10 Python Best Practices — Part 1

10 uncommon yet powerful methods that go beyond the conventional wisdom

Photo by Boitumelo on Unsplash

In this blog article, we’ll look at ten unusual yet effective ways that go beyond conventional wisdom, providing new insights into the art of writing clean and maintainable code.

Use Enumerations for Clarity:

Use Python enumerations to represent a collection of named values. This not only improves code readability but also assures that values are limited to a specific set.

from enum import Enum

class Status(Enum):
    SUCCESS = 1
    FAILURE = 2
    PENDING = 3

Functional Programming Techniques:

Explore functional programming techniques such as map, filter, and lambda functions. These approaches can lead to more concise and expressive code when dealing with collections.

# Traditional approach
squared_numbers = []
for num in numbers:
    squared_numbers.append(num ** 2)

# Functional approach
squared_numbers = list(map(lambda x: x ** 2, numbers))

Decorators for Code Separation:

Use decorators to separate concerns and enhance the modularity of your code. Decorators can be especially helpful in adding functionality to functions without cluttering their…