By Kevlin Henney
With this ebook, you get ninety seven brief and very important programming advice from one of the most skilled and revered practitioners within the undefined, together with Uncle Bob Martin, Scott Meyers, Dan North, Linda emerging, Udi Dahan, Neal Ford, and lots of extra. They motivate you to stretch your self through studying new languages, difficulties in new methods, following particular practices, taking accountability on your paintings, and turning into nearly as good on the complete craft of programming as you probably can.
This wealth of functional wisdom comprises rules that observe to initiatives of all kinds. you could learn the booklet finish to finish, or simply flick thru to discover themes of specific curiosity. 97 issues each Programmer may still Know is an invaluable reference and a resource of inspiration.
* faucet into the data of professional programmers who've earned stellar reputations * study the fundamental knowledge each programmer wishes, whatever the language you employ * make the most of the net presence that has advanced from this publication project
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Additional resources for 97 Things Every Programmer Should Know: Collective Wisdom from the Experts
Ever run a static analysis tool over the codebase or look at the warnings in your IDE? Understand what they’re reporting and why. • Follow the advice of the Pragmatic Programmers* and learn a new language every year. At least learn a new technology or tool. Branching out gives you new ideas you can use in your current technology stack. • Not everything you learn has to be about technology. Learn the domain you’re working in so you can better understand the requirements and help solve the business problem.
This is the way we can keep our systems maintainable over time, with clean, simple, testable code, ensuring a high speed of development throughout the lifetime of the system. Beauty is born of and found in simplicity. Collective Wisdom from the Experts 11 Before You Refactor Rajith Attapattu At some point, every programmer will need to refactor existing code. But before you do so, please think about the following, as this could save you and others a great deal of time (and pain): • The best approach for restructuring starts by taking stock of the existing codebase and the tests written against that code.
However, if we think a bit more carefully about it, the antidote to those symptoms is efficiency, consistency, and elegance, not necessarily convenience. APIs are supposed to hide underlying complexity, so we can realistically expect good API design to require some effort. A single large method could certainly be more convenient to write than a well-thought-out set of operations, but would it be easier to use? The metaphor of API as a language can guide us toward better design decisions in these situations.