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Showing 1904 open source projects for "java projects on linux"
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Web Dev for Beginners
About 24 Lessons, 12 Weeks, Get Started as a Web Developer
Web-Dev-For-Beginners is Microsoft’s open source, project-based curriculum for learning web development from scratch. Designed as a 12-week, 24-lesson course, it covers HTML, CSS, and JavaScript fundamentals through hands-on projects like terrariums, browser extensions, and space games. Each lesson includes a mix of pre-lecture quizzes, written content, assignments, challenges, and post-lecture quizzes to reinforce learning. The course also offers global accessibility with translations in... -
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The Magic of CSS
A CSS course to turn you into a magician
Magic of CSS is an open source educational project by Adam Schwartz that explores advanced CSS concepts through practical lessons. It is structured as a series of chapters that cover topics like the box model, layouts, positioning, typography, and animations. 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... -
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Docker-Zero-to-Hero
Repo to learn Docker with examples
Docker-Zero-to-Hero is a teaching repository focused on learning Docker via explanations and concrete examples rather than just a dry reference. 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... -
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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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Computational Thinking
Introduction to computational thinking with Julia
Computational Thinking is an open source MIT course repository that teaches computational problem-solving through the Julia programming language. The course integrates mathematics, computing, and real-world applications into a unified curriculum, making it suitable for students across science, engineering, and data-driven fields. It emphasizes learning how to translate problems into computational terms and developing algorithms and models to analyze them effectively. Using Julia, the course... -
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Software Design in Haskell
Software Design in Haskell
This repository accompanies a comprehensive guide to building large, maintainable Haskell systems, focusing on architecture, modularity, and practical design techniques. It presents patterns for separating pure domain logic from side effects, organizing code into layers and components that can be tested in isolation. Readers encounter multiple styles—MTL/typeclass constraints, tagless-final encodings, free and freer monads, ReaderT-style application environments—and learn when to apply each.... -
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JavaGuide-Interview
A study for technical interviews focused on Java
JavaGuide-Interview is a comprehensive study companion for technical interviews with a strong focus on the Java ecosystem. It organizes material across language fundamentals, collections, concurrency, JVM internals, and hot frameworks such as Spring and MyBatis. Beyond Java, it includes databases, computer networks, operating systems, distributed systems, and common algorithmic topics to mirror real interview scopes. The notes emphasize high-value concepts, pitfalls, and frequently asked... -
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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... -
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First Contributions
Help beginners to contribute to open source projects
The first-contributions repository is a community-driven project designed to simplify and guide beginners through their very first open source contribution. Many new developers find the Git workflow intimidating, so this project provides a safe, structured, and supportive way to practice without fear of mistakes. It includes step-by-step tutorials that walk contributors through the process of forking a repository, making changes, and submitting a pull request. The repository is translated... -
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Aprendiendo React
A course to learn React
Aprendiendo React is a project-based React course repository aimed at teaching React from scratch in Spanish, with a strong emphasis on building real applications. 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... -
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Marksheet
Free tutorial to learn HTML and CSS
MarkSheet is a beginner-friendly curriculum for learning HTML and CSS from first principles, organized as a readable online handbook. It explains core building blocks—elements, attributes, selectors, the box model, positioning—and connects them to the mental models needed for real layouts. The writing style aims to demystify jargon and teach a consistent vocabulary so learners can understand documentation and tutorials elsewhere. It includes diagrams and compact examples that illustrate... -
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LeetCode Animation
Demonstrate all the questions on LeetCode in the form of animation
LeetCodeAnimation is an educational open source project by MisterBooo that visually demonstrates algorithm problems from LeetCode through animations. 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... -
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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... -
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rust-by-practice
Challenging examples, exercises and projects
rust-by-practice is a hands-on, exercise-oriented learning resource for the Rust programming language that takes users beyond theory into real code challenges and practical patterns. Rather than simply listing Rust syntax or language features, it structures its content around progressively complex problems, each designed to illustrate a core Rust concept such as ownership, borrowing, lifetimes, traits, concurrency, zero-cost abstractions, and safe systems programming idioms. The repository... -
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CodeWorld
Educational computer programming environment using Haskell
CodeWorld is an educational programming environment that uses a Haskell-inspired language to teach computational thinking through graphics and interactive animation. The web-based IDE provides immediate visual feedback: students write code that draws shapes, composes pictures, and responds to events to build simple games and simulations. Its API emphasizes mathematics and geometry rather than low-level UI details, making it approachable for classrooms and self-learners. Projects run in the... -
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DevOps for Beginners
Learn Docker, Kubernetes, Terraform, Ansible, Jenkins and Azure Devops
DevOps Master Class is a comprehensive educational repository that teaches the fundamentals of DevOps practices and tools through hands-on examples. It covers key technologies such as Docker, Kubernetes, Terraform, Ansible, Jenkins, and cloud platforms like AWS and Azure. The course is structured to guide beginners from zero experience to building and deploying real-world applications. It emphasizes practical learning through exercises involving containerization, orchestration, and... -
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jQuery Tips Everyone Should Know
A collection of tips to help up your jQuery game
The jQuery Tips Everyone Should Know repository is a community-maintained compendium of useful tips, tricks, and best-practices for using the venerable jQuery library effectively. Instead of treating jQuery as a black-box tool, the repo surfaces practical advice: from how to handle events more reliably, to proper ways of manipulating the DOM, optimizing performance (e.g. caching selectors), and dealing with common patterns like AJAX, dynamic elements, error handling, and more. For developers... -
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Stanza
Stanford NLP Python library for many human languages
Stanza is a collection of accurate and efficient tools for the linguistic analysis of many human languages. Starting from raw text to syntactic analysis and entity recognition, Stanza brings state-of-the-art NLP models to languages of your choosing. Stanza is a Python natural language analysis package. It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of... -
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LLM Course
Course to get into Large Language Models (LLMs)
LLM Course is a hands-on, notebook-driven path for learning how large language models work in practice, from data curation to training, fine-tuning, evaluating, and deploying. It emphasizes reproducible experiments: each step is demonstrated with runnable code, clear dependencies, and references to commonly used open-source models and libraries. Learners get exposure to multiple adaptation strategies—LoRA/QLoRA, instruction fine-tuning, and alignment techniques—so they can choose approaches... -
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Roadmap To Learn Generative AI In 2025
Basic Machine Learning Natural Language Processing Roadmap
Roadmap To Learn Generative AI In 2025 is a curated learning path focused on contemporary generative AI — covering large language models (LLMs), diffusion-based image generation, prompt engineering, multi-modal AI, fine-tuning techniques, and the practical considerations for deploying generative models. It’s aimed at learners and developers who already have some programming or ML basics and wish to specialize in generative AI, offering a modern, structured plan that reflects the state of the... -
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Java Tutorial
A Java Tutorial by examples
Learn Java by writing real and usefull small applications. This tutorial teach you not only the language; documentation, bug-fixing and simple version control are also faced. The tutorial is in italian language. -
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IntelliJ-IDEA-Tutorial
Tutorial repository focused on teaching IntelliJ IDEA
IntelliJ-IDEA-Tutorial is a Simplified Chinese tutorial repository focused on teaching IntelliJ IDEA and related JetBrains IDEs. It covers installation, first-run setup, interface configuration, themes, fonts, file encoding, project concepts, shortcuts, debugging, refactoring, Maven usage, version control, templates, database tools, and plugin recommendations. The guide supports multiple versions of IntelliJ IDEA and also includes related JetBrains tools such as WebStorm, PhpStorm, PyCharm,... -
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Java Modelling Tools is a suite of scientific tools for performance analysis and modelling using queueing theory and colored stochastic Petri nets. Models are solved either with analytical, asymptotic or simulation methods; workload characterization tools are also included in the suite. See the project website for more details: http://jmt.sf.net
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JQM Java Quine McCluskey
JQM - Java Quine McCluskey for minimization of Boolean functions.
Java Quine McCluskey (JQM) implements the Quine-McCluskey algorithm with Petrick’s Method for minimizing Boolean functions. Designed for both education and industrial application, it handles up to 16 variables and functions. Uniquely, JQM bridges the gap between theory and practice: it visualizes the solution process with generated Karnaugh Maps for students, while supporting PLC engineers by exporting results to Structured Text (ST) and Ladder Diagram (LD). The software includes a GUI for... -
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Re-learning Java Design Patterns
Design-pattern learning project based on "Relearning Java Design"
Re-learning Java Design Patterns is a Java design-pattern learning project based on the book Relearning Java Design Patterns. Instead of presenting design patterns as abstract theory, it teaches them through practical internet business scenarios. The repository includes examples drawn from transactions, marketing, flash-sale systems, middleware, source-code analysis, and other real development contexts. Its goal is to show how design patterns solve concrete engineering problems rather than...