Open Source Mac Education Software - Page 9
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ACI Learning: Internal Audit, Cybersecurity, and IT TrainingTraditional training doesn't equip employees with the practical skills they need to drive business success. ACI Learning provides hands-on IT and cybersecurity training designed to build real-world, on-the-job skills. Our outcome-based programs empower employees with certification prep, industry-recognized credentials, and flexible learning options. With expert-led video training, labs, and scalable solutions, we help businesses, individuals, governments, and academic institutions develop a skilled workforce, align with business goals, and stay ahead in a rapidly evolving digital world.
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The Player Project: Player is a networked interface to robots and sensors. Stage and Gazebo are Player-friendly multiple-robot simulators. The software aims for POSIX compliance and runs on most UNIX-like OS's. Some parts also work on Windows.
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JSmol
JavaScript-Based Molecular Viewer From Jmol
JSmol is the extension of the Java-based molecular visualization applet Jmol (jmol.sourceforge.net) as an HTML5 JavaScript-only web app. It can be used in conjunction with the Java applet to provide an alternative to Java when the platform does not support that (iPhone/iPad) or does not support applets (Android). Used in conjunction with the Jmol JavaScript Object (http://wiki.jmol.org/index.php/Jmol_Javascript_Object), JSmol seamlessly offers alternatives to Java on these non-Applet platforms. JSmol can read all the files that Jmol reads. You can do all the scripting that Jmol does. You can create all the buttons and links and such that you are used to creating for Jmol. All of the rendering capability of the Jmol applet is there. JSmol has both a console and a popup menu. JSmol is integrated fully with JSME and JSpecView. A "lite" version of JSmol provides minimal functionality (balls and sticks only) for extremely small-bandwith apps. Released 1/12/2013 -
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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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Virtual T is a TRS-80 Model 100/102/200 emulator that runs on Windows, Linux, and Macintosh. The goal of Virtual T is to provide 100% hardware emulation so any existing programs will run. It also adds powerful development and debugging tools.
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ServiceDesk Plus, a world-class IT and enterprise service management platformBest in class online service desk software. Offer your customers world-class services with ServiceDesk Plus Cloud, the easy-to-use SaaS service desk software from ManageEngine, the IT management division of Zoho. Track and manage IT tickets efficiently, resolve issues faster, and ensure end-user satisfaction with the cloud-based IT ticketing system used by over 100,000 IT service desks worldwide. Manage the complete life cycle of IT incidents, problems, changes, and projects with out of the box ITIL workflows. Create support SLAs, define escalation levels, and ensure compliance. Automate ticket dispatch, categorization, classification, and assignment based on predefined business rules, and set up notifications and alerts for timely ticket resolution. Reduce walk ins and unnecessary tickets by giving your users more control. Enable end users to access IT services through your service catalog in the self-service portal. Help users create and track tickets and search for solutions.
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Geometry Dashboard
A project to create a simple Geometry Calculator
I apologize for this, but an accident occurred and all of my GeoDash work has been lost. No updates will be coming. To view all of the files available please click on the 'Browse All Files' link under the 'Big Green Download' button above this description. -
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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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Best-of Python
A ranked list of awesome Python open-source libraries
This curated list contains 390 awesome open-source projects with a total of 1.4M stars grouped into 28 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an issue, submit a pull request, or directly edit the projects.yaml. Contributions are very welcome! Ranked list of awesome python libraries for web development. Correctly generate plurals, ordinals, indefinite articles; convert numbers. Libraries for loading, collecting, and extracting data from a variety of data sources and formats. Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks. -
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Brain Tokyo Workshop
Experiments and code from Google Brain’s Tokyo research workshop
The Brain Tokyo Workshop repository hosts a collection of research materials and experimental code developed by the Google Brain team based in Tokyo. It showcases a variety of cutting-edge projects in artificial intelligence, particularly in the areas of neuroevolution, reinforcement learning, and model interpretability. Each project explores innovative approaches to learning, prediction, and creativity in neural networks, often through unconventional or biologically inspired methods. The repository includes implementations, experimental data, and supporting research papers that accompany published studies. Notable works such as Weight Agnostic Neural Networks and Neuroevolution of Self-Interpretable Agents highlight the team’s exploration of how AI can learn more efficiently and transparently. Overall, this repository serves as an open research hub for sharing ideas and advancing the understanding of intelligent systems. -
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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 tool, you build a working version of it, which naturally deepens your understanding of algorithms, protocols, and performance trade-offs. Categories include everything from graphics and cryptography to search engines and version control, making it a practical jumping-off point for portfolio pieces or study projects. Because most items are self-contained tutorials or repositories, you can progress incrementally and switch topics without losing momentum. -
Award-winning proxy networks, AI-powered web scrapers, and business-ready datasets for download.Bright Data is a leading data collection platform, enabling businesses to collect crucial structured and unstructured data from millions of websites through our proprietary technology. Our proxy networks give you access to sophisticated target sites using precise geo-targeting. You can also use our tools to unblock tough target sites, accomplish SERP-specific data collection tasks, manage and optimize your proxy performance as well as automating all of your data collection needs.
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CS Notes
Essential knowledge for technical interviews, Leetcode, and OS
CS-Notes is a comprehensive, community-driven collection of study materials and technical notes for computer science students and professionals. Created by CyC2018, the repository consolidates essential computer science topics, algorithm solutions, and interview preparation materials in one well-organized resource. It covers a broad range of subjects, including data structures, algorithms, operating systems, networks, databases, and Java development. The repository also includes sections on system design, distributed systems, caching, and message queues, providing practical knowledge relevant to software engineering interviews and real-world applications. In addition, it emphasizes code readability, clean coding practices, and proper documentation formatting. The notes follow the Chinese copywriting typesetting guidelines for improved readability, and the project employs consistent HTML-based image formatting to maintain a polished, uniform presentation across all documents. -
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Catalyst
Accelerated deep learning R&D
Catalyst is a PyTorch framework for accelerated Deep Learning research and development. It allows you to write compact but full-featured Deep Learning pipelines with just a few lines of code. With Catalyst you get a full set of features including a training loop with metrics, model checkpointing and more, all without the boilerplate. Catalyst is focused on reproducibility, rapid experimentation, and codebase reuse so you can break the cycle of writing another regular train loop and make something totally new. Catalyst is compatible with Python 3.6+. PyTorch 1.1+, and has been tested on Ubuntu 16.04/18.04/20.04, macOS 10.15, Windows 10 and Windows Subsystem for Linux. It's part of the PyTorch Ecosystem, as well as the Catalyst Ecosystem which includes Alchemy (experiments logging & visualization) and Reaction (convenient deep learning models serving). -
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Clojure Koans
A set of exercises for learning Clojure
Clojure Koans is a collection of exercises aimed at teaching the Clojure functional language by filling in tests to make them pass. Each “koan” gradually introduces key Lisp and Clojure concepts, from basic data structures to macros. It runs via leiningen or CLI tools, ideal for TDD learning and hands-on practice. -
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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 generators. In addition, it includes applied exercises in areas such as web scraping, working with APIs, and using Python libraries like NumPy, pandas, Matplotlib, and Seaborn for data analysis and visualization. Learners can progress from beginner-friendly basics to more advanced programming skills while reinforcing their knowledge with practice problems and projects. Because it mirrors the course content, this repository is widely used by students taking the Udemy course. -
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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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DeepSqueak
DeepSqueak Using Machine Vision to Accelerate Bioacoustics Research
Using Machine Vision to Accelerate Bioacoustics Research. -
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Django LMS
A learning management system using django web framework
django-lms is an open-source Learning Management System (LMS) built with Django and designed for ease of use and extensibility. It allows administrators to manage courses, lessons, quizzes, and users in an educational environment. The project includes a clean UI and backend tools to help educators create and track learning content. -
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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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Graphics Programming Black Book
Markdown source for Michael Abrash's Graphics Programming Black Book
This is the source for an ebook version of Michael Abrash's Black Book of Graphics Programming (Special Edition), originally published in 1997 and released online for free in 2001. Reproduced with blessing of Michael Abrash, converted and maintained by James Gregory. The version which Michael and Dr. Dobbs released in 2001 was a collection of PDF files. That version is still available. However, the structure (multiple files) and the format (PDF) result in a poor user experience on an ebook reader or other mobile device. This version has been thoroughly cleaned of artifacts and condensed into something which can easily be converted into an ebook-friendly format. You can read this version online at GitHub, or download any of the EPUB or Mobi releases. You can clone the repository and generate your own version with pandoc if necessary. -
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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. By consolidating essential knowledge in one place, the project helps learners efficiently review concepts and practice effectively for interviews. -
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MATLAB Simulink Challenge Project Hub
Lst of research and design project ideas
This repository is a project idea hub maintained by MathWorks, containing a curated list of research or design project ideas for MATLAB and Simulink. The aim is to help students or educators find inspiration and guidance for projects aligning with industry trends or technical challenges. It includes encouragement of industry-relevant topics. As well as categorization by technology or domain. The content does not itself include a self-contained product or pipeline; instead it is a repository of ideas, descriptions, and links. References or links to supporting materials. Encouragement of industry-relevant topics. Maintained/endorsed by MathWorks (educational use). -
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Open Source Vizier
Python-based research interface for blackbox
Open Source (OSS) Vizier is a Python-based interface for blackbox optimization and research, based on Google’s original internal Vizier, one of the first hyperparameter tuning services designed to work at scale. Allows a user to setup an OSS Vizier Server, which can host black-box optimization algorithms to serve multiple clients simultaneously in a fault-tolerant manner to tune their objective functions. Defines abstractions and utilities for implementing new optimization algorithms for research and to be hosted in the service. A wide collection of objective functions and methods to benchmark and compare algorithms. Define a problem statement and study configuration. Setup a local server, setup a client to connect to the server, perform a typical tuning loop, and use other client APIs. -
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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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Python Advanced
Intermediate Python Chinese version
"Advanced Python" is the Chinese translation of "Intermediate Python". Python, as an "experienced" and "small and fresh" development language, has been loved by many talented men and women. We have also evolved from being the most basic Python fan to the old Python ghost over time. The book "Intermediate Python" is simple to read, and easy to translate. Whether you are a Python beginner or a Python expert, it will always show you the best things in Python. In the process of translation, the translator slowly discovered that the author’s style of writing has the style of a popular science writer, that is, the ability to present obscure and difficult technologies in a clear and concise way, and the in-depth and simple style is in each chapter. Each chapter is very concise and can be read in 5 minutes, showing the principle incisively with the most concise examples. Each chapter will use questions to guide the reader to actively think about the answer. -
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Python Zero to Hero for DevOps Engineers
Learn Python from DevOps Engineer point of you
Python Zero to Hero for DevOps Engineers is a structured “Python Zero to Hero for DevOps Engineers” course laid out as a day-by-day learning path. The repository is organized into Day-01 through Day-19 folders plus a small sample app, which makes it very easy to follow in sequence like a bootcamp. The curriculum starts with Python installation, environment setup, and writing your first script, then quickly moves into data types, strings, regular expressions, variables, and functions. It places a strong emphasis on DevOps-specific use cases: environment variables, command-line arguments, configuration handling, and automating log analysis or user management tasks are all explicitly woven into the exercises. As you progress, you encounter increasingly rich Python features such as lists (with list comprehensions), dictionaries, sets, operators, and control flow, always tied back to practical automation or infrastructure examples. -
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RegExr
Tool for creating, testing, and learning about Regular Expressions
RegExr is an online tool to learn, build, & test Regular Expressions (RegEx / RegExp). RegExr was created by gskinner.com, and is proudly hosted by Media Temple. Edit the Expression & Text to see matches. Roll over matches or the expression for details. PCRE & JavaScript flavors of RegEx are supported. Validate your expression with Tests mode. The side bar includes a Cheatsheet, full Reference, and Help. You can also Save & Share with the Community, and view patterns you create or favorite in My Patterns. Explore results with the Tools. Replace & List output custom results. Details lists capture groups. Explain describes your expression in plain English. It provides full RegEx Reference with help & examples. Undo & Redo with ctrl-Z / Y in editors. Search for & rate Community Patterns. You can also group multiple tokens together and create a capture group for extracting a substring or using a backreference.
