![]() ![]() Every time we want to make a change or add a new feature, we first have to read all the surroundings of the code we have to modify or extend. Think about it as developers, we spend much more time reading code than actually writing it. Therefore, we, as professionals, are the only ones who can judge this. It depends on other engineers to be able to read and maintain the code. Here is where the true nature of clean code lies. The real language behind programming languages is to communicate our ideas to other developers. That's not the truth, but part of the truth. Clean code is not something a machine or script could tell (so far), but rather something that us, as professionals, can decide.įor decades of using the terms programming languages, we thought that they were languages to communicate our ideas to the machine, so it can run our programs. ![]() Sure, you can run tools such as checkers, linters, static analyzers, and so on. Moreover, there is probably no way of formally measuring clean code, so you cannot run a tool on a repository that could tell you how good, bad, or maintainable or not that code is. There is no sole or strict definition of clean code. How to configure tools to help arrange the layout of the code in a consistent way so that team members can focus on the essence of the problem.How to make the code self-documenting by using the features that Python provides.That even so, having a standard formatting is a key component to have in a software project, for the sake of its maintainability. ![]()
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