Reddit mentions: The best debugging books

We found 21 Reddit comments discussing the best debugging books. We ran sentiment analysis on each of these comments to determine how redditors feel about different products. We found 6 products and ranked them based on the amount of positive reactions they received. Here are the top 20.

1. Doing Bayesian Data Analysis: A Tutorial with R and BUGS

    Features:
  • CRC Press
Doing Bayesian Data Analysis: A Tutorial with R and BUGS
Specs:
Height9.3 Inches
Length7.6 Inches
Number of items1
Weight2.85057704766 Pounds
Width1.3 Inches
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2. Bug

Bug
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Height8.5 Inches
Length5.5 Inches
Number of items1
Release dateFebruary 2012
Weight1 Pounds
Width0.83 Inches
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3. Baja Bugs and Buggies: How to prepare VW-based cars for off-road fun and racing

Baja Bugs and Buggies: How to prepare VW-based cars for off-road fun and racing
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ColorMulticolor
Height10.82 Inches
Length8.54 Inches
Number of items1
Release dateJanuary 1987
Weight0.99428480162 Pounds
Width0.4 Inches
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6. Chip Mitchell : The Case of the Chocolate-Covered Bugs

CHILDREN COMPUTERS FUN
Chip Mitchell : The Case of the Chocolate-Covered Bugs
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Height20 Inches
Length20 Inches
Number of items1
Width20 Inches
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🎓 Reddit experts on debugging books

The comments and opinions expressed on this page are written exclusively by redditors. To provide you with the most relevant data, we sourced opinions from the most knowledgeable Reddit users based the total number of upvotes and downvotes received across comments on subreddits where debugging books are discussed. For your reference and for the sake of transparency, here are the specialists whose opinions mattered the most in our ranking.
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Top Reddit comments about Computer Programming Debugging:

u/CSMastermind · 4 pointsr/learnprogramming

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
u/[deleted] · 10 pointsr/statistics

Books:

"Doing Bayesian Data Analysis" by Kruschke. The instruction is really clear and there are code examples, and a lot of the mainstays of NHST are given a Bayesian analogue, so that should have some relevance to you.

"Bayesian Data Analysis" by Gelman. This one is more rigorous (notice the obvious lack of puppies on the cover) but also very good.

Free stuff:

"Think Bayes" by our own resident Bayesian apostle, Allen Downey. This book introduces Bayesian stats from a computational perspective, meaning it lays out problems and solves them by writing Python code. Very easy to follow, free, and just a great resource.

Lecture: "Bayesian Statistics Made (As) Simple (As Possible)" again by Prof. Downey. He's a great teacher.

u/xeroforce · 3 pointsr/MachineLearning

This is my first time reading this page and I am quite the amateur programmer.

I am an Assistant Professor in Criminal Justice; however, my passion is quantitative methodology and understanding big data.

I had a great opportunity to spend a summer learning Bayesian at ICPSR, but to be honest some of the concepts were hard to grasp. So, I have spent the greater part of the past year learning more about maximum likelihood estimations and Bayesian modeling.

I am currently reading The BUGS Book and [Doing Bayesian Analysis] (https://www.amazon.com/Doing-Bayesian-Data-Analysis-Tutorial/dp/0123814855/ref=sr_1_fkmr1_3?s=books&ie=UTF8&qid=1519347052&sr=1-3-fkmr1&keywords=bayesian+anaylsis+bugs).

I regularly teach linear modeling at both the undergraduate and graduate level. Lately, however, I have become interested in other techniques of prediction such as nearest neighbor analysis. About a month ago, I successfully created a model predicting plant specifications with the help of [Machine Learning with R] (https://www.amazon.com/Machine-Learning-techniques-predictive-modeling/dp/1784393908/ref=sr_1_2_sspa?s=books&ie=UTF8&qid=1519347125&sr=1-2-spons&keywords=machine+learning+in+R&psc=1). Of course, this is probably elementary for many of you here but I still found the process easy to understand and now I'm planning to learn about decision trees and Naive Bayes analysis.



u/BobBeaney · 2 pointsr/compsci

Well I'm gonna suggest a fictional novel even though it's not what you asked for. However The Bug is an excellent novel that shows the effect a hard-to-reproduce software bug has on the life of professional programmer who's trying to eradicate it. The book is pretty accurate, technically (although the story is fictional, as I mentioned) but may be a bit dated now ... This only adds to the protagonist's plight. It's not a book you're gonna learn some new shiny tech from, but it's an excellent and fun read.

u/medstudent22 · 1 pointr/askscience

Hey. We can't approve this type of question. You could take it over to /r/statistics maybe.

A couple books I've looked at are Applied Bayesian Statistics and Doing Bayesian Data Analysis. Both are written at a pretty low level. The former kind of falls apart after the first few chapters, but the latter is pretty well respected (my university library had both online for free). Both cover the basics upfront but in different levels of detail. Some of the notations and derivations may be uncomfortable for you in some books (not seeing that you have taken a formal probability course and the types of distributions and procedures you use in Bayes aren't covered in intro-stats... beta, inverse gamma, MLE derivation...) so I'd try to look more at example heavy references. Be sure to specify whether you are looking for books or online references when you re-ask your question.

u/Rhuarrk · 1 pointr/beetle

Came he to say the exact same. I did a lot of research back in the day and settled on a 64' but iirc the best options were around the 1960 - 1968 but I couldn't tell you the reasons. I spent a lot of time on the samba (as the rest) but I also pretty much memorized the book Baja Bugs and Buggies. https://www.amazon.com/Baja-Bugs-Buggies-VW-based-off-road/dp/0895861860

u/Qurtys_Lyn · 1 pointr/beetle

Get this book . Some of it is a bit outdated, but for simple Baja's, it's still the best.

Otherwise, check out the offroad forum on http://shoptalkforums.com . There's plenty of information there, and the people are all really helpful.

u/Deleetdk · 4 pointsr/statistics

Tfw I'm the most knowledgeable person about statistics I know and I have read 0 of these books. Time to get reading! Although I still want to go with Doing Bayesian Data Analysis: A Tutorial with R and BUGS over Gelman et al because I want to do all the work in R. The book itself has 51 reviews on Amazon, 44 of which are 5 stars, for a mean of 4.8. That seems very good.

Saved this thead for future reference. :)

u/Yserbius · 3 pointsr/programming

Learned BASIC from math textbooks, 3-2-1 Contact! magazines, which actually printed an editor chosen submission of a game every month which is awesome, and the Chip Mitchell book series, which was kind of like Encyclopedia Brown except that the case answers were sometimes code debugging puzzles. The funny thing was, I didn't actually start using QBasic until a few years later, but I remembered so much from these that I was able to write up code consisting of PRINT, INPUT and IF statements purely from memory.

u/sandrail · 2 pointsr/projectcar

I have a lot of experience in off-road, light weight vehicles. 500cc would be OK for a single seater - a Mini Buggy, not a rail http://i24.photobucket.com/albums/c14/theo44/Bandit/Picture0022.jpg

If you want to go "junkyard car" route, strip a VW Beetle (standard, NOT a super).
To see what can be done (street use) go here:
http://volksrods.com/forum/

If you are thinking car based off-road, you MUST read this before buying ANYTHING: http://www.amazon.com/Baja-Bugs-Buggies-VW-based-off-road/dp/0895861860/ref=sr_1_1?s=books&ie=UTF8&qid=1426456596&sr=1-1&keywords=baja+bugs+and+buggies

u/lurkishdelights · 3 pointsr/compsci

If you're looking for a story, here's a good classic non-fiction one:
The Soul of a New Machine by Tracy Kidder
And a fictional one:
The Bug by Ellen Ullman

u/coffeecoffeecoffeee · 4 pointsr/statistics

This is a really good book on Bayesian statistics, but Kruschke is coming out with a new edition in about two months with completely different code. It's going to use JAGS and STAN instead of BUGS.

u/webauteur · 2 pointsr/books

If you work in IT then The Bug by Ellen Ullman is the ultimate in depressing novels. Oh look, this new edition has a computer mouse skull on the cover. Cute! :(

u/peifferu · 1 pointr/cars

I wanted to build a baja bug with my dad for my first car, but they're just too damn slow to be a decent daily. He had this book that explained pretty much everything. It's probably cheaper than building a hot rod, since this will basically be a beater and all you have to do initially is adjust the ride height, cut down the fenders a bit, and get some off road tires. Then just go crazy from there.