Overview of Collections – list and set¶ Let us get an overview of list and set as part of the Python Collections. Overview of list and set Common Operations Accessing Elements from Lists Adding Elements to list Updating and Deleting Elements – list Other list operations Adding and Deleting elements – set Typical set operations …
Exception Handling in Functions¶ Let us go through the details about exception handling in functions In [1]: def sum_n(n): try: return int((n * (n + 1) / 2)) except ValueError: print(f'{n} is not valid integer’) return In [2]: def sum_of_integers(lb, ub): try: return sum_n(ub) – sum_n(lb – 1) except Exception: print(f’Unable to get sum of integers between …
Usage of Lambda Functions¶ Lambda functions are typically used while invoking those functions which take functions as arguments. Here are some of the functions which take other functions as arguments. filter map sorted or sort and more There are many Python modules which have functions which take other functions as arguments. We will see quite …
Lambda Functions¶ Let us get an overview of Lambda Functions in Python. They are also known as anonymous functions in other programming languages. A lambda function is a function which does not have name associated with it. It starts with the keyword lambda. Typically we have simple one liners as part of lambda functions. There …
Passing Functions as Arguments¶ Let us understand how to pass functions as arguments using Python as programming language. The function which takes other functions as arguments is typically called as higher order function and the function which is passed as argument is called as lower order function. You need to define all the functions you …
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 …
