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Author and maintainer: https://github.com/katursis
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#solidity #airdrop #auction #blockchain #dapp #dapps #erc20 #erc721 #ethereum #merkle_tree #nft #open_source #signature_verification #smart_contracts #solidity #solidity_contracts #tutorial_code #web3

This resource, "WTF Solidity," is a comprehensive guide for learning Solidity, the programming language used for Ethereum smart contracts. It offers a step-by-step tutorial with over 50 lectures, covering basics, advanced topics, and real-world applications like ERC20, ERC721, and more.

The benefits include Each lecture comes with code examples, articles, and mirrors, making it easy to follow and practice.
- **Community Support** It covers complex subjects like contract security, EVM opcodes, and internal rules of Solidity.
- **Practical Applications** There are specific sections dedicated to contract security and common vulnerabilities.

Overall, this resource is ideal for both beginners and experienced developers looking to deepen their understanding of Solidity and Ethereum development.

https://github.com/AmazingAng/WTF-Solidity
#markdown #awesome_list #free #programming #tutorial_code #tutorial_exercises #tutorials

This repository provides step-by-step guides to build various technologies from scratch, such as 3D renderers, augmented reality systems, blockchain, bots, command-line tools, databases, Docker, emulators, front-end frameworks, games, Git, network stacks, neural networks, operating systems, physics engines, programming languages, regex engines, search engines, shells, text editors, visual recognition systems, voxel engines, web browsers, and web servers. By following these tutorials, you can gain a deep understanding of how these technologies work and improve your coding skills. This hands-on approach helps you learn by doing, making complex concepts more accessible and fun to learn.

https://github.com/codecrafters-io/build-your-own-x
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#c_lang #bpf #ebpf #examples #libbpf #tutorial #xdp

This tutorial helps you learn eBPF (Extended Berkeley Packet Filter) step by step with practical examples. It covers basic concepts, code examples in languages like C, Go, and Rust, and real-world applications in areas such as observability, networking, and security. The tutorial is designed to be easy to follow, starting with simple "Hello World" programs and progressing to more advanced topics. It also provides pre-configured GitHub templates to quickly set up and run eBPF projects, making it easier for developers to focus on coding without worrying about the setup. This makes learning and using eBPF much simpler and faster.

https://github.com/eunomia-bpf/bpf-developer-tutorial
#other #beginner_project #cpp #golang #javascript #project #python #tutorial #webdevelopment

This resource provides a comprehensive list of programming tutorials and projects across various programming languages. You can learn by building real-world applications, such as interpreters, games, web apps, chat bots, and more. Here’s the benefit You get to learn by doing, which is one of the best ways to understand programming concepts.
- **Diverse Projects** The projects are practical and relevant, helping you build skills that can be applied in real-world scenarios.
- **Step-by-Step Guides**: Many tutorials are broken down into parts, making it easier to follow along and understand each step.

This approach helps you gain practical experience and build a portfolio of projects, which is valuable for both learning and career development.

https://github.com/practical-tutorials/project-based-learning
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#cplusplus #assembly #assembly_language #avx512 #benchmark #coroutines #cpp #cpp_programming #cpp17 #cpp20 #cuda #gcc #google_benchmark #hpc #io_uring #linux_kernel #llvm #ptx #ranges #tutorial #tutorials

This repository helps developers improve their coding skills by showing how to write faster and more efficient code. It includes examples for C++, CUDA, and Assembly, focusing on performance optimization techniques. By using this resource, developers can learn how to avoid common pitfalls like performance bottlenecks and improve their coding habits. It also provides benchmarks to compare different coding methods, helping users choose the best approach for their projects. This can lead to significant speed improvements and better use of computer resources.

https://github.com/ashvardanian/less_slow.cpp
#other #awesome #awesome_list #javascript #react #react_apps #react_native #react_tutorial #samples #tutorial #typescript

React is a powerful tool for building web applications. It offers many benefits, such as a **component-based architecture** that makes complex interfaces easier to manage, and a **virtual DOM** that improves performance by reducing unnecessary updates. React also has a **large community** and many **libraries and tools** that make development easier and faster. This includes tools for state management, routing, and styling, which help developers create efficient and scalable applications. Overall, React helps developers build fast, interactive web applications with less effort.

https://github.com/enaqx/awesome-react
#python #copilot #csharp #dotnet #github #github_copilot #github_copilot_chat #github_copilot_for_azure #github_copilot_free #github_copilot_training #javascript #lab #labs #microsoft #python #sql #tutorial #tutorial_code #tutorial_exercises #visual_studio_code #vscode

GitHub Copilot’s new Agent Mode is a powerful AI coding partner that goes beyond just suggesting code—it can independently write, debug, and improve your code, handle complex workflows, and even fix its own mistakes automatically. It works with multiple programming languages and integrates with popular development tools, helping you save time on repetitive tasks like testing, deployment, and refactoring. By using natural language prompts, you can guide it to complete multi-step projects, making coding faster and easier whether you’re a beginner or an expert. This course teaches you how to fully use these features, boosting your productivity and coding skills.

https://github.com/microsoft/Mastering-GitHub-Copilot-for-Paired-Programming