A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
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A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
Master the command line, in one page
21 Lessons, Get Started Building with Generative AI
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
"The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more
18 Lessons to Get Started Building AI Agents
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
🗂 The essential checklist for modern web development, for humans and AI agents
from vibe coding to agentic engineering - practice makes claude perfect
Collaborative cheatsheets for console commands 📚.
An ultra-simplified explanation to design patterns
Summer 2027 software engineering, data science, AI, quant, product management, and hardware internship postings. Updated daily by Simplify and Pitt CSC.
Manually curated collection of resources for frontend web developers.
the only cheat sheet you need
A curated list of awesome command-line frameworks, toolkits, guides and gizmos. Inspired by awesome-php.
TranslatedLatest summary for 2025: technical interview questions from Alibaba, Tencent, Baidu, Meituan, Toutiao and others, along with answers and a compilation of analysis from expert question-setters.
TranslatedA search tool for a complete collection of Linux commands, with content including a Linux command manual, detailed explanations, learning resources, and collected material. https://git.io/linux
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
A collection of modern/faster/saner alternatives to common unix commands.
An evolving how-to guide for securing a Linux server.
Automated auditing, performance metrics, and best practices for the web.
A playbook for systematically maximizing the performance of deep learning models.
This repository started out as a learning in public project for myself and has now become a structured learning map for many in the community. We have 3 years under our belt covering all things DevOps, including Principles, Processes, Tooling and Use Cases surrounding this vast topic.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.