Lists (3)
Stars
😎 Awesome list of tools and projects with the awesome LangChain framework
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Курс "ООП и паттерны проектирования в Python" от МФТИ
Курс "Погружение в Python" от МФТИ
Code examples from the book, Python 101 by Michael Driscoll
A few starter examples of ansible playbooks, to show features and how they work together. See http://galaxy.ansible.com for example roles from the Ansible community for deploying many popular appli…
An opinionated list of awesome Python frameworks, libraries, software and resources.
Репозиторий курса "Python для сетевых инженеров". Курс находится на GitBook: https://www.gitbook.com/book/natenka/pyneng
Source code for 'Python Descriptors' by Jacob Zimmerman
GitHub Action that sends a Telegram message.
Action for sending text and files to telegram
A curated list of 100+ libraries and frameworks for AI engineers building with LLMs
Tower defense game that teaches cloud architecture. Build infrastructure, survive traffic, learn scaling.
A comprehensive educational repository for mastering prompt engineering with Anthropic's Claude AI, from basic concepts to production-ready systems. Based on Anthropic's official Claude Code Prompt…
Collection of Agentic Workflows
Collection great groups, channels, bots and libraries for Telegram
An Open Source implementation of Notebook LM with more flexibility and features
all of the workflows of n8n i could find (also from the site itself)
Pull request comments with junit and coverage reports
Generate a test report with AI summaries from various models including OpenAI, Azure and Claude
Publish and view test reporting directly in your GitHub Actions CI/CD workflow and Pull Requests with detailed test summaries, failed test analyses, and flaky test detection.
“Библия QA” - это обновляемая база знаний объемом 560+ страниц
🤖 A curated list of resources for testing AI agents - frameworks, methodologies, benchmarks, tools, and best practices for ensuring reliable, safe, and effective autonomous AI systems
Instructions for LLMs on how to produce great tests with best practices inside