Found in 4 comments on Hacker News
W0lf · 2017-06-05 · Original thread
I've gathered all the book titles in this thread and created Amazon affiliate links (if you don't mind. Otherwise you still have all the titles together :-) )

A Pattern Language, Alexander and Ishikawa and Silverstein

Advanced Programming in the Unix Environment , Stevens

Algorithmics: the Spirit of Computing, Harel

Applied Crytography, Wiley

Clean Code, Martin

Clean Coder, Martin

Code Complete, McConnel

Code: The Hidden Language of Computer Hardware and Software, Petzold

Coders at Work, Seibel

Compilers: Principles, Techniques, & Tools, Aho

Computer Systems: A Programmer's Perspective, O'Hallaron and Bryant

Data Flow Analysis: Theory and Practice, Khedker

Dependency Injection in .NET, Seemann

Domain Driven Design, Evans

Fundamentals of Wireless Communication, Tse and Viswanath

Genetic Programming: An Intrduction, Banzhaf

Head First Design Patterns, O'Reilly

Implementing Domain-Driven Design, Vernon

Intrduction to Algorithms, CLRS

Introduction to General Systems Thinking, Weinberg

Joy of Clojure, Fogus and Houser

Let over Lambda, Hoyte

Operating Systems: Design and Implementation, Tanenbaum

Parsing Techniques, Grune and Jacobs

Peopleware: Productive Projects and Teams, DeMarco and Lister

Programming Pearls, Bentley

Software Process Design: Out of the Tar Pit, McGraw-Hill

Software Runaways, Glass

Sorting and Searching, Knuth

Structure and Interpretation of Computer Programs, Abelson and Sussman

The Art of Unit Testing, Manning

The Art of Unix Programming, ESR

The Design of Design: Essays from a Computer Scientist, Brooks

The Effective Engineer, Lau

The Elements of Style, Strunk and White

The Healthy Programmer, Kutner

The Linux Programming Interface, Kerrisk

The Mythical Man-Month, Brooks

The Practice of Programming, Kernighan and Pike

The Pragmatic Programmer, Hunt and Thomas

The Psychology of Computer Programming, Weinberg

Transaction Processing: Concepts and Techniques, Gray and Reuter

Types and Programming Languages, Pierce

Understanding MySQL Internals, Pachev

Working Effectively with Legacy Code, Feathers

Zen of graphics programming, Abrash

adem · 2014-04-05 · Original thread
I think this list is missing some important parts of computer science.

Here are the books that our university uses for first-year students combined with books that I found to be useful:

Introduction to Programming (using Eiffel) [1]

Mathematics for Computer Science (or: Discrete Mathematics) [2]

Introduction to Datastructures and Algorithms [3]

Introduction to Digital Design [4]

Parallel Programming (using Java) [5]

Optional but highly recommended, you'll probably find it completely out of scope:

Real Analysis I [6]

Real Analysis II [7]

Introduction to Linear Algebra [8]

Introduction to Physics [9]










shubb · 2013-07-06 · Original thread
I'm enjoying 'Data Structures and Algorithms using Python'[1]

Coming from a C++ background, I felt uncomfortable using python as more than a glue/scripting language, because the way resources are managed is treated very magically in most tutorials.

Say I want to use the OpenCV library to fling matrices and images around, it's hard to be confident of what the runtime is going to do with the data without having a really good handle on what mechanisms python has for dealing with data. Which is what this book is about.

As useful as they are for interviews, classic algorithms and data structures are probably not a big part of most peoples work, but understanding how they can be done in python helps you to make assumptions and use libraries in smart ways!

Most of all, it's fun and well written, for an algorithms book. It's more about python than algorithms, so if you were student wanting to learn algorithms, this book is better[2].

[1] [2]

ayers · 2012-01-11 · Original thread
"Introduction to Algorithms" by T Cormen ,C Leiserson, R Rivest and C Stein.

This book covers both basic and advance topics in a well written manner. Correct me if I am wrong but I believe this book is used in some MIT courses.

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