Search Results for "git:/git.code.sf.net/p/docfetcher/code" - Page 3
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Showing 593 open source projects for "git:/git.code.sf.net/p/docfetcher/code"
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Run applications fast and securely in a fully managed environmentRun frontend and backend services, batch jobs, deploy websites and applications, and queue processing workloads without the need to manage infrastructure.
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Get full visibility and control over your tasks and projects with Wrike.Wrike offers world-class features that empower cross-functional, distributed, or growing teams take their projects from the initial request stage all the way to tracking work progress and reporting results.
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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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Rust Training Books
Beginner, advanced, expert level Rust training material
...It is designed to guide learners from basic concepts such as ownership and borrowing to more advanced topics like concurrency, performance optimization, and system-level programming. 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. ... -
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The Data Engineering Handbook
Links to everything you'd ever want to learn about data engineering
The Data Engineering Handbook is a comprehensive, community-curated repository that aggregates essential learning resources for anyone interested in becoming a professional data engineer. Rather than being a code project itself, it’s a learning handbook that links to books, articles, tutorials, community groups, boot camps, and real-world project examples that collectively form a roadmap to mastering data engineering skills. It includes beginner and intermediate boot camps, interview guides, data cleaning and transformation resources, and curated lists of newsletters and industry communities, making it useful both for self-study and technical interview preparation. ... -
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jQuery Tips Everyone Should Know
A collection of tips to help up your jQuery game
...For developers who still maintain or build projects using jQuery — especially those working on older codebases or needing cross-browser compatibility — this resource helps avoid subtle bugs, improve maintainability, and write cleaner, more predictable code. -
Creatio Low-Code Development PlatformIntelligent low-code platform to empower both IT and non-IT staff to effortlessly build enterprise-grade apps and processes
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5
CSS Reference
Fee visual guide to the most popular CSS properties
...It favors clarity and progressive learning, moving from simple cases to more nuanced behavior and interactions between properties. Because it is written with learners in mind, the explanations are short, visual, and paired with minimal code you can copy and adapt. It’s a useful companion for day-to-day front-end work, code reviews, or quick refreshers before tackling complex layouts. -
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SwiftLint
A tool to enforce Swift style and conventions
...You might want to move your SwiftLint phase directly before ‘Compile Sources’ step, to detect errors quickly before compiling. However, SwiftLint is designed to run on valid Swift code that cleanly completes the compiler’s parsing stage. So running SwiftLint before ‘Compile Sources’ might yield some incorrect results. SwiftLint hooks into SourceKit so it continues working even as Swift evolves! This also keeps SwiftLint lean, as it doesn’t need to ship with a full Swift compiler, it just communicates with the official one you already have installed on your machine. -
7
os-tutorial
How to create an OS from scratch
...The repository provides step-by-step lessons starting with bootloaders and moving through kernel development, interrupts, memory management, and system calls. Each tutorial is accompanied by clear explanations, code examples, and references to deepen understanding. The project uses x86 assembly and C to illustrate concepts, making it accessible to students and hobbyists interested in low-level programming. By compiling and running the examples with tools like QEMU, learners gain hands-on experience with OS fundamentals. With its structured lessons and approachable explanations, the repository has become a widely recommended resource for operating system beginners. -
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This repository provides a set of hands-on CSS exercises that accompany the HTML and CSS modules in The Odin Project curriculum. The tasks are designed to be completed at specific points in the course, reinforcing each concept right after it is introduced. Learners are encouraged to use documentation and external resources freely, reflecting real-world workflows rather than rote memorization. Each exercise focuses on practical styling problems, from selectors and specificity to layout...
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9
Monolog
Sends logs to files, sockets, inboxes, databases and web services
...Internally Monolog still uses its own level scheme since it predates PSR-3. Tidelift delivers commercial support and maintenance for the open source dependencies you use to build your applications. Save time, reduce risk, and improve code health, while paying the maintainers of the exact dependencies you use. Monolog 1.x support is somewhat limited at this point and only important fixes will be done. You should migrate to Monolog 2 where possible to benefit from all the features. -
Information Security Made Simple and Affordable | CarbideGet expert guidance and smart tools to launch or level up your security and compliance efforts without the complexity.
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10
Reinforcement Learning Course Materials
Lecture notes, tutorial tasks including solutions
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University. The source code for the entire course material is open and everyone is cordially invited to use it for self-learning (students) or to set up their own course (lecturers). -
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ktrain
ktrain is a Python library that makes deep learning AI more accessible
...Inspired by ML framework extensions like fastai and ludwig, ktrain is designed to make deep learning and AI more accessible and easier to apply for both newcomers and experienced practitioners. With only a few lines of code, ktrain allows you to easily and quickly. ktrain purposely pins to a lower version of transformers to include support for older versions of TensorFlow. If you need a newer version of transformers, it is usually safe for you to upgrade transformers, as long as you do it after installing ktrain. As of v0.30.x, TensorFlow installation is optional and only required if training neural networks. -
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JavaGuide-Interview
A study for technical interviews focused on Java
...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 questions, often pairing concise explanations with diagrams or sample code. Checklists, topic maps, and links help learners plan a study path rather than passively reading. It is widely used by students and working engineers to systematize preparation and build confidence before on-sites or coding screens. -
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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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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. ... -
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Web Dev for Beginners
About 24 Lessons, 12 Weeks, Get Started as a Web Developer
...The course also offers global accessibility with translations in more than 40 languages and built-in support for running in GitHub Codespaces or locally in Visual Studio Code. This makes it a practical and engaging way for beginners to gain a solid foundation in web development. -
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AI Researcher
An autonomous AI researcher
...It orchestrates agents that can generate research questions, perform literature reviews, execute experiments, analyze results, and synthesize findings into structured outputs like reports or code. Each agent operates with clear roles — such as researcher, analyst, and summarizer — and they communicate through a task-management interface that ensures progress tracking and iterative refinement. The system emphasizes modularity, so teams can swap in new reasoning modules, data retrieval strategies, or domain knowledge bases depending on the research topic. ... -
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Realtime Chat Application
Build and deploy a real time chat application
This full-stack tutorial project shows how to build and deploy a real-time chat app using React on the client and Node/Express with Socket.io on the server. It covers the mechanics of establishing WebSocket connections, broadcasting and receiving messages, and maintaining active user rooms. The repository includes scripts and instructions to spin up both client and server quickly so you can experiment locally. It illustrates common patterns like event-driven messaging, joining/leaving rooms,... -
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Python Core 50 Courses
Structured learning path that organizes Python fundamentals
...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. Each lesson favors hands-on examples and short exercises so learners can immediately apply new concepts in code. Later sections typically touch on practical topics such as file I/O, error handling, regular expressions, and simple networking, giving learners a toolbox for everyday scripts and utilities. The material aims to be beginner-friendly while still building habits that matter in real projects, like writing readable functions and testing logic. ... -
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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. ... -
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PythonPark
Python open source project "The Road to Self-Study Programming"
PythonPark is a large, curated “learning playground” for Python — essentially a comprehensive self-study meta-repository aimed at helping learners progress in Python programming, data science, machine learning, web scraping, and software engineering practices. It aggregates tutorials, learning guides, project examples, and resources across topics: from Python basics and data structures to machine learning, web scraping, and even interview preparation and “programmer life” guidance. Because... -
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Scientific Visualization
An open access book on scientific visualization using python
The Scientific Visualization book is a freely available open-access textbook that introduces how to produce effective scientific visualizations using Python, focusing especially on leveraging the popular plotting library Matplotlib (and related tools). It goes beyond simple plotting tutorials and emphasizes design principles: how to choose colors, layout subplots, annotate graphs, and present data in a way that is both accurate and visually compelling. As such, it serves as a guide for... -
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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 that fit their hardware and budgets. The materials also cover inference optimization and quantization to make serving LLMs feasible on commodity GPUs or even CPUs, which is crucial for side projects and startups. ... -
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Recommenders
Best practices on recommendation systems
...Independent or incubating algorithms and utilities are candidates for the contrib folder. This will house contributions which may not easily fit into the core repository or need time to refactor or mature the code and add necessary tests. -
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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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CodeCampus
CodeCampus is a learning-first Linux OS for CSE and IT students
CodeCampus OS is a custom Linux distribution based on Ubuntu 24, designed for beginner developers, computer science students, and self-learners who want to start coding without friction. Unlike traditional setups that require hours of installation and configuration, CodeCampus provides a fully pre-configured, learning-first environment right out of the box. From the moment you boot, everything is ready—so you can focus on learning, experimenting, and building instead of...
