Do you need to create a function that returns a Boolean (True or False) but you don’t know how? No worries, in sixty seconds, you’ll know! Go! 🔥🔥🔥 A Python function can return any object such as a Boolean value (True or False). To return a Boolean, you can have an arbitrary simple or complex … Read more
Do you need to create a function that returns a string but you don’t know how? No worries, in sixty seconds, you’ll know! Go! 🚀 A Python function can return any object such as a string. To return a string, create the string object within the function body, assign it to a variable my_string, and … Read more
Coding Challenge 💬 Coding Challenge: Given a nested Python list, i.e., a list of lists. How to convert it to a string list, so that each inner list becomes a single string? Consider the following examples: 1. Input: [[‘h’, ‘e’, ‘l’, ‘l’, ‘o’], [‘w’, ‘o’, ‘r’, ‘l’, ‘d’]] Output: [‘hello’, ‘world’] 2. Input: [[‘h’, ‘i’], … Read more
The Python return keyword allows you to define the return value of a function (e.g., return X). If you don’t explicitly set a return value or you omit the return statement, Python will implicitly return the following default value: None. There are three cases of what a function can return: Case 1: The function has … Read more
Problem Formulation and Solution Overview This article will show you how to apply a function to a List in Python. To make it more interesting, we have the following running scenario: As a Python assignment, you have been given a List of Integers and asked to apply a function to each List element in various … Read more
Problem Formulation Given the following DataFrame df: 💬 Challenge: How to apply a function f to each cell in the DataFrame? For example, you may want to apply a function that replaces all odd values with the value ‘odd’. Solution: DataFrame applymap() The Pandas DataFrame df.applymap() method returns a new DataFrame where the function f … Read more
The name agg is short for aggregate. To aggregate is to summarize many observations into a single value that represents a certain aspect of the observed data. The .agg() function can process a dataframe, a series, or a grouped dataframe. It can execute many aggregation functions, e.g. ‘mean’, ‘max’,… in a single call along one … Read more
Problem Formulation and Solution Overview As a Python Coder, situations arise where you will need to apply a function against elements of a DataFrame Column. To make it more fun, we have the following running scenario: You have a DataFrame containing user information (including the column Recurring). This column is the Monthly Fee for a … Read more
Problem Formulation Say you need to call a potentially long function but you can only wait for a fixed time duration for the function to terminate. If the function does terminate within the time interval, you take the function’s return value. If the function does not terminate within the time interval, you want to take … Read more
Problem Formulation Given a Python iterable such as a list or a string that can be accessed via slicing. How to use the slicing operation iter[start, stop, step] so that for given values for start, stop, and step the output is an iterable (slice) containing only the first and the last element of the iterable? … Read more
This article shows you how to apply a given function to each element of a Python dictionary. The most Pythonic way to apply a function to each element of a Python dict is combining the dictionary comprehension feature and the dict.items() method like so: {k:f(v) for k,v in dict.items()} Note: All the solutions provided below … Read more
This article shows you how to apply a given function to each element of a tuple. The best way to apply a function to each element of a tuple is the Python built-in map(function, iterable) function that takes a function and an iterable as arguments and applies the function to each iterable element. An alternate … Read more