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Build systems handling concurrency, distributed transactions, and high-throughput ingestion. Learn by doing, not watching tutorials.
List of top 500 ReactJS Interview Questions & Answers....Coding exercise questions are coming soon!!
Questions to ask the company during your interview
Everything you need to prepare for your technical interview
📙 Amazon Web Services — a practical guide
A complete computer science study plan to become a software engineer.
Collection of papers from the Goldman Sachs Quantitative Strategies Research Notes series (published in the '90s)
The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)
Complete Apache Kafka learning journey from zero to production. Includes comprehensive guide, Docker Compose cluster setup, multi-language examples (Python/Java/Node.js/Go), and production-ready ma…
AWS Certified Solutions Architect – Associate
Neural Networks: Zero to Hero
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline
Resources to Prepare for Quant Developers/ Quantitative Researcher/ Quantitative Trader/ Quant Analyst/ Software Engineers in Quant Trading Firms, HFTs and Hedge Funds
Distributed stream processing engine in Rust
A collection of reusable Github Actions workflows.
Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.
An experimental, vibe-coded, Sensay API CLI. Developer preview.
12 Lessons to Get Started Building AI Agents
🐙 Guides, papers, lessons, notebooks and resources for prompt engineering, context engineering, RAG, and AI Agents.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"