Here's a whole book devoted to the topic of never branching.

Also relevant: Hackers Delight, (Amazon link)

This reads pretty much exactly like Hacker's Delight except that the book focuses on the assembly behind this instead of the C code in front.

I've posted this before but I'll repost it here:

Now in terms of the question that you ask in the title - this is what I recommend:

Job Interview Prep

1. Cracking the Coding Interview: 189 Programming Questions and Solutions
   
2. Programming Interviews Exposed: Coding Your Way Through the Interview
   
3. Introduction to Algorithms
   
4. The Algorithm Design Manual
   
5. Effective Java
   
6. Concurrent Programming in Java™: Design Principles and Pattern
   
7. Modern Operating Systems
   
8. Programming Pearls
   
9. Discrete Mathematics for Computer Scientists
   
   

   Junior Software Engineer Reading List
   

   
   

   Read This First
   

   
   

10. Pragmatic Thinking and Learning: Refactor Your Wetware
    
    

    Fundementals
    

    
    

11. Code Complete: A Practical Handbook of Software Construction
    
12. Software Estimation: Demystifying the Black Art
    
13. Software Engineering: A Practitioner's Approach
    
14. Refactoring: Improving the Design of Existing Code
    
15. Coder to Developer: Tools and Strategies for Delivering Your Software
    
16. Perfect Software: And Other Illusions about Testing
    
17. Getting Real: The Smarter, Faster, Easier Way to Build a Successful Web Application
    
    

    Understanding Professional Software Environments
    

    
    

18. Agile Software Development: The Cooperative Game
    
19. Software Project Survival Guide
    
20. The Best Software Writing I: Selected and Introduced by Joel Spolsky
    
21. Debugging the Development Process: Practical Strategies for Staying Focused, Hitting Ship Dates, and Building Solid Teams
    
22. Rapid Development: Taming Wild Software Schedules
    
23. Peopleware: Productive Projects and Teams
    
    

    Mentality
    

    
    

24. Slack: Getting Past Burnout, Busywork, and the Myth of Total Efficiency
    
25. Against Method
    
26. The Passionate Programmer: Creating a Remarkable Career in Software Development
    
    

    History
    

    
    

27. The Mythical Man-Month: Essays on Software Engineering
    
28. Computing Calamities: Lessons Learned from Products, Projects, and Companies That Failed
    
29. The Deadline: A Novel About Project Management
    
    

    Mid Level Software Engineer Reading List
    

    
    

    Read This First
    

    
    

30. Personal Development for Smart People: The Conscious Pursuit of Personal Growth
    
    

    Fundementals
    

    
    

31. The Clean Coder: A Code of Conduct for Professional Programmers
    
32. Clean Code: A Handbook of Agile Software Craftsmanship
    
33. Solid Code
    
34. Code Craft: The Practice of Writing Excellent Code
    
35. Software Craftsmanship: The New Imperative
    
36. Writing Solid Code
    
    

    Software Design
    

    
    

37. Head First Design Patterns: A Brain-Friendly Guide
    
38. Design Patterns: Elements of Reusable Object-Oriented Software
    
39. Domain-Driven Design: Tackling Complexity in the Heart of Software
    
40. Domain-Driven Design Distilled
    
41. Design Patterns Explained: A New Perspective on Object-Oriented Design
    
42. Design Patterns in C# - Even though this is specific to C# the pattern can be used in any OO language.
    
43. Refactoring to Patterns
    
    

    Software Engineering Skill Sets
    

    
    

44. Building Microservices: Designing Fine-Grained Systems
    
45. Software Factories: Assembling Applications with Patterns, Models, Frameworks, and Tools
    
46. NoEstimates: How To Measure Project Progress Without Estimating
    
47. Object-Oriented Software Construction
    
48. The Art of Software Testing
    
49. Release It!: Design and Deploy Production-Ready Software
    
50. Working Effectively with Legacy Code
    
51. Test Driven Development: By Example
    
    

    Databases
    

    
    

52. Database System Concepts
    
53. Database Management Systems
    
54. Foundation for Object / Relational Databases: The Third Manifesto
    
55. Refactoring Databases: Evolutionary Database Design
    
56. Data Access Patterns: Database Interactions in Object-Oriented Applications
    
    

    User Experience
    

    
    

57. Don't Make Me Think: A Common Sense Approach to Web Usability
    
58. The Design of Everyday Things
    
59. Programming Collective Intelligence: Building Smart Web 2.0 Applications
    
60. User Interface Design for Programmers
    
61. GUI Bloopers 2.0: Common User Interface Design Don'ts and Dos
    
    

    Mentality
    

    
    

62. The Productive Programmer
    
63. Extreme Programming Explained: Embrace Change
    
64. Coders at Work: Reflections on the Craft of Programming
    
65. Facts and Fallacies of Software Engineering
    
    

    History
    

    
    

66. Dreaming in Code: Two Dozen Programmers, Three Years, 4,732 Bugs, and One Quest for Transcendent Software
    
67. New Turning Omnibus: 66 Excursions in Computer Science
    
68. Hacker's Delight
    
69. The Alchemist
    
70. Masterminds of Programming: Conversations with the Creators of Major Programming Languages
    
71. The Information: A History, A Theory, A Flood
    
    

    Specialist Skills
    

    
    In spite of the fact that many of these won't apply to your specific job I still recommend reading them for the insight, they'll give you into programming language and technology design.
    
    

72. Peter Norton's Assembly Language Book for the IBM PC
    
73. Expert C Programming: Deep C Secrets
    
74. Enough Rope to Shoot Yourself in the Foot: Rules for C and C++ Programming
    
75. The C++ Programming Language
    
76. Effective C++: 55 Specific Ways to Improve Your Programs and Designs
    
77. More Effective C++: 35 New Ways to Improve Your Programs and Designs
    
78. More Effective C#: 50 Specific Ways to Improve Your C#
    
79. CLR via C#
    
80. Mr. Bunny's Big Cup o' Java
    
81. Thinking in Java
    
82. JUnit in Action
    
83. Functional Programming in Scala
    
84. The Art of Prolog: Advanced Programming Techniques
    
85. The Craft of Prolog
    
86. Programming Perl: Unmatched Power for Text Processing and Scripting
    
87. Dive into Python 3
    
88. why's (poignant) guide to Ruby

The goto theory book by Sipser.
Excellent for C programming.
Programming in general.
My favourite.
You can probably find all of these at a library.

Might be biased, but I'm a big fan of Jeff Erickson's Algorithm Notes, which I think are better than a lot of textbooks.

If you really want a book, CLR Algorithms and The Art of Computer Programming both get recommended a lot, with good reason.

If you're interested in computational theory, the New Turing Omnibus and Spiser's Theory of Computation are two good choices.

Finally, I'd check out Hacker's Delight. It's a lot more on the electrical/computer engineering side of things, which might interest you, and it's very detailed while still being quite excellent.

you want hacker's delight

The other major website on this subject is the Aggregate Magic Algorithms.

You can also find some interesting hacks at the Chess Programming site bitboards.

The magnificent book Hacker's Delight is the Knuth of bits. It's actually better than Knuth on this subject! (At the end of 50 pages of bitwise stuff in Volume 4, DEK basically says "read Hacker's Delight for the real deal.")

Hacker's Delight

http://www.amazon.com/gp/product/0201914654/sr=8-1/qid=1144182215/ref=pd_bbs_1/002-3707800-4554451?%5Fencoding=UTF8

is another great resource

"More focused" is the key point for me. I have a different opinion what that means, that's all.

See here for the following quote:
> The following subjects would be off-limits: Technology, devices, software, operating systems;

For me, operating systems are relevant to coding: they define the framework that I must navigate in order to get my code to do what it is supposed to. But I can find my OS-related programming content elsewhere, I don't need to have it present in /r/coding. But I would rather exclude too much than allow too much in - noise is distracting, and simplicity stimulates focus. If people really miss something, it will find its way in.

Regardless, I can recognize a losing battle - the idea of code reviews seems to have many supporters and few opponents, so it will happen anyway if someone wants to risk and endure not-so-constructive criticism, puns and potential fame on TheDailyWTF.

I think the whole idea will be short-lived. The comment threads will provide some helpful remarks (e.g. read Code Complete, Beautiful Books, or other books, learn about various algorithms and their computational complexity to figure out better approaches, etc.). The comments will become redundant after a while, and then people will realize that they are doing somebody's homework, and that learning good style is largely a self-study, and can't be passed on in a couple of sentences. And we'll have a new rule for "no newbie code reviews here".

But I've been proven wrong by Reddit many times before, so I won't bet on my version of events. So, who's gonna be the first one to submit code for a review?

If you like this kind of stuff, I highly recommend "Hacker's Delight". It's a fantastic book that goes orders of magnitude beyond anything discussed here.

http://www.amazon.com/Hackers-Delight-Henry-S-Warren/dp/0201914654/