metaclasses

Collection of presentations for advanced Python topics

DEPRECATED. USE INSTEAD github.com/blockspacer/flextool

Extension of LinkML runtime for converting instances of LinkML classes to OWL (classes or instances)

Bits of code from James Powell lecture on core concepts of python written in four Jupyter notebooks that cover protocol view of python, metaclasses, decorators, generators and context managers.

Advanced Python programming concepts: internals, metaprogramming, concurrency, design patterns, functional programming, and more. Educational resource with examples and exercises.

Watching for runtime changes in Python objects and launch callbacks

The goal of PythonUniverse is to collect and organize Python skills in one place. We've collected some Python techniques, Python modules, and some libraries for data science. Each Topic includes code snippet and further explanation.

A tool for automated delegation with abstract base classes

An exercise in exploring compile time code generation in C++

Singletonize is a lightweight Python library for implementing the Singleton pattern efficiently, supporting both standard and ABC-based approaches.

Basics of Syntax, Operators, Flow Control, Data Types & Methods, Classes, Inheritence, Meta-Programming, Modules, and Packages

Research into hacking in a `__new__` function before __cinit__ gets called so that C Extension Metaclasses can be made.

A class where its instances are classes

Header-only C++23 library — compile-time metaclasses via tuples and concepts. Sutter's P0707 patterns implemented in shipped C++23, zero runtime overhead.

typeclasses. Supports combinations of multiple typeclasses and out-of-source method definitions (data and logic separation).

A tiny Python ORM built from scratch (metaclasses, field descriptors, query builder) on top of SQLite.

Companion Code for the Medium Article on top Python Data Science Interview Questions.

A toy project. Attempt to use dynamic nature of Python to implement programming by contract.

Десктопные приложения. Мессенджер на основе PyQt5. Создал как клиентское, так и серверное приложения. Использовал PyQt5, SQLAlchemy, Метаклассы, потоки (Threads) и другие технологии и библиотеки...