use each, and how latency, throughput, and data movement shape performance.

Data structures guide: arrays, hash maps, sets, stacks, queues, trees, graphs. Types, properties, when to use in Python, JavaScript, Java, C++, Go, Rust.

Master data structure fundamentals: arrays, hash maps, trees, and graphs. Learn how structure choices shape algorithm performance, reliability, and developer sanity.

Learn color and contrast fundamentals for readable, accessible interfaces. Understand color theory, contrast ratios, and WCAG standards.

Master algorithm fundamentals: data structures, Big O notation, and runtime complexity. Learn how algorithmic thinking helps build fast, reliable software and prevent production incidents.

Software security fundamentals: threats, vulnerabilities, and defenses. Build systems that protect data and users from attacks.

Performance testing fundamentals: load testing, stress testing, and metrics. Build systems that handle real traffic and find bottlenecks before users.

Master web accessibility fundamentals: semantic HTML, keyboard navigation, ARIA, and WCAG testing. Build inclusive interfaces that work for all users.

Understanding why software testing matters and how to build confidence in your code. Learn the core principles that separate effective testing from test coverage theater.