Awesome Trainings from Cloud Native Computing Foundation Projects and Kubernetes related software
- cloud-native
- cncf
- containers
- continuous-learning
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Awesome Trainings from Cloud Native Computing Foundation Projects and Kubernetes related software
Code examples for “Interactive Data Visualization for the Web”
Türkiye'de yapılan derin öğrenme (deep learning) ve makine öğrenmesi (machine learning) çalışmalarının derlendiği sayfa.
The projects and the materials that accompany the Flutter Apprentice book
List of agent orchestrators
golang design pattern go 设计模式实现,包含 23 种常见的设计模式实现,同时这也是极客时间-设计模式之美 的笔记
This is A complete DSA preparation Course. A DSA self-paced course for ultimate Interview and Placement Preparation
80+ free AI services for chat, image, video, voice & APIs (may sometimes include access to lead gen ai models for free)
A boilerplate project created in flutter using MobX and Provider.
:book: JavaScript Primer - 迷わないための入門書
A list of C# Source Generators (not necessarily awesome) and associated resources: articles, talks, demos.
🧠 A curated list of awesome ChatGPT resources, including libraries, SDKs, APIs, and more. 🌟 Please consider supporting this project by giving it a star.
DevOps Real World Projects for Aspiring DevOps Engineers [Beginner to Advanced]
Use case-driven examples for using Puppeteer and headless chrome
Static site and content for Storybook tutorials
A repo for data science related questions and answers
GPU programming related news and material links
An evolving description of general best practices for backend development.
Awesome EventStorming
Best practices, tools and guidelines for backend development. Code examples in TypeScript + NodeJS
This is a collection of computer graphics related courses, books, tutorials, articles, blogs, resources, researcher homepages, lab homepages, video channels, open source projects, websites, etc.
「C/C++学习+面试指南」一份涵盖大部分 C++ 程序员所需要掌握的知识。入门、进阶、深入、校招、社招,准备 C++ 学习& 面试,首选 CppGuide!
:sunglasses: All the required resources to build your own startup
Source Code for the book: Machine Learning in Action published by Manning