JavaScript:
Essential JavaScript - Solid introduction to JavaScript and common programming principles
Secrets of the JavaScript Ninja, 2nd Edition - Function context, closures, ES6, oh my!
Learning JavaScript Design Patterns - Because fundamentals are good, and you should work on them.
Swift:
The Swift Programming Language (ie: the docs!) - It's literally the docs. That's how conversational the documentation for Swift is; they took it and put it in a book and it actually reads like one. 10/10 pretty much my only resource for learning Swift.
Python:
Learn Python The Hard Way - It's. Uh. Amazing.
Learning Django Web Development - Django documentation is great tbh, but it can be a little overwhelming given how deep every section goes. This book is a solid way to gain clarity on some of the verbose sections in the documentation.
Written in order of recommendation per topic. Eloquent JS is a great lead-in into SotJS (which has become my favorite JS book), and once you've got a firm grasp on those core concepts understanding the various implementations of modules and stuff is covered pretty well in Learning JavaScript Design Patterns. Swift docs genuinely are as awesome as I hype them up to be.
Python, if Learn Python the Hard Way is too much, 'Automate the Boring Stuff w/ Python' is more interactive.
"Learn Python the Hard Way" teaches you all the wrong lessons in the wrong way. I learned using those books, and unfortunately had to relearn most of the lessons taught to me from that and "Learn C The Hard Way". Try "Dive Into Python".
I second that. Learn Python The Hard Way introduces a lot of noise and unnecessary stuff which you might never use in the future. Also, the examples are boorish and make no sense.
The C Programming Language, Second Edition
The Practice of Programming
The Unix Programming Environment
C Unleashed
21st Century C
Autotools: A Practitioner's Guide to GNU Autoconf, Automake, and Libtool
TDD by Example, by Kent Beck. This is the one programming book I go back to every few years, and even though it's not a huge book, I always come away with something new.
Refactoring, by Martin Fowler. Though I don't revisit this one quite as often (except maybe to look up one of the less common recipes, I think it's still a book ever programmer should read at least once.)
Patterns of Enterprise Application Architecture - our goto resource for breaking down development and design problems.
Continuous Delivery by Jez Humble and David Farley. One of the best books for clearly justifying the costs and processes of CI/CD patterns to non-IT people.
Tariq Ali is an aspiring web developer dedicated to producing interesting applications and websites for businesses. Before entering into web development, Tariq served as a journalist, real estate a...
Software Engineering by Ian Sommerville. This is not a book about writing code. It is instead about all the non-technical aspects of programming, such as the trade-offs of code reuse, managing risks to projects, dealing with complex "socio-political systems", and handling ethical dilemmas. It's a college textbook but it has practical advice for dealing with real-world situations, and it is the first book that I read that made me scared for programming. Even the textbook questions at the end of each chapter can give me pause.
Senior software developer at Amazon Web Services. I work on the AWS Serverless Application Repository and AWS SAM. I’m passionate about writing quality software and teaching others how to do the same.
Location
Seattle, WA
Education
BS Computer Engineering, Minors: CS and Math
Work
Sr. Software Development Engineer at Amazon Web Services
Experienced PHP and C programmer based in Norway, with a history of game and web development. CTO at Blue Scarab Entertainment, previously at Servebolt.com, IMVU, Smarterphone, and Funcom.
For testing: the RSpec book. I know it's old and dated, but nothing made it click for me like that book did.
For understanding programming: the Elements of Computing Systems. Amazing book (people are calling it "Nand to Tetris" these days). That book is the reason I understand hardware (the big patterns, not like all the nuances of modern complex hardware).
For Ruby: The Pickaxe and Ruby Under a Microscope. The pickaxe is shockingly practical. I wasted so much effort trying to learn stuff that was in that book. A lot of it is just docs, too, which makes it thick and scary, but the first half is a wonderful collection of super practical information. Ruby Under a Microscope is basically "how does Ruby work", pick that one up if you're writing Ruby based on syntactic patterns you've seen and you want to actually understand why anything does what it does.
The book Absolute Java was wonderful when I read it, too. At that time, I was very new, so their lengthy explanations of how things worked were very useful and enlightening. Now it's an obvious / boring read for me, but I'm not its audience any more. So if you've got less than a year or two of experience, this book does a good job of helping you understand how language level stuff are implemented. If you've never worked with a typed language before, it's also worth reading for that reason (any typed language will be good for your programming brain, it will make explicit and obvious a class of errors and ways of thinking that dynamic languages leave implicit).
I'm sure there are others, but my books are in storage.
Oldest comments (88)
JavaScript:
Essential JavaScript - Solid introduction to JavaScript and common programming principles
Secrets of the JavaScript Ninja, 2nd Edition - Function context, closures, ES6, oh my!
Learning JavaScript Design Patterns - Because fundamentals are good, and you should work on them.
Swift:
The Swift Programming Language (ie: the docs!) - It's literally the docs. That's how conversational the documentation for Swift is; they took it and put it in a book and it actually reads like one. 10/10 pretty much my only resource for learning Swift.
Python:
Learn Python The Hard Way - It's. Uh. Amazing.
Learning Django Web Development - Django documentation is great tbh, but it can be a little overwhelming given how deep every section goes. This book is a solid way to gain clarity on some of the verbose sections in the documentation.
Great list 👏
Written in order of recommendation per topic. Eloquent JS is a great lead-in into SotJS (which has become my favorite JS book), and once you've got a firm grasp on those core concepts understanding the various implementations of modules and stuff is covered pretty well in Learning JavaScript Design Patterns. Swift docs genuinely are as awesome as I hype them up to be.
Python, if Learn Python the Hard Way is too much, 'Automate the Boring Stuff w/ Python' is more interactive.
"Learn Python the Hard Way" teaches you all the wrong lessons in the wrong way. I learned using those books, and unfortunately had to relearn most of the lessons taught to me from that and "Learn C The Hard Way". Try "Dive Into Python".
I second that. Learn Python The Hard Way introduces a lot of noise and unnecessary stuff which you might never use in the future. Also, the examples are boorish and make no sense.
The C Programming Language, Second Edition
The Practice of Programming
The Unix Programming Environment
C Unleashed
21st Century C
Autotools: A Practitioner's Guide to GNU Autoconf, Automake, and Libtool
TDD by Example, by Kent Beck. This is the one programming book I go back to every few years, and even though it's not a huge book, I always come away with something new.
Refactoring, by Martin Fowler. Though I don't revisit this one quite as often (except maybe to look up one of the less common recipes, I think it's still a book ever programmer should read at least once.)
Both of them are excelent pieces.
Patterns of Enterprise Application Architecture - our goto resource for breaking down development and design problems.
Continuous Delivery by Jez Humble and David Farley. One of the best books for clearly justifying the costs and processes of CI/CD patterns to non-IT people.
Software Engineering by Ian Sommerville. This is not a book about writing code. It is instead about all the non-technical aspects of programming, such as the trade-offs of code reuse, managing risks to projects, dealing with complex "socio-political systems", and handling ethical dilemmas. It's a college textbook but it has practical advice for dealing with real-world situations, and it is the first book that I read that made me scared for programming. Even the textbook questions at the end of each chapter can give me pause.
Oh, this sounds great.
All from Scott Meyers.
Robert C. Martin
Clean Code: A Handbook of Agile Software Craftsmanship
I second that
I third that.
Distributed counting is hard. 😜
Really good book
I fourth that
Here here
Javascript:
Books:
Articles:
You Don't Know Js github.com/getify/You-Dont-Know-JS
The manual?
Eloquent JavaScript
Introduction to Algorithms 3rd Edition
"Working Effectively with Legacy Code" by Michael C. Feathers, and "C++ Coding Standards" by Herb Sutter and Andrei Alexandrescu.
For testing: the RSpec book. I know it's old and dated, but nothing made it click for me like that book did.
For understanding programming: the Elements of Computing Systems. Amazing book (people are calling it "Nand to Tetris" these days). That book is the reason I understand hardware (the big patterns, not like all the nuances of modern complex hardware).
For Ruby: The Pickaxe and Ruby Under a Microscope. The pickaxe is shockingly practical. I wasted so much effort trying to learn stuff that was in that book. A lot of it is just docs, too, which makes it thick and scary, but the first half is a wonderful collection of super practical information. Ruby Under a Microscope is basically "how does Ruby work", pick that one up if you're writing Ruby based on syntactic patterns you've seen and you want to actually understand why anything does what it does.
The book Absolute Java was wonderful when I read it, too. At that time, I was very new, so their lengthy explanations of how things worked were very useful and enlightening. Now it's an obvious / boring read for me, but I'm not its audience any more. So if you've got less than a year or two of experience, this book does a good job of helping you understand how language level stuff are implemented. If you've never worked with a typed language before, it's also worth reading for that reason (any typed language will be good for your programming brain, it will make explicit and obvious a class of errors and ways of thinking that dynamic languages leave implicit).
I'm sure there are others, but my books are in storage.
Java: Effective Java
C#: C# In Depth
JavaScript: You Don't Know JS series
[Haskell: Learn You a Haskell for Great Good]
General: Clean Code, The Mythical Man-Month