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No blank lines before, no blank lines after. Nothing is obvious when it comes to programming.Every programming language supports documentation. If you have been writing code for a while now, you probably had. Teach yourself to write documentation even in the scripts you write for testing and learning, you will soon be a professional.Now, it is time for you to explore all the goodness of documentation. And, if not, you certainly will. "A universal convention supplies all of … It is more lengthy and could only be used for the long and detailed documentation.As you learned that docstrings are accessible through the built-in Python Pydoc is a tool that would come handy when you want to share the code with your colleagues or make it open-source, in which case you would be targeting a much wider audience.
The Python standard library is conservative and requires limiting lines to 79 characters (and docstrings/comments to 72). Long lines can be broken over multiple lines by wrapping expressions in parentheses. Without the Once we want to finalize the static web pages with our documentation, we can run a build. Rationale. - Pieter Hintjens "Fit the 90% use-case. You shouldn’t worry about how it works, only about how you can use it. character.If you look at the above output, the very first use of Pydoc is to show text documentation on a function, module, class, etc. It can be used for the shorter form of documentation. For example, let's say you installed the You would see an output similar to the one shown below:Docstrings are similar in spirit to commenting, but they are enhanced, more logical, and useful version of commenting. Writing Python Documentation inside the code is ridiculously simple.Simply put, the docstring is a string containing the documentation of a given component. When we wrote the code, everything was clear, but after a few weeks or months, it looks fuzzy. Also, the standard convention is to use the triple-double quotes.From the above Docstring output, you can observe that:Multi-line Docstrings also contains the same string literals line as in One-line Docstrings, but it is followed by a single blank along with the descriptive text.The general format for writing a Multi-line Docstring is as follows:Let's look at the example which can show how the multi-line strings can be used in detail:You can see above that the summary line is on one line and is also separated from other content by a single blank line. Writing the code and then creating a PDF document to explain its functionalities is a bad idea. Not a problem, docstrings are natively multiline. Each individual component (a function, a class, a module) has its own docstring. This doesn’t mean you have to know it all, but knowing some is certainly good. You can leave everything to the default value, but be sure to use the At this point, open the generated conf.py file and after the first line (When we launched the Sphinx setup, it created several files. This PEP documents the semantics and conventions associated with Python docstrings. However, Docstrings is a very vast topic, and some concepts might have been left unexplored. It is more verbose than other documentation, but it is an excellent choice if you want to do detailed documentation, i.e., extensive documentation of all the functions and parameters.The above example is more verbose than any other documentation. And, of course, let me know if you wish to know more about these topics!

It also has an inconvenient feature, i.e., in the above code, the multi-line description of the distance would look messy. It understands RST.Using Sphinx is a pillar of python documentation, and being a complex tool we cannot cover everything about it in this article. The aim of this PEP is to standardize the high-level structure of docstrings: what they should contain, and how to say it (without touching on any markup syntax within docstrings). Along with docstrings, Python also has the built-in function help () that prints out the objects docstring to the console. The Best of the Best Practices (BOBP) Guide for Python.