![]() ![]() Take a look at the following code, it shows you how to write the docstring in any circumstance. No blank lines before, no blank lines after. Writing a docstring is simple, you just add the multiline string syntax right after the definition statement. The docstring is a string containing the documentation of a given component. Each component can have only one docstring. If you don’t specify it, it will be None. Each individual component (a function, a class, a module) has its own docstring. It is a special multiline string, thus you have to include it between three sets of quotes, not just one. Simply put, the docstring is a string containing the documentation of a given component. Writing Python Documentation Introducing the docstring Writing Python Documentation inside the code is ridiculously simple. ![]() Documenting a class? Write the documentation inside the class statement, you get the point.Īs we will see, Python does a really good job in that. Documenting a function? Write its documentation inside the def statement. To be even more specific, you write the documentation inside the code you want to document. It simply means you write the documentation in the same file of the code. This is a modern concept of documentation, and many languages are adopting it. This will create a gap between code and documentation that will eventually grow to make documentation useless.Ĭode and documentation must reside in the same place. By doing so, I guarantee that one day someone will edit the code and forget to update the document. Even more, it is one of the worst ideas we could have. Writing the code and then creating a PDF document to explain its functionalities is a bad idea. The most important concept you need to remember is that code and documentation must live in the same place. Probably not the easiest way to start writing documentation. In fact, the official Python website throws at you a list of things to do in this document. Python makes no exception, and we have some rules to follow when writing python documentation. Furthermore, every programming language has its own best practices when it comes to documentation. Python Documentation according to Best PracticesĮvery programming language supports documentation. Nothing is obvious when it comes to programming. Your should document every piece of code, even the ones you think obvious. The program won’t use that for its functionality, but other programmers will use that to get by. ![]() So, documenting means adding an explanation to your code. Thus, even if you are working alone, make a favor to the “you of the future”.ĭocumenting means adding an explanation to your code. At some point in time, you will have to read the code again. It doesn’t matter if some other programmers will read your code, or if you are the only one working on it. Even more, it can turn you from beginner to professional in no time, saving you all the pain in the road. Let this statement sink in your brain, as this can change the way you work. You write code for people to read, not for computers. If you believe that, think again, because computers only understand binary: 0 and 1. If you took coding classes, someone probably told you that writing code means talking to the PC. Python Documentation Manifesto What does “documenting” mean?ĭocumenting means add information to your code for other programmers to read. These will make your code far more readable and maintainable. In this article, we are going to see how you can use python documentation best practices. We can prevent this bad situation simply by writing Python Documentation. When we wrote the code, everything was clear, but after a few weeks or months, it looks fuzzy. Sometimes we just keep staring at the code, trying to figure out what it does and why. Have you ever experienced frustration because of the code you wrote? If you have been writing code for a while now, you probably had. ![]()
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