Open Source BSD Education Software - Page 5
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Education Software for BSD
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Hello Python
Comprehensive tutorial repository aimed at teaching the Python program
Hello-Python is a comprehensive tutorial repository aimed at teaching the Python programming language from scratch for beginners. It includes over 100 classes and about 44 hours of video instruction, combined with code samples, projects, and a chat community for support. The material covers the fundamentals—variables, data types, loops, functions—as well as intermediate topics like date handling, list comprehensions, file IO, regular expressions, modules, and packages. The course is designed to be accessible: no prior programming experience required, and the resources are freely available. In addition, it is accompanied by a practical coding approach (projects) and is maintained as an open-source repository under Apache-2.0 license. It’s ideal for learners who want structured content, hands-on practice, and community guidance to build their Python skills. -
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Rust Training Books
Beginner, advanced, expert level Rust training material
Rust Training Books is a comprehensive educational repository created to teach developers the Rust programming language through structured lessons, exercises, and practical examples. 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. 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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Steam Deck Guide
Learn all about the Tools, Accessories, Games, Emulators
The Steam Deck Guide repository is a community-driven resource aimed at helping users get the most out of their Valve Steam Deck — covering everything from initial configuration and system tweaks to performance optimization, emulation workflows, game compatibility, and hardware customization. It begins with basic setup topics like installing updates, connecting peripherals, and configuring SteamOS settings, then progresses into intermediate skills such as managing storage, optimizing battery life, and fine-tuning performance profiles for demanding titles. Beyond official support scenarios, the guide dives into enthusiast territory: installing alternative operating systems (e.g., Linux distributions), setting up emulation for classic consoles, integrating game launchers outside the Steam ecosystem, and tweaking graphics drivers or Proton compatibility layers. -
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The Art of Programming
A collection of practical tips can be found at the bottom of this page
The Art of Programming (Second Edition) is a curated collection of programming problems and solutions originally derived from the Microsoft 100 Interview Questions blog series, later refined into a long-running tutorial and ultimately a published book. Created by July, the series began in 2010 and has since evolved into an in-depth exploration of algorithmic thinking, data structures, and coding interview preparation. The repository brings together 42 classic programming problems from the original series, enhanced with detailed explanations, formula derivations, and optimized solutions. In July 2023, work on the second edition was announced, which expands the project with updated content, new problems inspired by recent big-tech interviews, and introductions to modern machine learning techniques such as XGBoost, CNNs, RNNs, and LSTMs. This collection serves both as a historical record of algorithm problem-solving and as a living resource for programmers preparing for interviews. -
Build experiences that drive engagement and increase transactionsSendbird's chat, voice, and video APIs power conversations and communities in hundreds of the most innovative apps and products. Sendbird’s feature-rich platform, and pre-fab UI components make developers more productive. We take care of a ton of operational complexity under the hood, so you can power a rich chat service, and life-like voice, and video experiences, and not worry about features, edge cases, reliability, or scale.
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OpenTeacher is an opensource application that helps you learn a foreign language vocabulary. Just enter some words in your native and foreign language, and OpenTeacher tests you.
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A symbolic framework for C++, Python and Octave implementing automatic differentiation by source code transformation in forward and reverse modes on sparse matrix-valued computational graphs.
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xoscope is a digital oscilloscope using input from a sound card or EsounD and/or a ProbeScope/osziFOX and will soon support Bitscope hardware. Includes 8 signal displays, variable time scale, math, memory, measurements, and file save/load.
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*The Fedora repository project is no longer being maintained here. All current information can be found on the project wiki (https://wiki.lyrasis.org/display/FF/Fedora+Repository+Home)* Fedora is an open-source software to ensure durability and integrity of digital content, use semantics to contextualize and inter-relate content from many sources, and to enable the creation of innovative, collaborative information spaces.
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ATutor (Learning Management System)
Standards Compliant Learning Management System
ATutor is an Open Source Web-based Learning Management System (LMS), designed with accessibility and adaptability in mind. Author interoperable e-learning content, provides social networking, and adheres to standards. Put your courses online. -
anny is an all-in-one platform for managing hybrid workplaces and shared resources.Enable your employees to easily book desks, meeting rooms, parking spots, equipment, and more – all in one place. With flexible rules and group permissions, you stay in full control of who can access what.
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JChart2D
jchart2d is a real-time charting library written in java.
JChart2D is a easy to use component for displaying two- dimensional traces in a coordinate system written in Java. It supports real-time (animated) charting, custom trace rendering, Multithreading, viewports, automatic scaling and labels. Former UI controls (right click context menu, file menu) have been ported to the subproject jchart2d-uimenu (https://sourceforge.net/projects/jchart2d-uimenu.jchart2d.p/) for the benefit of having no dependencies to 3rd party libraries. -
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Wordcorr
Data management for comparative linguistics
Wordcorr automates the tedious and risky process of tabulating and managing the sound correspondences used in working out the historical development of natural languages. Initial support was from NSF. -
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ILIAS is a web base learning management system (LMS, VLE). Features: Courses, SCORM 1.2 and 2004, mail, forum, chat, groups, podcast, file sharing, authoring, CMS, test, wiki, personal desktop, LOM, LDAP, role based access, see http://www.ilias.de/
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Strong Java Chess Engines Game
SJCE - free portable cross-platform graphical chess game, 100% Java.
SJCE - Strong Java Chess Engines, free portable cross-platform graphical chess game, 100%-pure Java. Support with including many best free/open-source java xboard/uci chess engines. It is possible to play both White and Black. It is possible to play Human to Human, Human vs Engine, Engine vs Engine. Simple and intuitive GUI - Graphical User Interface. Tested on Windows/Linux. Need jre1.8 - https://www.oracle.com/java/technologies/javase/javase8-archive-downloads.html. Source - https://github.com/harp077/sjce If you like this - put a star on https://github.com/harp077/sjce/ for support project please. -
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KingJamesPureBibleSearch
GUI Application to Search and Count the Pure King James Bible
Study and analyze the Fingerprint of God in the mathematical structure, known as the King James Code, of the King James text of the Holy Bible. Allows instant real-time searches, with an autocompleter droplist to assist with words which come next. Jump to specific words, verses, or chapters by number, and see all possible count statistics of phrases within the text. Graphically visualize search results, cross-reference sources and word lexicons, and search foreign translations derived from the same Divine Masoretic/Textus Receptus Vine of Scripture. For more info and downloads, see http://www.purebiblesearch.com/ For details on the King James Code, see http://visitbethelchurch.com/ -
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The archive-crawler project is building Heritrix: a flexible, extensible, robust, and scalable web crawler capable of fetching, archiving, and analyzing the full diversity and breadth of internet-accesible content.
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CompPad is a LibreOffice extension that provides live mathematical and engineering calculations within a Writer document. It is intended to provide a free / open-source alternative to Mathcad .
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A to Z of Networking for DevOps
Learn Networking from A to Z at one place with realtime examples
The A to Z of Networking for DevOps repository is a comprehensive, beginner-friendly guide designed to help DevOps practitioners and anyone new to networking understand core concepts through practical explanations and real-world examples. It structures networking fundamentals from basic IP addressing and subnetting all the way through modern container and cloud networking topics like Docker and Kubernetes, making it valuable for learners at different stages of their DevOps journey. The guide breaks topics down into clear, digestible markdown files that include simple definitions, common use cases, and essential command-line examples, which makes the material approachable even if you are just starting out. It covers the full stack of networking concerns, such as DNS, HTTP/S protocols, load balancing, firewalls, VPNs, proxies, CDNs, and more, all with a practical orientation toward how these systems operate in real infrastructure. -
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DIO Lab
Repository for "Contributing to an Open Source Project on GitHub" lab
dio-lab-open-source is an educational repository created as part of the “Contributing to an Open Source Project” course offered by Digital Innovation One (DIO). The project serves as a practical learning environment where students can explore the fundamentals of contributing to open source software through GitHub. It provides hands-on experience with the Git workflow, including forking repositories, creating branches, submitting pull requests, and collaborating with other developers. The repository also emphasizes the role of Markdown in writing effective documentation, guiding learners on how to create clear, well-formatted text for README files and project guides. While Markdown is used for documentation and presentation, the course encourages students to complement it with proper debugging tools and language-specific development practices. Overall, this project functions as a stepping stone for beginners aiming to build confidence and competence in the real-world. -
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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 multiple modules that start with Java basics and gradually progress toward arrays, recursion, sorting, searching, linked lists, stacks, queues, trees, graphs, dynamic programming, and other advanced topics. It is a popular resource for students preparing for coding interviews, competitive programming, or computer science fundamentals. -
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Data Science Specialization
Course materials for the Data Science Specialization on Coursera
The Data Science Specialization Courses repository is a collection of materials that support the Johns Hopkins University Data Science Specialization on Coursera. It contains the source code and resources used throughout the specialization’s courses, covering a broad range of data science concepts and techniques. The repository is designed as a shared space for code examples, datasets, and instructional materials, helping learners follow along with lectures and assignments. It spans essential topics such as R programming, data cleaning, exploratory data analysis, statistical inference, regression models, machine learning, and practical data science projects. By providing centralized resources, the repo makes it easier for students to practice concepts and replicate examples from the curriculum. It also offers a structured view of how multiple disciplines—programming, statistics, and applied data analysis—come together in a professional workflow. -
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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 into multiple languages, making it accessible to a global audience and ensuring inclusivity for contributors around the world. Over the years, it has attracted thousands of contributors and serves as a popular entry point into the world of open source collaboration. Its impact lies not only in teaching GitHub workflows but also in fostering confidence, community spirit, and the habit of contributing to open source. -
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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. The commentary ties C and assembly listings back to architecture specifics, making the hardware–software interface concrete. For learners, it serves as a guided tour that builds intuition for operating system design and prepares them to tackle contemporary kernels with better mental models. -
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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. Megatron-LM is widely used in research and industry for pretraining GPT-, BERT-, T5-, and multimodal-style models, with tooling for checkpoint conversion and interoperability with Hugging Face. Overall, it is a production-grade system for organizations pushing the limits of large-scale language model training. -
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ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
This repository contains the second programming assignment for an R course, focused on caching expensive computations by leveraging R’s scoping rules. The assignment walks you through creating a special matrix object that stores both a matrix and its cached inverse, avoiding repeated calls to costly operations. It builds on a worked example that caches the mean of a numeric vector, demonstrating how the operator preserves state across function calls. You then implement analogous logic for matrices via two functions, one to construct the cache-aware object and another to compute or retrieve the cached inverse. The instructions emphasize using solve for inversion and assuming that the supplied matrix is always invertible. The repository outlines the workflow for forking, editing the provided R stub, committing your solution, and submitting your repository URL as the final deliverable. -
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Project Based Learning
Curated list of project-based tutorials
project-based-learning is a community-curated open source repository that compiles programming tutorials focused on building real-world applications from scratch. It organizes resources by programming languages such as Python, Java, JavaScript, C++, Go, Rust, and many others. Each tutorial emphasizes practical, hands-on learning through project development rather than theoretical study. The collection spans various domains including web development, game programming, systems programming, and machine learning. By following the projects, learners can strengthen problem-solving skills, gain experience with different technologies, and build portfolios. The repository grows with community contributions, making it a dynamic resource for developers at all levels.
