$ show Ebazhanov/linkedin-skill-assessments-quizzes
This repository is a crowdsourced collection of quiz questions and answers for LinkedIn skill assessments across dozens of technical domains (programming languages, frameworks, cloud platforms, design tools, etc.). The data is organized into topic directories, each containing a markdown file with multiple-choice questions, correct answers marked, and occasional reference links. Translations into multiple languages are provided. The repository includes a Python script (translate.py) for automated translation using Google Translate. The primary purpose is as a study aid for job seekers and interview preparation. The content is static and not actively maintained, leading to potential inaccuracies for current software versions. It is not an application or data pipeline but rather a curated knowledge base.
The LLM identified 2 files worth highlighting for reuse:
A Python script that translates English quiz markdown files into 20 languages using the deep-translator library. It handles chunking to respect API limits, preserves code blocks, and outputs translated files with language suffixes. This script demonstrates a reusable pattern for batch translation of structured markdown content, applicable to any multi-language documentation or quiz repository.
A short Python script demonstrating how to zip multiple lists together, likely as a solution to a quiz question. It is a self-contained example of a common programming pattern that can be reused for learning or testing.