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Author: QPY+ Team

The QPython Course Team is committed to creating the core QPython curriculum, offering practical, engaging, and current high-quality Python courses. With extensive experience and expertise, our team customizes courses to meet your specific needs. Our goal is to make learning Python enjoyable, straightforward, and effective.

Python by Structure: Return Value Transformations with Decorators

Timothy was working on a text processing module when he noticed something odd. “Margaret, I have five functions that all […]

Using One Database for Two Apps: Should You Copy Your Models or Import Them?

Using One Database for Two Apps: Should You Copy Your Models or Import Them? When you work on a project […]

Introduction to Python Metaclasses

Metaclasses are one of those Python features that sound complicated but are actually based on a simple idea: Classes create […]

How to Publish a Python Package to PyPI

Introduction I recently developed and published my first Python library to PyPI. This article is not about the technical details […]

Mastering Python Code Quality: A No-Nonsense Guide to Tools That Actually Prevent Technical Debt

Hey fellow engineers—tired of codebases that start clean and end up as tangled messes? You’re not alone. Most teams slap […]

Visualização de dados em Python

Quando alguém fala em “limpar dados”, a primeira imagem que costuma vir à cabeça é abrir um Jupyter Notebook e […]

The Elegant Architecture of Pythonic Data: From Verbose to Virtuosic

You’ve been there. Staring at a screen of your own code—code that works perfectly fine. It passes the tests, it […]

The Unseen Architecture of Python: Mastering Environments, Typing, and Memory

You’ve spun up countless Python projects. The ritual is familiar: create a directory, initialize a virtual environment, install dependencies, and […]

Python basics – Encapsulation and Attributes

 Encapsulation & Property Project: Build a “Bank Account System” that demonstrates encapsulation, private attributes, and the use of Python’s @property […]

Python basics – Python Standard Library

 Python Standard Library Project: Build a “Utility Toolkit” using core Python standard modules (math, random, datetime, time, os). 01. Learning […]

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