I‘m Ava Pun, a computer science student at the University of Waterloo and creator of the Academy 118 webcomic! I was honoured to represent Canada at the International Olympiad in Informatics 2018, where I received a silver medal. When I‘m not drawing comics or doing programming contests, you can find me editing photos, mixing music, folding origami velociraptors, and combining science and art in weird and wonderful ways.
I was recently asked to review the book Algorithmic Thinking: A Problem-Based Introduction by Daniel Zingaro! Algorithmic Thinking is a clear and engaging text that teaches algorithms in a unique way—“problem-based” says it all. By presenting problems first and their algorithm/data structure solutions later, it shows us exactly why those solutions are useful and how they fit into the big picture.
What I love most about the book is that it mirrors the actual problem-solving process. Far too many textbooks present solutions fully-formed with no mention of the dead ends and too-complicated solutions you’d hit along the way. But Algorithmic Thinking takes you from the initial idea to the final breakthrough, setbacks and all. Problem solving is a raw, real journey, and this book captures its spirit perfectly. I highly recommend it.
More information about the book can be found here.