Search Results for "qr-code-generator"
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Showing 663 open source projects for "qr-code-generator"
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Source Code Hunter
Source code analysis of Spring, MyBatis, Redis, Netty, and more
Source Code Hunter is an open source project by Doocs that focuses on analyzing and explaining the source code of widely used Java frameworks and libraries. It helps developers deepen their understanding of internal implementations, design patterns, and performance optimizations by walking through actual codebases such as Spring, MyBatis, Netty, Tomcat, and others. -
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Clean Code concepts for .NET/.NET Core
Clean Code concepts and tools adapted for .NET
Clean Code concepts for .NET/.NET Core is a comprehensive guide and collection of best practices aimed at helping developers write clean, maintainable, and efficient code in .NET applications. It adapts widely accepted clean code principles to the .NET ecosystem, providing examples, explanations, and guidelines tailored to C# and related technologies. -
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OpenMAIC
Open Multi-Agent Interactive Classroom
...The platform generates multiple learning scenes rather than a single static output, including slides, quizzes, interactive simulations, and project-based activities, which makes it feel closer to a guided lesson than a simple content generator. It also supports whiteboard-style visual explanation and text-to-speech delivery, allowing agents to draw, explain formulas, and speak aloud during instruction. OpenMAIC is built for flexible deployment, with support for direct use through its web experience as well as integration with OpenClaw so classrooms can be generated from messaging platforms such as Slack, Telegram, and Feishu. -
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Introduction to Zig
An open, technical and introductory book for the Zig programming lang
...To know more about the book, check out the About this book section below. You can read the current version of the book in your web browser. The book is built using the publishing system Quarto in conjunction with a little bit of R code (zig_engine.R), which is responsible for calling the Zig compiler to compile and run the Zig code examples. -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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reprex
Render bits of R code for sharing, e.g., on GitHub or StackOverflow
reprex is an R package (from the tidyverse / Posit ecosystem) that helps users make reproducible examples (reprexes) of R code: self-contained, shareable, minimal examples capturing an issue or showing desired behavior. It formats code and its output nicely (often using Markdown or syntax appropriate to posting on forums, GitHub, StackOverflow etc.), handles dependencies, session info, etc. The goal is to make debugging, asking for help, or demonstrating code easier through rigorous reproducible examples. ... -
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GSY Flutter Book
Flutter complete development practical explanation series
...The repository also shows how to structure a learning project with chapters, code folders, and eventually live sample apps. Because it is community-maintained, readers can open issues, review code, and learn from how the examples evolve. -
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Software Design in Haskell
Software Design in Haskell
...Throughout, the code illustrates dependency inversion in Haskell, showing how to swap implementations without pervasive rewrites. The result is a cookbook of strategies and runnable examples that help teams structure real-world Haskell applications beyond small scripts or academic exercises. -
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Companion notebooks for Deep Learning
Jupyter notebooks for the code samples of the book
...The project covers a wide range of topics, including neural networks, computer vision, natural language processing, and sequence modeling. Each notebook is structured to combine theoretical explanations with executable code, allowing users to experiment and learn interactively. The material is designed to be accessible while still covering advanced topics, making it suitable for both beginners and intermediate practitioners. It leverages modern libraries and frameworks to demonstrate real-world applications of deep learning techniques. The notebooks also emphasize best practices in model training, evaluation, and deployment. ... -
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Claude How-To
A visual, example-driven guide to Claude Code
...Its main value is helping developers move from casual Claude Code usage to more organized, automated, and agent-driven software development. -
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MDN Learning Area
GitHub repo for the MDN Learning Area
learning-area is the official GitHub repository for the MDN Web Docs Learning Area, a collection of educational resources designed to teach core web development technologies. It contains the code examples referenced throughout MDN’s tutorials and articles, covering topics such as HTML, CSS, JavaScript, and web APIs. Each directory in the repository mirrors the module structure of the MDN Learning Area, allowing learners to follow along easily as they read through corresponding lessons. The examples are written to be simple, instructive, and directly aligned with MDN’s documentation, making it an ideal hands-on companion for web development education. ... -
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Flash Linux 0.11 Talk
Annotated Unix system source code
flash-linux0.11-talk is an annotated walkthrough of the Linux 0.11 kernel that explains how a tiny Unix-like system boots, schedules, handles interrupts, and manages memory. The materials break down historically compact and dense code into digestible segments, with diagrams and call flows that trace execution from bootloader to user space. By focusing on a small, early kernel, the series reveals core OS concepts without the complexity of modern subsystems. It highlights how segmentation and paging cooperate, how system calls are dispatched, and how context switches and signals work in practice. ... -
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Build your own X
Master programming by recreating your favorite technologies
build-your-own-x is a massive, community-curated roadmap of hands-on tutorials that teach you to re-implement complex systems from scratch—things like databases, compilers, operating systems, interpreters, web servers, neural networks, regex engines, and more. Rather than offering abstract theory, it organizes step-by-step guides by topic and by programming language, so you can pick a project that fits your stack and skill level. The focus is on demystifying internals: you don’t just use a... -
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The Magic of CSS
A CSS course to turn you into a magician
...The repository is designed to go beyond basic CSS tutorials, teaching how to harness the language for complex, responsive, and visually appealing designs. Each lesson is supported by examples and code that demonstrate real-world use cases. The project emphasizes both the technical and creative potential of CSS, showing how small details can greatly improve user experience. It has become a valuable reference for developers aiming to deepen their front-end skills. -
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LeetCode Animation
Demonstrate all the questions on LeetCode in the form of animation
...The goal of the project is to help learners understand complex algorithmic concepts intuitively by showing step-by-step animated explanations instead of relying solely on static code or text. Each animation corresponds to a specific problem and illustrates how data structures and algorithms operate dynamically, making it easier to grasp their underlying logic. The project also includes a curated set of 40 problems from the “Sword Pointing to Offer” series—commonly asked in technical interviews—accompanied by detailed analyses and visual breakdowns. ... -
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Google Open Source Project Style Guide
Chinese version of Google open source project style guide
Each larger open source project has its own style guide, a series of conventions on how to write code for the project (sometimes more arbitrary). When all the code maintains a consistent style, it is more important when understanding large code bases. easy. The meaning of "style" covers a wide range, from "variables use camelCase" to "never use global variables" to "never use exceptions". The English version of the project maintains the programming style guidelines used in Google. ... -
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Edpuzzle Answers
A Javascript bookmarklet that can get the answers for Edpuzzle
Edpuzzle Answers is a JavaScript-based bookmarklet and script toolkit designed to interact with Edpuzzle assignments by automating video playback and extracting answer data from embedded questions. It operates directly within the browser, requiring no installation beyond saving the bookmarklet, and injects code into the active Edpuzzle page to modify its behavior in real time. The tool can retrieve answers for multiple-choice questions, automate responses, and adjust playback settings, effectively streamlining the completion of assignments. It also includes functionality to skip video segments and prevent interruptions such as auto-pausing when switching tabs. ... -
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rust-by-practice
Challenging examples, exercises and projects
...The repository aggregates explanations, example code, and interactive practice so that learners build both conceptual understanding and muscle memory writing idiomatic Rust. It’s especially valuable for developers transitioning from other languages who want to truly grok Rust’s unique safety model and performance mindset, because the exercises force you to confront common pitfalls and solutions firsthand. -
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ML for Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
...It emphasizes ethical considerations and model evaluation—accuracy is not the only metric—so students learn to validate and communicate results responsibly. By the end, participants can build end-to-end ML experiments, interpret outputs, and iterate with confidence rather than just copying code. -
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LeetCode Book
Comprehensive study guide for coding interviews
...Explanations are concise but intentional, highlighting why a pattern fits, how to reason about boundary cases, and the time/space trade-offs. Many entries include template code and “swap-in” variations, helping you recognize how the same technique adapts across similar problems. The book also emphasizes problem-solving habits like deriving invariants, choosing appropriate data structures, and verifying with small counterexamples. It’s suitable for newcomers building fundamentals and for experienced engineers polishing timing and correctness under interview pressure. -
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JupyterQuiz
An interactive Quiz generator for Jupyter notebooks and Jupyter Book
JupyterQuiz is a tool for displaying interactive self-assessment quizes in Jupyter notebooks and Jupyter Book. Important Note for JupyterLab 4 Users: Changes to the math rendering system in JupyterLab 4 have broken the LaTeX rendering in JupyterQuiz. There is not currently a simple solution, but I have opened an issue requesting that the necessary methods be made available. Math should still work in Jupyter Book. A very hacky solution is available in version 2.7.0a1, which loads MathJax 3 on... -
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rustlings
Small exercises to get you used to reading and writing Rust code
This project contains small exercises to get you used to reading and writing Rust code. This includes reading and responding to compiler messages! Alternatively, for a first-time Rust learner, there are several other resources, like The Book, which is the most comprehensive resource for learning Rust, but a bit theoretical sometimes. You will be using this along with Rustlings! And also, Rust By Example, to learn Rust by solving little exercises! -
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Mall Learning
Tutorial and sample-code repository
...For each topic it provides sample code, explanations of why design decisions were made, trade-offs and how to implement real-world features like search, caching, delayed messaging, file storage. It’s aimed at developers who want to understand how to build scalable e-commerce systems rather than just copy-paste modules. With clearly organized “tiny” modules (mall-tiny-01 etc) the repo supports step-by-step incremental learning. -
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AutoResearchClaw
Autonomous research from idea to paper. Chat an Idea. Get a Paper 🦞
...Built in Python, it orchestrates a multi-stage research pipeline that gathers literature, formulates hypotheses, runs experiments, analyzes results, and writes the final paper. The system retrieves real academic references from sources such as arXiv and Semantic Scholar to ensure credible citations. It can automatically generate code for experiments, run them in a sandbox environment, and analyze the results with statistical methods. The platform also uses multi-agent debate and automated peer review processes to refine research findings and improve paper quality. By combining literature discovery, experimentation, and writing automation, AutoResearchClaw aims to turn research ideas into conference-ready papers with minimal human intervention. -
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Aprendiendo React
A course to learn React
...The README links each module to a corresponding YouTube class, covering topics such as React basics, hooks like useState and useEffect, data fetching and custom hooks, advanced hooks (useRef, useMemo, useCallback, useContext, useReducer, useId), routing, lazy loading, and React with TypeScript. The code is organized into a projects workspace, managed with pnpm and TypeScript configuration files, reflecting how modern React apps are actually structured in production. In practice, you learn by following the classes and then exploring or modifying the corresponding project folders, so the repo works as both reference code and a playground. ... -
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nanoGPT
The simplest, fastest repository for training/finetuning models
NanoGPT is a minimalistic yet powerful reimplementation of GPT-style transformers created by Andrej Karpathy for educational and research use. It distills the GPT architecture into a few hundred lines of Python code, making it far easier to understand than large, production-scale implementations. The repo is organized with a training pipeline (dataset preprocessing, model definition, optimizer, training loop) and inference script so you can train a small GPT on text datasets like Shakespeare or custom corpora. It emphasizes readability and clarity: the training loop is cleanly written, and the code avoids heavy abstractions, letting students follow the architecture step by step. ...
