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Python

2025


4 meta-programming techniques in Python

5 mins
Meta-programming in Python allows developers to write code that manipulates code itself, enabling dynamic behavior and advanced programming techniques. Examples include decorators, metaclasses, and dynamic class creation.

How to Enforce Type Checking in Python

7 mins
while Python does not enforce variable types at runtime, developers can use type hints in conjunction with static analysis tools or third-party libraries to impose type constraints.

Singletons in Python

8 mins
A singleton is a design pattern that restricts the instantiation of a class to one single instance. This is useful when exactly one object is needed to coordinate actions across the system. In Python, there are several ways to implement singletons, including using modules, classes, and decorators.

The __init__.py is still useful

4 mins
Before Python 3.3, the `__init__.py` file was used to mark a directory as a Python package. It can be empty, but it can also contain code that initializes the package or sets up the package namespace. In modern Python, it is still useful for defining the package interface and providing a consistent API for users.

Dynammically importing modules in Python

4 mins
Dynamically importing modules in Python can be done using the importlib module, which provides a way to import modules programmatically. This can be useful for loading modules at runtime based on certain conditions or configurations.

Where is the Python switch statement?

3 mins
Although Python does not have a switch statement, there are several ways to implement similar functionality. You can use if-elif-else statements, dictionaries, or the match-case statement introduced in Python 3.10.