Learning Algorithms: A Programmer's Guide to Writing Better Code

Liking it so far, good supplemental material.

I felt the need to give this book a review when I saw someone below rating it so low on something not even based on the content of the book. (I have a digital copy)As a non-CS major who has been programming full time for about 2 years, this book is GREAT at what the title helps you to do: "learning algorithms".It's a good median between those boring CSLR textbooks and the, arguably overly simplistic "Grokking Algorithms".The examples are in python. I use Go, but python is an easy enough language to understand and implement the algorithms into your language of choice.**UPDATE**Now that the book has more reviews, I wanted to modify my review to reflect my TRUE feelings: 4 starts. Again, it's great. The downsides, imo, are some of the author's over-reliance on some pythonic trickery, which, again, is NOT a problem at all, but i always appreciate language-agnostic stuff... There are also some things that new learners should be aware of: that there isn't a true linked list implementation here. While I like the author's use of a hashmap and linked list combination, people without a solid CS background may get confused.Overall, still a great book, make sure to check if there are any language-specific details that you should be aware of when implementing in the language of your choice.

Excellent book that anybody interested in computer science and algorithms should read. The subject matter has been made readily accessible to anybody who wants to learn about algorithms.

O'reilly charging $50 for a black and white print.