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Open source AI job application bot in Python: auto apply to jobs, with a tailored resume and cover letter for each posting.
Learn Low Level Design (LLD) and prepare for interviews using free resources.
Deep Reinforcement Learning: Zero to Hero!
API to retrieve LeetCode profile statistics
Sonic is a Go library for network and I/O programming that provides developers with a consistent asynchronous model, with a focus on achieving the lowest possible latency and jitter in Go.
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
These are the best resources for System Design on the Internet
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Learn how to design systems at scale and prepare for system design interviews
CaptureFlow - LLM-powered code maintenance that delivers reliable results.
GoServe is a collection of simple server projects, including proxy, reverse proxy, auth, api, chat, database, dhcp, file, game, grpc, iot, mail server, stream and url-shortner server
Docker tutorials and exercises for beginners.
A curated list of awesome Go storage projects and libraries
Class materials for a distributed systems lecture series
Data pipelines for cloud config and security data. Build cloud asset inventory, CSPM, FinOps, and vulnerability management solutions. Extract from AWS, Azure, GCP, and 70+ cloud and SaaS sources.
This is the Kilo Text Editor Implementation in Go
A tool to export and visualize your chess.com games written in vue.js
Full sourcecode for the book, "Concurrency in Go" published by O'Reilly.
Minimal RAG (Retrieval Augmented Generation) website with Pinecone, FastAPI, NextJS, MongoDB