Open Source Linux Education Software - Page 9
Sort By:
Education Software for Linux
View 191 business solutions-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
-
1
Awesome Mac
Collect premium software in various categories
Now we have become very big and different from the original idea. Here we collect awesome macOS software in various categories. Feel free to star and fork. Reading and writing tools, text editors, office, markdown tools, note-taking, journaling. Ebooks, RSS, developer tools, IDEs, developer utilities, etc. Regular expression editors, API development and analysis, network analysis, command line tools, frameworks for hybrid applications, version control. Virtualization, databases, design and product, design tools, prototyping and mind-mapping tools, screen capturing software, etc. Major software download sites, there are a number of OSX Mac software sites. This project exists thanks to all the people who contribute. -
2
Category Theory for Programmers
'Category Theory for Programmers' unofficial PDF and LaTeX source
This is an unofficial PDF version of "Category Theory for Programmers" by Bartosz Milewski, converted from his blogpost series (with permission). Category Theory for Programmers was published 12 August, 2019. Based off release tag v1.3.0. See errata-1.3.0 for changes and fixes since print. Scala Edition is now available in paperback. Publish. Based off release tag v1.3.0. See errata-scala for changes and fixes since print. The best way to build the book is using the Nix package manager. After installing Nix, type nix-shell in the root directory of the project. This will download all the needed dependencies and tools to build the book (TeXLive, required fonts and packages, Pygments theme for syntax highligting, etc.). -
3
Computer Vision
Best Practices, code samples, and documentation for Computer Vision
In recent years, we've see an extra-ordinary growth in Computer Vision, with applications in face recognition, image understanding, search, drones, mapping, semi-autonomous and autonomous vehicles. A key part to many of these applications are visual recognition tasks such as image classification, object detection and image similarity. This repository provides examples and best practice guidelines for building computer vision systems. The goal of this repository is to build a comprehensive set of tools and examples that leverage recent advances in Computer Vision algorithms, neural architectures, and operationalizing such systems. Rather than creating implementations from scratch, we draw from existing state-of-the-art libraries and build additional utility around loading image data, optimizing and evaluating models, and scaling up to the cloud. -
4
Containerization (Apple)
Containerization is a Swift package for running Linux containers
This repository provides educational material and sample code that demystify how containerization works and how container components fit together in practice. It walks through the responsibilities of an image format, registry, and runtime, and shows how a minimal runtime can assemble an isolated process with the right filesystem view, environment, and entrypoint. The samples highlight security hardening considerations—such as process isolation, filesystem scoping, and least-privilege execution—so that containers are not just portable, but safer by default. Developers get a blueprint for taking standard container images and running them in a way that respects platform conventions, tooling, and policies. The emphasis is on clarity and standards alignment rather than building a production-grade engine, which makes the code ideal for learning and experimentation. -
Simple, Secure Domain RegistrationRegister or renew your domain and pay only what we pay. No markups, hidden fees, or surprise add-ons. Choose from over 400 TLDs (.com, .ai, .dev). Every domain is integrated with Cloudflare's industry-leading DNS, CDN, and free SSL to make your site faster and more secure. Simple, secure, at-cost domain registration.
-
5
D2L.ai
Interactive deep learning book with multi-framework code
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge. This open-source book represents our attempt to make deep learning approachable, teaching you the concepts, the context, and the code. The entire book is drafted in Jupyter notebooks, seamlessly integrating exposition figures, math, and interactive examples with self-contained code. Offers sufficient technical depth to provide a starting point on the path to actually becoming an applied machine learning scientist. -
6
DeepMind Educational Resources
DeepMind's repo of educational notebooks for learning AI and research
Educational is an open collection of interactive tutorials created by Google DeepMind to make the fundamentals of machine learning and artificial intelligence accessible to learners of all backgrounds. The repository provides hands-on, beginner-friendly resources that introduce essential AI concepts through Google Colab notebooks, combining intuitive explanations with executable code. The tutorials cover a broad range of topics—from foundational Python programming and data handling to supervised, unsupervised, and reinforcement learning, as well as graph neural networks and scientific reasoning. Specialized notebooks also explore creative AI applications, language modeling, generative models, and protein folding. Each tutorial is designed to be standalone and adaptable for self-study, classroom teaching, or use at summer schools and community workshops. -
7
DeepSqueak
DeepSqueak Using Machine Vision to Accelerate Bioacoustics Research
Using Machine Vision to Accelerate Bioacoustics Research. -
8
DevOps Exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git
DevOps Exercises is a massive, community-maintained collection of questions, tasks, and mini-challenges that cover the breadth of modern DevOps and platform engineering. It spans Linux, networking, Docker, Kubernetes, CI/CD, monitoring, cloud providers, security, and even soft skills and troubleshooting. The idea is to give candidates and teams a realistic practice ground for interviews, certifications, and day-to-day operational work. Because it’s structured as Q&A and exercises, you can go through it progressively or dip into specific domains where you need strengthening. The repository gets frequent contributions, keeping it aligned with current tooling and practices. It is widely used by people preparing for DevOps roles because it mirrors the style and depth of questions companies actually ask. -
9
Fanyi
A 🇨🇳 and 🇺🇸 translate tool in your command line
Fanyi is a tool for translating words between the Chinese and English languages, right in your command line. It’s a good supportive tool for learning and reading the Chinese language from English, or the other way around. All translation data is fetched from iciba.com and fanyi.youdao.com, and with each translation comprehensive and related samples are given for better understanding and proper usage. There are translations for words as well as sentences, and in Mac/Linux bash, words can even be pronounced by the ‘say’ command. -
The All-in-One Commerce Platform for Businesses - ShopifyShopify is a leading all-in-one commerce platform that enables businesses to start, build, and grow their online and physical stores. It offers tools to create customized websites, manage inventory, process payments, and sell across multiple channels including online, in-person, wholesale, and global markets. The platform includes integrated marketing tools, analytics, and customer engagement features to help merchants reach and retain customers. Shopify supports thousands of third-party apps and offers developer-friendly APIs for custom solutions. With world-class checkout technology, Shopify powers over 150 million high-intent shoppers worldwide. Its reliable, scalable infrastructure ensures fast performance and seamless operations at any business size.
-
10
Functional-Light JavaScript
Pragmatic, balanced FP in JavaScript
Functional-Light JavaScript is an online book that teaches functional programming principles through a pragmatic JavaScript lens. Instead of insisting on strict purity, it adopts a balanced approach that keeps code practical while showing how immutability, composition, and declarative thinking improve quality. Chapters build up from values and closures to higher-order functions, list operations, transducing, and async patterns, all grounded in idiomatic JS. The writing favors intuition and trade-offs, explaining when a technique helps and when it becomes counterproductive. Numerous examples and exercises turn abstract ideas into patterns you can apply in everyday modules and services. It’s a developer-friendly path to writing clearer, more predictable code without abandoning JavaScript’s strengths. -
11
Git-it
Git-it is a (Mac, Win, Linux) desktop app for learning Git and GitHub
Git-it is a desktop (Mac, Windows and Linux) app that teaches you how to use Git and GitHub on the command line. This application contains challenges for learning Git and GitHub, by using real Git and GitHub, not emulators. You'll be learning the awesome (and not so scary) command line and GitHub which means when you finish all of the challenges you'll have real repositories on your GitHub account and green squares on your contribution chart. You will need this app, Git-it as well as a text editor. You'll also of course need Git and the first challenge in Git-it helps you get that set up. But if you want to get a head start, go for it! You'll continue to use Git and your text editor throughout your bright social coding future. We recommend installing GitHub Desktop (free) because it installs Git in the most consistent way across supported operating systems (Windows and Mac). -
12
Google Open Source Project Style Guide
Chinese version of Google open source project style guide
Each larger open source project has its own style guide, a series of conventions on how to write code for the project (sometimes more arbitrary). When all the code maintains a consistent style, it is more important when understanding large code bases. easy. The meaning of "style" covers a wide range, from "variables use camelCase" to "never use global variables" to "never use exceptions". The English version of the project maintains the programming style guidelines used in Google. If the project you are modifying originates from Google, you may be directed to the English version of the project page to understand the style used by the project. The Chinese version of the project uses reStructuredText plain text markup syntax, and uses Sphinx to generate document formats such as HTML / CHM / PDF. -
13
Hacker Laws
Laws, theories, principles and patterns useful to developers
Laws, Theories, Principles and Patterns that developers will find useful. There are lots of laws which people discuss when talking about development. This repository is a reference and overview of some of the most common ones. Principles and laws to follow such as: If a program is made up of two parts, part A, which must be executed by a single processor, and part B, which can be parallelised, then we see that adding multiple processors to the system executing the program can only have a limited benefit. It can potentially greatly improve the speed of part B - but the speed of part A will remain unchanged. Also, theories like The Broken Windows Theory, which suggests that visible signs of crime (or lack of care of an environment) lead to further and more serious crimes (or further deterioration of the environment). Conway's Law suggests that the technical boundaries of a system will reflect the structure of the organisation. These among others, are featured in this project. -
14
LTEX Extension for VS Code
LTeX: Grammar/spell checker for VS Code using LanguageTool
LTEX provides offline grammar checking of various markup languages using LanguageTool (LT). LTEX can be used standalone as a command-line tool, as a language server using the Language Server Protocol (LSP), or directly in various editors using extensions. LTEX currently supports BibTEX, ConTEXt, LATEX, Markdown, Org, reStructuredText, R Sweave, and XHTML documents. A classic use case of LTEX is checking scientific LATEX papers. -
15
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 underlying logic. The project also includes a curated set of 40 problems from the “Sword Pointing to Offer” series—commonly asked in technical interviews—accompanied by detailed analyses and visual breakdowns. These materials are designed for both beginners starting their algorithm journey and experienced developers seeking to reinforce their understanding. Originally published through the WeChat public account “Brother Wu Learns Algorithms”, LeetCodeAnimation has become a valuable learning resource. -
16
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 template code and “swap-in” variations, helping you recognize how the same technique adapts across similar problems. The book also emphasizes problem-solving habits like deriving invariants, choosing appropriate data structures, and verifying with small counterexamples. It’s suitable for newcomers building fundamentals and for experienced engineers polishing timing and correctness under interview pressure. -
17
Mastering Bitcoin
Mastering Bitcoin 3rd Edition - Programming the Open Blockchain
The bitcoinbook repository contains the source code for Mastering Bitcoin, the authoritative open-source book by Andreas M. Antonopoulos on Bitcoin and cryptocurrency technologies. Written in a collaborative and continuously updated format using Markdown and AsciiDoc, the book serves as a comprehensive technical guide for developers, engineers, and system architects who want to understand how Bitcoin works. It covers the protocol, cryptography, peer-to-peer architecture, wallets, mining, and application development. -
18
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. The project stresses responsible use—learn from the material, don’t plagiarize—and continually evolves through community review. As a living handbook, it captures institutional knowledge that helps level the playing field for students with different backgrounds. -
19
Ray Tracing in One Weekend Book Series
The Ray Tracing in One Weekend series of books
The Ray Tracing in One Weekend series of books are now available to the public for free online. They are now released under the CC0 license. This means that they are as close to public domain as we can get. (While that also frees you from the requirement of providing attribution, it would help the overall project if you could point back to this web site as a service to other users.) These books are formatted for printing directly from your browser, where you can also (on most browsers) save them as PDF. In Ray Tracing in One Weekend, you will build a simple brute-force path tracer. Continuing with Ray Tracing: The Next Week, you will add textures, volumes (like fog), rectangles, instances, lights, and support for lots of objects using a bounding volume hierarchy (BVH). Finally, with Ray Tracing: The Rest Of Your Life, we'll dive into the math of creating a very serious ray tracer. -
20
React For Beginners
Starter files for learning React.js with React for Beginners
React For Beginners serves as the official starter code bundle for the “React For Beginners” course by Wes Bos, designed to help developers follow along (or revisit later) with the hands-on app built in the video series. The code includes the base app (“Catch of the Day”) and the stepped solutions at each video stage, giving learners a way to either build up by themselves or reference the exact result when needed. Because the project uses modern React tooling (Webpack, create-react-app style tooling, hot reload) and integrates Firebase, it gives a realistic entry into how React applications are structured in real work. It emphasises component architecture, state management, data flows, routing, and deployment rather than just “hello world”. For those new to React it lowers friction by giving much of the boilerplate already set up, allowing focus on learning. -
21
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. -
22
SRE Checklist
A checklist of anyone practicing Site Reliability Engineering
SRE Checklist is a practical, operations-focused checklist for running reliable services the way Site Reliability Engineering recommends. It breaks SRE good practices into concrete items: SLIs/SLOs, alerting, runbooks, on-call processes, capacity planning, backups, security, and incident response. Instead of only describing SRE theory, it turns it into “did you do this yet?” items that teams can track as they harden their systems. This makes it especially helpful for organizations that are new to SRE and want to operationalize reliability without inventing everything from scratch. The checklist format also makes audits and maturity assessments straightforward: you can see at a glance what’s in place and what’s missing. Over time, teams can adopt it as part of their service-readiness or launch checklists. -
23
Stats With Julia Book
Collection of runnable Julia code examples for a statistics book
StatsWithJuliaBook is the companion code repository for the book Statistics with Julia: Fundamentals for Data Science, Machine Learning and Artificial Intelligence. It contains over 200 code blocks that correspond to the book’s ten chapters and three appendices, covering topics from probability theory and data summarization to regression analysis, hypothesis testing, and machine learning basics. The repository is designed for Julia users and provides ready-to-run examples that reinforce theoretical concepts with practical implementation. Readers can explore how Julia supports statistical modeling, simulation, and computational methods in data science workflows. The included initialization script simplifies package setup, ensuring that learners can focus on running and modifying the code examples. This project bridges the gap between textbook learning and hands-on coding, making it a valuable educational tool for students, researchers, and practitioners. -
24
ZJU Icicles
Zhejiang University Course Guide Sharing Program
zju-icicles is a community-maintained collection of course resources for students at Zhejiang University, organized by department and course. It aggregates syllabi, lecture notes, past exams, assignments, and study guides contributed by generations of students. The catalog structure and contribution guidelines encourage consistent formatting so materials are easy to find and update. It promotes academic integrity by positioning the content as study aids rather than shortcuts, with reminders to follow current course policies. New contributors can add or improve items via pull requests, keeping the repository alive and representative of the evolving curriculum. For incoming and current students alike, it reduces information asymmetry and helps plan coursework with realistic expectations. -
25
ktrain
ktrain is a Python library that makes deep learning AI more accessible
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply. ktrain is a lightweight wrapper for the deep learning library TensorFlow Keras (and other libraries) to help build, train, and deploy neural networks and other machine learning models. 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.