Collection of presentations for advanced Python topics
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Updated
Mar 28, 2022 - Jupyter Notebook
Collection of presentations for advanced Python topics
DEPRECATED. USE INSTEAD github.com/blockspacer/flextool
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.
Basics of Syntax, Operators, Flow Control, Data Types & Methods, Classes, Inheritence, Meta-Programming, Modules, and Packages
Десктопные приложения. Мессенджер на основе PyQt5. Создал как клиентское, так и серверное приложения. Использовал PyQt5, SQLAlchemy, Метаклассы, потоки (Threads) и другие технологии и библиотеки...
A tool for automated delegation with abstract base classes
typeclasses. Supports combinations of multiple typeclasses and out-of-source method definitions (data and logic separation).
Extension of LinkML runtime for converting instances of LinkML classes to OWL (classes or instances)
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.
Python tools (JSON, YML configs, metaclasses, decorators).
A toy project. Attempt to use dynamic nature of Python to implement programming by contract.
Python metaclasses are how classes are created, and by defining your own metaclasses you can guide and constrain code contributors in a complex codebase. This article reviews how metaclasses can be employed to implement static checking of user-defined derived classes.
An exercise in exploring compile time code generation in C++
pyTooling is a collection of arbitrary useful classes, decorators, meta-classes and exceptions.
Watching for runtime changes in Python objects and launch callbacks
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