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Docker - Beginners | Intermediate | Advanced
A very simple toon lit shader example, for you to learn writing custom lit shader in Unity URP
Collection of notebooks about quantitative finance, with interactive python code.
TranslatedDeploy a kubernetes cluster step by step with me
Collection of methodology and test case for various web vulnerabilities.
Let's learn a new technology every week. A new technology blog every Sunday in 2016.
The most impressive websites in the world use 3D graphics and animations to bring their content to life. Learn how to build your own ThreeJS 3D Developer Portfolio today!
TranslatedBuild your own C++ server in 30 days, including tutorials and source code
TranslatedAI in Practice - practicalAI, Chinese version
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.
The most comprehensive Claude Code guide: agentic workflows, hooks, skills, MCP servers, quizzes, and production-ready templates. 430K+ lines.
:dolphin: A comprehensive tutorial on getting started with Docker!
SQLI labs to test error based, Blind boolean based, Time based.
Dapp learning project for developers at all stages. Becoming and cultivating sovereign individuals. Nonprofit organization.
A beginner's guide to setting up a development environment on macOS
TranslatedTop free VPN (ClashX & V2Ray proxy) with subscription links. [Free VPN, free ladder, free "scientific internet access", free subscription links, free nodes, curated selection, ClashX & V2Ray tutorials]
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
🚀 Real-world DevOps projects for aspiring engineers — Beginner to Advanced. Covers AWS, Kubernetes, Docker, CI/CD, Terraform, Jenkins, and more. Hands-on learning with step-by-step guides.
TranslatedHow to deploy a PaaS/DevOps (a complete software development and deployment platform) based on K8s (Kubernetes) -- tutorial/learning (hands-on code/architecture design/extensive comments/illustrated operation steps). You will learn to deploy things such as: K8S (Kubernetes), Dashboard, Harbor, Jenkins, local Gitlab, the Apollo framework, Promtheus, Grafana, Spinnaker, etc.
Sutskever 30 implementations inspired by https://papercode.vercel.app/ | For Agents, use https://github.com/pageman/Sutskever-Agent | Polyglot / Multi-Backed version at https://github.com/pageman/sutskever-30-beyond-numpy
👩🏻🏫 Learn Apollo - A hands-on tutorial for Apollo GraphQL Client (created by Graphcool)
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks