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Joining any new company—with an established culture and programming practices—can be a daunting experience. When I joined the team, I decided to write up the software engineering practices and principles I’ve learned over the years and to which I strive to work. This is a non-definitive, non-exhaustive list of principles that should be applied with wisdom and flexibility. My passion is for testing, as I believe that good testing practices can both ensure a minimum quality standard (sadly lacking in many software products), and can guide and shape development itself.

Many of these principles relate to testing practices and ideals. Some of these principles are Python-specific, but most are not.

(For Python developers, should be your first stop for programming style and guidelines.). • • • • In general, we programmers are an opinionated lot, and strong opinions are often a sign of great passion. With that in mind, feel free to disagree with these points, and we can discuss and debate them in the comments. Development and testing best practices 1. Don't write code that you think you might need in future, but don't need yet. This is coding for imaginary future use cases, and inevitably the code will become dead code or need rewriting because the future use case always turns out to work slightly differently from how you imagined it.

If you put code in for a future use case, I will question it in a code review. (You can, and must, design APIs, for example, to permit future use cases, but that's a different issue. Johnny Cash Out Among The Stars Rar Extractor on this page. ) The same is true for commenting-out code; if a block of commented code is going into a release, it shouldn't exist.

If it is code that may be restored, make a ticket and reference the commit hash for the code delete. YAGNI is a core element of. The best reference for this is, by Kent Beck. Tests don't need testing. Infrastructure, frameworks, and libraries for testing need tests. Don't test the browser or external libraries unless you really need to. Download Update Windows Xp Sp3 Offline 2013 Ram more.

Test the code you write, not other people’s code. The third time you write the same piece of code is the right time to extract it into a general-purpose helper (and write tests for it). Helper functions within a test don't need testing; when you break them out and reuse them they do need tests. By the third time you've written similar code, you tend to have a clear idea of what shape the general-purpose problem is that you're solving. When it comes to API design (external facing and object API): Simple things should be simple; complex things should be possible.

Design for the simple case first, with preferably zero configuration or parameterization, if that's possible. Add options or additional API methods for more complex and flexible use cases (as they are needed). Check input and fail on nonsensical input or invalid state as early as possible, preferably with an exception or error response that will make the exact problem clear to your caller. Permit 'innovative' use cases of your code though (i.e., don't do type checking for input validation unless you really need to). Unit tests test to the unit of behavior, not the unit of implementation.