Archive "Aftercourse"

Please note, that this project is obsolete, is no longer maintained and may be discarded in future updates. Up-to-date information regarding all projects is available at the following address: GitHub pages.

Contents

Several quick minimalistic domain-specific experiments/cheatsheets that were made out of neccessity, illustrate basic syntax/usage of certain tools and do not explicitly serve any high-level purpose.

Item	Description
Status	✔️Functional. 😴Archived, outdated, no longer maintained. 🤡Throwaway.
Reasoning	Due to modern consumer-oriented click-to-run LLM models/toolsets release (for example ChatGPT, LM Studio, Ollama etc), one of the best* ways to find, choose and start using a completely unfamiliar toolset for a given domain-specific problem is to prompt the appropriately-trained model: "X in Y does Z, is my understanding correct?" "In X there is Y. How to do Z using this Y? Explain the concept/approach." "List alternatives to Y, explain why they exist, provide comparative overview." * Depends on the applicable regulations/requirements.
Purpose	Host an archive with working code.
Name	This description was enhanced with the aid of an AI assistant. An aftercourse is a small, refreshing palate-cleansing dish that people usually enjoy after finishing the main course. In this unique scenario, a heavy main course dish corresponds to a detailed tutorial about an unfamiliar topic; a light enjoyable aftercourse dish corresponds to an informal minimalistic extract that can be quickly consumed.

Available Dishes

Location	Language	Tool	Purpose
advanced_nlp_with_spacy	python	SpaCy	Consolidate practical information, gained from the official course. Have minimal code that can be immediately used to process English/Russian natural languages.
cpp_save_and_read_custom_binary_file	c++	-	Have minimal code that can be immediately used to construct a custom binary record and save/read it from disk.
qt5_low_level_text_rendering	python	PyQt5	Observe the differences between word processing and text editing. Get a superficial understanding regarding how complex regular word processing actually is.