Search Results for "jd-core"
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Showing 118 open source projects for "jd-core"
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Gemini 3 and 200+ AI Models on One PlatformBuild, govern, and optimize agents and models with Gemini Enterprise Agent Platform.
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Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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Python Core 50 Courses
Structured learning path that organizes Python fundamentals
Python-Core-50-Courses is a structured learning path that organizes Python fundamentals into 50 digestible lessons designed for steady, incremental progress. The curriculum starts with the basics—syntax, variables, data types, and control flow—then advances to functions, modules, object-oriented programming, and common standard-library utilities. -
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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. The repository covers topics such as naming conventions, code structure, error handling, and design patterns, emphasizing readability and long-term maintainability. ... -
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REKCARC-TSC-UHT
Guidance for courses in Department of Computer Science and Technology
This repository is a mirrored, community-curated set of study materials for Tsinghua University’s Department of Computer Science and Technology (the name reads like “THU-CST” reversed). It gathers course notes, labs, exam archives, and project write-ups across core CS topics, emphasizing reproducible setups and guidance for succeeding in demanding classes. The content is organized to mirror the program’s progression so students can see prerequisites and plan learning paths. Contributors document pitfalls and tips that official syllabi may not cover, such as tooling quirks or typical grading criteria. ... -
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Rust Training Books
Beginner, advanced, expert level Rust training material
...The material emphasizes hands-on learning, encouraging users to actively write and experiment with code rather than passively reading documentation. It reflects Rust’s core philosophy of safety and performance, helping developers understand how to write efficient and memory-safe applications. The repository is organized in a modular way, allowing learners to progress step by step while reinforcing concepts through exercises and real-world scenarios. It is suitable for both beginners transitioning from other languages and experienced developers seeking deeper understanding of Rust’s unique paradigms. -
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Megatron-LM
Ongoing research training transformer models at scale
Megatron-LM is a GPU-optimized deep learning framework from NVIDIA designed to train extremely large transformer-based language models efficiently at scale. The repository provides both a reference training implementation and Megatron Core, a composable library of high-performance building blocks for custom large-model pipelines. It supports advanced parallelism strategies including tensor, pipeline, data, expert, and context parallelism, enabling training across massive multi-GPU and multi-node clusters. The framework includes mixed-precision training options such as FP16, BF16, FP8, and FP4 to maximize performance and memory efficiency on modern hardware. ... -
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Elixir Koans
Elixir learning exercises
...Inspired by the style of koans used in other programming communities, it provides incomplete code snippets and failing tests that learners must solve to progress. Each exercise builds on the previous one, gradually introducing core concepts such as pattern matching, recursion, processes, and concurrency in Elixir. By debugging and filling in missing pieces, users gain practical, hands-on experience while reinforcing theoretical knowledge. The project is ideal for both complete beginners and developers transitioning from other languages who want to learn Elixir in a structured, exploratory way. ... -
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DSA Bootcamp Java
This repository consists of the code samples, assignments, and notes
DSA Bootcamp Java is an open source educational repository created by Kunal Kushwaha to teach Data Structures and Algorithms (DSA) using Java. It is designed as a structured bootcamp, covering fundamental concepts to advanced problem-solving techniques. The project provides explanations, exercises, assignments, and practice problems, making it useful for both beginners and intermediate learners who want to strengthen their Java and algorithmic skills. The repository is organized into... -
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Hello JavaScript
Course repository designed to teach JavaScript from scratch in Spanish
hello-javascript is a comprehensive course repository designed to teach JavaScript from scratch in Spanish, pairing source code with hours of video content and hundreds of exercises. It covers the JavaScript language core, from variables and control flow to functions, objects, arrays, and modern ECMAScript features. The project also touches the browser and Node.js ecosystems so learners can understand both client and server contexts. Exercises and lesson organization make it easy to follow along, practice, and review concepts as you go. The repository is openly licensed and structured so you can clone it, experiment locally, and track your learning progress. ... -
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You Don't Know JS Yet
A book series (2 published editions) on the JS language.
You-Dont-Know-JS is a renowned book series by Kyle Simpson that delves deeply into the inner workings and foundational principles of the JavaScript language. The repository hosts the second edition of the series, which continues the author’s mission to help developers understand JavaScript beyond surface-level syntax and frameworks. Each book focuses on specific language mechanisms—such as scope, closures, objects, and types—providing a rigorous exploration of how JavaScript actually... -
Application Monitoring That Won't Slow Your App DownFull APM with errors, performance, logs, and uptime monitoring. 99.999% uptime SLA on the platform itself.
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Docker-Zero-to-Hero
Repo to learn Docker with examples
...It starts by explaining what containers are in plain language, then compares containers vs virtual machines in terms of resource utilization, portability, security, and management. The README and supporting markdown files (commands.md, networking.md, volumes.md) walk through core Docker concepts like images, containers, networking, and persistent storage. Examples in the examples folder give you hands-on workloads to run so you can see how Docker behaves in real scenarios. The style is beginner-friendly and frequently uses analogies and screenshots to make abstract concepts more relatable, for instance contrasting the size of an Ubuntu container image to a full VM. ... -
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Archbase
Open source version of "Fundamentals of Computer Architecture"
...The name “archbase” suggests that it could be a baseline architecture or reference templates for projects, possibly spanning front-end, back-end, or full stacks. The repo likely provides starter code, directory structures, configuration files, core modules, and guidelines that enforce certain architectural conventions (e.g. MVC, layered architecture, plugin systems). It might include sample modules or example features to demonstrate how to build on the base architecture, showing how to extend, override, or integrate components in a consistent manner. Developers can clone or fork archbase as a starting point so they don’t need to structure everything from scratch, helping them focus on business logic. -
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JavaScript30
30 Day Vanilla JS Challenge
...It includes starter files and completed solutions for each daily project, covering a wide range of practical exercises like clocks, video players, geolocation apps, and more. The challenge avoids frameworks and libraries, focusing purely on core JavaScript. Each project introduces hands-on coding tasks that reinforce DOM manipulation, events, APIs, and browser features. The repository also encourages learners to share their own solutions and improvements, fostering a strong community around the challenge. With its incremental structure, it’s a popular resource for building confidence and fluency in JavaScript. -
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Kubernetes Handbook
Cloud native application architecture practice handbook
...Kubernetes is a container orchestration and scheduling engine developed by Google in June 2014 based on its internal Borg system. Google contributed it as an initial and core project to the CNCF (Cloud Native Computing Foundation). In recent years, it has gradually developed a cloud native Ecology. The goal of Kubernetes is to provide a specification to describe the architecture of the cluster. -
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Source Code Hunter
Source code analysis of Spring, MyBatis, Redis, Netty, and more
...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. The project aims to bridge the gap between theoretical knowledge and real-world application by providing step-by-step annotated explorations of core components in these frameworks. It’s a valuable resource for Java developers preparing for interviews, system design discussions, or those looking to strengthen their ability to read and learn from production-level code. -
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Coding Interview University
A complete computer science study plan to become a software engineer
...The author used this plan to transition into a Software Development Engineer role at Amazon and emphasizes that most learners will not need to study as many hours to succeed. The repository focuses on practical readiness over memorization, guiding you to learn core computer science topics to about a 75% depth that is sufficient for interviews. It outlines how to choose one primary programming language, recommends foundational books, and explains an effective daily routine of studying concepts then implementing them from scratch. The plan includes extensive topic coverage from algorithms and data structures to systems fundamentals, plus optional advanced areas for deeper growth. -
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Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
The Complete-Python-3-Bootcamp repository is an educational resource created by Pierian Data as part of their popular Python for Data Science and Machine Learning Bootcamp course. It contains a comprehensive collection of Jupyter Notebooks designed to teach Python programming from the ground up. The repository covers a wide range of Python topics, including data types, control flow, functions, object-oriented programming, error handling, modules, and advanced concepts like decorators and... -
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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. ... -
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Interviews
Comprehensive computer science and interview preparation guide
Interviews is an open source repository designed as a comprehensive guide to preparing for technical interviews, with a strong focus on computer science fundamentals and algorithmic problem solving. Created by Kevin Naughton Jr., the project compiles detailed notes, explanations, and code implementations that cover core areas tested in software engineering interviews. The repository emphasizes topics such as data structures, algorithms, system design, operating systems, databases, and networking. It also includes practical coding examples and solutions that demonstrate how to approach and solve common problems asked at companies like Google, Amazon, Facebook, and Microsoft. ... -
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ReactJS Interview Questions
List of top 500 ReactJS Interview Questions & Answers
ReactJS Interview Questions is a curated collection of over 500 commonly asked questions and answers about React and its ecosystem. The repository is designed as a preparation resource for developers preparing for interviews involving React, Redux, React Router, React Native, and related JavaScript technologies. It covers a broad spectrum of topics, from the fundamentals of React components and state management to advanced concepts like hooks, performance optimization, and design patterns.... -
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33 JS Concepts
33 JavaScript concepts every developer should know
...The project was originally inspired by an article by Stephen Curtis and has since grown into a community-driven learning resource. It serves as a roadmap for developers to review and master core principles such as closures, promises, prototypes, event loops, and other critical topics. While not a strict curriculum, it provides a structured path for deeper study and practical learning. The repository also encourages contributions, including personal notes, recaps, and translations, making it accessible to developers worldwide. ... -
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LeetCode Book
Comprehensive study guide for coding interviews
LeetCode-Book is a comprehensive study guide for coding interviews that consolidates algorithm patterns, data-structure templates, and worked LeetCode solutions. It organizes problems by topic—arrays, linked lists, stacks/queues, trees/graphs, dynamic programming, greedy, backtracking, and math—so you can study systematically. 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... -
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Comprehensive Rust
This is the Rust course used by the Android team at Google
Comprehensive Rust is an open source training course developed by Google to provide a complete introduction to the Rust programming language. Originally created for Google engineers, it has since been released publicly for the broader developer community. The course is structured into modular lessons that cover the fundamentals of Rust, including ownership, lifetimes, traits, generics, and error handling, before progressing to advanced topics like concurrency, async programming, unsafe Rust,... -
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CS Self-Learning
Chinese-language CS self-learning guide with curated resources
cs-self-learning is a comprehensive, Chinese-language guide aimed at helping self-learners master computer science concepts. It provides a structured roadmap covering algorithms, operating systems, networks, databases, and more, with curated links to online courses, tutorials, and books. The project is especially useful for non-English speakers pursuing independent or supplemental learning in CS. -
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Countries
Laravel countries and currencies
...Amongst many other information, you'll be able to plot country maps. This package is not tied to Laravel and doesn't require it to be installed (we have a bridge for this purpose), but it has Laravel Collections in its core, all methods in Collections are available, this way you can do things like filter, map, reduce, search, sort, reject, and a lot more. It, actually, uses Coollection, which is Laravel Collections with a fluent syntax, allowing us to have access to array keys (and values) as object properties. -
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PocketFlow Tutorial Codebase Knowledge
Codebase to Tutorial
PocketFlow Tutorial Codebase Knowledge is a project that demonstrates how to build an AI agent capable of analyzing arbitrary codebases and generating beginner-friendly tutorials that explain how they work, turning complex source code into clear educational content. The repository builds on a lightweight 100-line LLM framework and uses natural language models to inspect repository structures, identify core abstractions, map dependencies, and articulate the reasoning behind code design and interactions. By crawling code files, extracting higher-level patterns, and using large language models to narrate explanations, the system aims to help developers — especially those new to a codebase — understand unfamiliar projects without manual deep reading. ...
