If you want to create a function that takes an arbitrary number of arguments, use *args or **kwargs.
*args allows variable arguments as a set, while **kwargs allows variable keyword arguments as a dictionary.
How to Pass an Arbitrary Number of Arguments to a Python Function Read More »
To increase the readability of a number with a large number of digits, you can use f-strings to display an integer with comma formatting for thousands.
Enhance Number Readability with f-Strings and Comma Formatting Read More »
If you want to apply a common piece of functionality to multiple functions while keeping the code clean, use a decorator. Decorator modifies the behavior of your Python functions without altering the code directly.
In the code above, time_func is a decorator that can be used to track the execution time of any function.
As the number of function arguments increases, it becomes challenging for developers to keep track of the purpose of numerous arguments and use the function.
To improve the code readability, you can bundle multiple related arguments into a cohesive data structure with a dataclass or a Pydantic model.
Without if __name__ == “__main__” block, other scripts can unintentionally trigger the execution of the main code block when importing from another script
Placing the main code inside the if__name__ == “__main__” block prevents such unintended execution.
Why __name__ == “__main__” Matters in a Python Script? Read More »
map and filter are two popular methods to manipulate a Python iterable.
If you want to get only the elements of an iterable that satisfy the given condition, use filter.
If you want to apply a function to each element of an iterable, use map.
Python’s Powerful Iterable Manipulation: Map and Filter Read More »
If you have multiple functions with a shared purpose but differing only in element types, group them into one function to improve code readability and scalability.
Type variables allow you to create generic code that can adapt to various types based on the context in which it is invoked.
typing.TypeVar: Flexible Typing for Context-Dependent Types Read More »
If you want to create dynamic SQL statements with Python variables, use Python string Template.
string Template supports $-based substitutions.
Create Dynamic SQL Statements with Python string Template Read More »
If you are using if statements to return different values, adding an else clause may introduce unnecessary complexity. Omitting the else clause for the last condition will make the code simpler and easier to read.
Omit Else Clauses in a Python Function to Improve Code Readability Read More »
Sets offer several methods for performing set operations such as union, intersection, and difference, which are not available in lists.
Converting a list to a set allows you to utilize these methods on the elements of the list.