BePosPliz (be positional please) is a lightweight module to anonymize the args of a function.
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Updated
Dec 13, 2022 - Python
BePosPliz (be positional please) is a lightweight module to anonymize the args of a function.
A Unified response manager and decorators for FAST APIs, REST APIs, Machine Learning, Deep Learning, and AI inference outputs.
A decorator to call a function every n seconds
Companion Code for the Medium Article on top Python Data Science Interview Questions.
Decorators to use LLMs to check your code. For CI, or for fun. It is silly.
Decorator function and library for code profiling.
Decorator for retrying when exceptions occur
Simple cashing wrapper that pulls from the memory past results of repeated calculations and helps to save computational power.Works for functions with any number of parameters!
A python package that tests function call instances using a simple decorator.
Course Files for Complete Python 3 Bootcamp Course on Udemy (by Jose Portilla)
A small OOP project using Encapsulation, Decorators for a safe LMS
People have confusion about how to use python decorators in the proper way and how it works. The main reason for it is there are several ways to use decorators. In this project, every kind of example is included.
Fundamental Python Concepts.
This project demonstrates the use of Python generators for efficient data handling, focusing on streaming data from SQL databases, batch processing, lazy loading, and memory-efficient aggregation. The project is part of the ALX program and uses PostgreSQL as the database system.
This Python project implements a Rate Limiter decorator that restricts the number of function calls within a specified time window. It helps control execution flow and prevent excessive function calls.
Clean, Modular Python Decorators Inspired By The Clarity And Wisdom Of Tengri.
GitHub repository for the 'Introduction to Modern Python' course
Тестирование авторского решения для решения системы линейных уравнений методом Гаусса
Allows for mutable defaults comfortably and intuitively.
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