The Algorithm Design Manual

Skiena is incredible!

I'll be upfront that I'm a pragmatist as a programmer. I some actual training in data science and machine learning, which is arcane enough on it's own, and a few years experience to call myself Good With Pandas, but the thing about being an autodidact solving a limited set of business problems in Python is that you miss the big picture. In a mature ecosystem like Python, a lot of the time the right answer is just "pip install magiclib. from magiclib import incantation. bar = incantation(foo)" Except sometimes magiclib doesn't exist yet. At the end of the day, computers are all Turing machines, they all solve the same sets of problems, but some approaches are algorithmically tractable, and some will leave you lost in show more the Swamp of Sadness.

Artax has been asked to solve a large NP complete problem

For someone who's never taken CS101, this book an eye-opener into the hows and whys of basic data structures like linked lists, trees, hash tables, and arrays, as well as sorting techniques and more advanced practices like dynamic programming. Clear explainers are interspersed with practical war stories, where Skiena explains how he applied the technique just discussed to solve a previously intractable problem.

Cracking the Coding interview is a series of dog tricks. The Algorithm Design Manual is actual knowledge. It's been a great guide to actually thinking like a professional, even if most of the day job is data plumbing. show less

A pretty good resource and one of the better books on the subject, in my opinion. However, many describe it as "introductory" algorithms, and I'm not sure I totally agree. Unless you already posses a solid foundation in related areas, a newbie will often find it hard to walk into this and immediately understand it. And maybe some will say that would be unrealistic, and I would be one of those. However, I actually have heard and seen others say exactly that, and again, I don't agree. Nonetheless, a pretty good book and solid resource. Recommended.

This book is showing its age -- although the algorithms are solid, I find it unlikely that the author would make it through a modern technical interview. Software engineering has evidently come a long way in 15 years.

read-q

http://www.cabochon.com/~stevey/blog-rants/ten-great-books.html
Entire book here: http://ranau.cs.ui.ac.id/book/AlgDesignManual/BOOK/BOOK/BOOK.HTM

Este libro se lee como una novela. Ábrelo y zambúllete en cualquiera de las "War stories". Si el pequeño schemer te enseña a pensar recursivo, este libro te enseña a formular tus problemas en términos de grafos.