Recap of User Defined Functions¶ As we have gone through all the key concepts related to User Defined Functions, let us recap them. Defining the function with parameters Relevance of Doc Strings Returning one or more values Defining default values to the parameters Passing argument by position Keyword arguments or passing argument by name Different …
Keyword Arguments¶ Let us go through the details related to Keyword Arguments using Python as Programming Language. Keyword Argument is same as passing argument by name. You can also specify parameter for varying keyword arguments with ** at the beginning – example: **degrees While passing arguments to satisfy the parameter with **, you have to …
Varying Arguments¶ In Python we can pass different number of arguments of same type while invoking functions. Let’s talk about Varying arguments. At times we might want to pass values of same type as arguments and we might not know how many of them. In that scenario we can leverage the concept of Varying arguments. …
Returning Values¶ Let us understand more about returning values to the caller. We typically have one or more return statements inside the function body. The statement return exits a function, we can return back an expression or variable or object to the caller. A return statement with no expression is the same as return None. …
Doc Strings¶ Documentation is one of the key aspect related to programming. However, it should be crisp and informative. In Python we can use doc strings for the documentation of our code.* One of the key aspect of documentation is to provide information about usage of a function. In Python we can get the information …
Defining Functions¶ Let us understand how to define functions in Python. Here are simple rules to define a function in Python. Function blocks begin with the keyword def followed by the function name and parentheses (). While defining functions we need to specify parameters in these parentheses (if applicable) The function specification ends with : …
