Books › Grokking Algorithms: An illustrated guide for programmers and other curious people
Grokking Algorithms: An illustrated guide for programmers and other curious people
256 pages
A warm, heavily illustrated hand-hold through the intimidating world of computer science that makes complex concepts feel like common sense.
What it feels like
Reading this feels like sitting down with a patient, incredibly smart friend who loves drawing on napkins to explain how the world works. It completely strips away the academic dread usually associated with computer science, replacing dense mathematical proofs with quirky, hand-drawn illustrations and relatable analogies. The pace is brisk and encouraging, designed to give you quick 'aha!' moments rather than bogging you down in theory. It is a welcoming, lighthearted experience that transforms intimidating algorithms into practical, everyday tools. Perfect for self-taught programmers, visual learners, or anyone who has ever bounced off a traditional textbook, this guide delivers the joyful relief of finally understanding concepts that once felt entirely out of reach.
- Mood
- welcoming
- lighthearted
- illuminating
- unintimidating
- Tone
- friendly
- encouraging
- playful
- accessible
- conversational
- Pace
- brisk
- Themes
- demystifying complexity · visual learning · practical problem-solving · building foundational intuition
- The writing
- Conversational and entirely jargon-free, relying heavily on quirky, hand-drawn analogies to do the heavy lifting.
- The arc
- Moves from the apprehension of facing complex computer science concepts to the joyful relief of sudden, crystal-clear understanding.
- Who it's for
- Self-taught developers, bootcamp graduates, and curious beginners who find traditional computer science textbooks dry and intimidating.
About the book
"Grokking Algorithms is a fully illustrated, friendly guide that teaches you how to apply common algorithms to the practical problems you face every day as a programmer. You'll start with sorting and searching and, as you build up your skills in thinking algorithmically, you'll tackle more complex concerns such as data compression and artificial intelligence. Each carefully presented example includes helpful diagrams and fully annotated code samples in Python."--Publisher's desription.
Description from Open Library.
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