How to Understand Algorithms
A practical way to understand algorithms, from searching and sorting to Big O notation, with tracing steps and free resources for spaced practice and review.
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10 articles in this category.
A practical way to understand algorithms, from searching and sorting to Big O notation, with tracing steps and free resources for spaced practice and review.
How to study computer science: pair coding practice with theory, use spaced recall, and explain concepts out loud to confirm understanding.
How to prepare for AP Computer Science A in Java, covering the exam format, free response practice, and hand tracing so you walk in ready.
Learn how to learn SQL with a step by step plan covering SELECT, filtering, joins, and aggregation. Includes practice cadence and common beginner mistakes.
Learn how to learn to code with a beginner roadmap from picking one language to building projects, plus the habits that keep new developers from quitting.
A practical, non-hype path to learn Python: write small programs daily, learn variables and loops, read errors calmly, and build real projects. Free tools only.
A practical, non-hype path to learn JavaScript: master variables and functions, change the page with the DOM, handle events, then touch async. Free resources only.
Learn HTML and CSS from page structure to flexbox and grid. Includes a build order, a spaced review plan, and common mistakes to avoid.
Learn data structures from arrays to trees with a plan built on implementation and tradeoffs. Includes study steps, a review schedule, and common mistakes.
A practical system to build coding study habits that stick, using short daily sessions, projects, and accountability instead of rare long cram sessions.