Python Tips

In the programming world, strings are one of the most common data types. However, different programming languages can have significant differences in how they handle strings. Today, we’ll delve into the distinction between Go and Python in processing string lengths, a seemingly simple concept that reveals important differences in language design philosophy. Case Study Let’s start with a simple example: s := "Hello, 世界! 👋" This string contains ASCII characters, Chinese characters, and an emoji....

functools provides a range of features that can greatly simplify your code and make it more efficient. The functools module is part of the Python standard library and provides higher-order functions, decorators, and other utilities for working with functions. functools.partial: Partial Function Application Partial function application is a technique where you create a new function by fixing certain arguments of an existing function, allowing you to provide only the remaining arguments when calling the new function....

Pydantic Library Pydantic v2 is a powerful data validation and serialization library for Python. It leverages Python’s type hints to provide runtime data validation, making your code more robust and easier to maintain. Installation To install Pydantic, use pip: pip install pydantic For email validation, you can install the optional email-validator dependency: pip install pydantic[email] Basic Concepts Models Pydantic models are classes that inherit from BaseModel and define fields with type annotations....

Both overriding and overloading are concepts in object-oriented programming that allow you to define methods with the same name but different behavior. However, they differ in their implementation and purpose. Overriding Overriding is a mechanism by which a subclass can provide a different implementation of a method that is already defined in its superclass. When a method is overridden, the subclass’s implementation takes precedence over the superclass’s implementation, allowing you to customize the behavior of the method for the specific subclass....

The namedtuple function is a factory function from the collections module in Python that creates a new class-like object that behaves like a tuple, but with named fields. Here are some cases where you might consider using namedtuple: Improved readability: If you have a collection of records or objects that have a fixed set of attributes, using a namedtuple can make your code more readable by giving names to the fields instead of relying on integer indices....