Open Source Education Software - Page 11
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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.
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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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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 browser, leveraging a compiler pipeline that turns the high-level code into JavaScript so no installation is required. The platform includes project management, sharing, and classroom features so instructors can distribute examples and students can submit work. By constraining the language surface and curating libraries, CodeWorld balances the expressive power of functional programming with the simplicity needed for first-time programmers. -
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Coding Interview University
A complete computer science study plan to become a software engineer
Coding Interview University is a multi-month self-study plan that grew from a short personal to-do list into a comprehensive roadmap for preparing technical interviews at large software companies. The author used this plan to transition into a Software Development Engineer role at Amazon and emphasizes that most learners will not need to study as many hours to succeed. The repository focuses on practical readiness over memorization, guiding you to learn core computer science topics to about a 75% depth that is sufficient for interviews. It outlines how to choose one primary programming language, recommends foundational books, and explains an effective daily routine of studying concepts then implementing them from scratch. The plan includes extensive topic coverage from algorithms and data structures to systems fundamentals, plus optional advanced areas for deeper growth. -
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Coding-Guide
Repository of coding guidelines, developer notes, learning resources
The Coding-Guide repository is a personal repository of coding guidelines, developer notes, learning resources, and documentation spanning topics from front-end to full-stack, coding practices, and software development tips. The repository appears to be maintained by “ecmadao” and intended as a reference/knowledge base of best practices, notes, style conventions, and reminders. The content is typically documentation, markdown files, code snippets, and tutorials, rather than a coherent, packaged software tool. Documentation across languages and frameworks. Continuously updated by the author. -
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.
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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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ES6 Tutorial
ECMAScript 6
This is a comprehensive, book-style tutorial that teaches modern JavaScript beginning with ES6 and continuing into later additions to the language. It introduces core syntax like let/const, template literals, destructuring, modules, and classes before moving to promises, generators, async/await, proxies, and symbols. Each chapter mixes explanation with concise examples, emphasizing why a feature exists and how to use it idiomatically. The material serves both as a learning path and a reference you can revisit when you forget specific details or edge cases. Practical sections cover collections, iterators, typed arrays, and internationalization, tying abstract concepts to real use. The tutorial is widely used by engineers preparing for interviews, onboarding to modern JS codebases, or refreshing knowledge after time away. -
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Electron Fiddle
The easiest way to get started with Electron
Electron Fiddle lets you create and play with small Electron experiments. It greets you with a quick-start template after opening – change a few things, choose the version of Electron you want to run it with, and play around. Then, save your Fiddle either as a GitHub Gist or to a local folder. Once pushed to GitHub, anyone can quickly try your Fiddle out by just entering it in the address bar. Try Electron without installing any dependencies: Fiddle includes everything you'll need to explore the platform. It also includes examples for every API available in Electron, so if you want to quickly see what a BrowserView is or how the desktopCapturer works, Fiddle has got you covered. Fiddle includes Microsoft's excellent Monaco Editor, the same editor powering Visual Studio Code. It also installs the type definitions for the currently selected version of Electron automatically, ensuring that you always have all Electron APIs only a few keystrokes away. -
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ExData Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
This repository explores household energy usage over time using the “Individual household electric power consumption” dataset from the UC Irvine Machine Learning Repository. The dataset covers nearly four years of minute-level measurements, including power consumption, voltage, current intensity, and detailed sub-metering values for different household areas. For analysis, focus is placed on a two-day period in February 2007, highlighting short-term consumption trends. The data requires careful handling due to its size of more than 2 million rows and coded missing values. By processing the date and time fields into proper formats, it becomes possible to generate clear time-series plots of energy usage. The repository demonstrates effective exploratory data analysis practices in R with a reproducible workflow for transforming raw data into visual insights. -
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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. -
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Golang Regex Tutorial
Golang - Regular Expression Tutorial
The Golang Regex Tutorial is a comprehensive learning resource that introduces regular expressions in the Go programming language. It is organized into chapters that progress from beginner-friendly basics to more advanced applications. The tutorial includes explanations, practical examples, and a cookbook section that shows how to apply regex solutions to real-world problems. It also provides insights into alternatives and variations of regex usage within Go. The repository is designed to help developers understand not only the syntax but also the practical implementation of pattern matching in Go. With its structured format, it serves both as an introductory guide and as a reference for intermediate users who want to strengthen their understanding of regular expressions in Go. -
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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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Kaleidoscope
Haskell LLVM JIT Compiler Tutorial
This repository is a Haskell port of the classic LLVM “Kaleidoscope” tutorial that walks you through building a tiny programming language from scratch. It covers the complete pipeline: tokenizing and parsing a simple, expression-oriented language, constructing an AST, and generating LLVM IR with a JIT so you can execute code interactively. Along the way it adds language features like user-defined functions, conditionals, loops, and operator precedence, demonstrating how each addition impacts parsing and codegen. Because it uses Haskell idioms, the code clearly separates pure syntax handling from effectful JIT operations, making the architecture easy to reason about. The examples double as a hands-on introduction to LLVM’s APIs without drowning you in infrastructure. As a result, the project is both a compact compiler course and a practical template for experimenting with language design in Haskell. -
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Learn Python the Hard Way
Concise study notes derived from “Learn Python the Hard Way”
This repository contains concise study notes derived from “Learn Python the Hard Way,” organized to reinforce core Python concepts through small, targeted examples. It emphasizes hands-on practice—short scripts, exercises, and explanations that help cement syntax, data structures, functions, and modules. The notes call out common gotchas, idioms, and style preferences so learners form good habits early. Because the content is intentionally compact, it’s easy to revisit a topic quickly when preparing for interviews or refreshing fundamentals. The material favors clarity over abstraction, keeping examples runnable and easy to modify in any editor. It works well as a companion to more exhaustive books, giving you a lightweight way to drill fundamentals and build muscle memory. -
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LearnCS8 Resume
Resume template website for the LearnCS8 Lab 3
LearnCS8-Resume is a template or demo project for a resume built as a web page (HTML/CSS/JS) for the LearnCS8 course’s Lab 3. It provides an example of a student project or assignment: a personal resume page implemented using front-end web technologies. HTML structure for resume content (education, experience, skills). Responsive or adaptive styling for various viewports. Sample placeholders/instructions for student substitution. -
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Litmus
Litmus helps SREs and developers practice chaos engineering
LitmusChaos is an open source Chaos Engineering platform that enables teams to identify weaknesses & potential outages in infrastructures by inducing chaos tests in a controlled way. Developers & SREs can practice Chaos Engineering with Litmus as it is easy to use, based on modern chaos engineering principles & community collaboration. It is 100% open source & a CNCF project. Litmus takes a cloud-native approach to create, manage and monitor chaos. The platform itself runs as a set of microservices and uses Kubernetes custom resources to define the chaos intent, as well as the steady-state hypothesis. A centralized chaos management tool called chaos-center helps construct, schedule, and visualize Litmus chaos workflows. Made up of a chaos agent and multiple operators that execute & monitor the experiment within a defined target Kubernetes environment. -
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ML for Beginners
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ML-For-Beginners is a structured, project-driven curriculum that teaches foundational machine learning concepts with approachable math and lots of code. Organized as a multi-week course, it mixes short lectures with labs in notebooks so learners practice regression, classification, clustering, and recommendation techniques on real datasets. Each lesson aims to connect the algorithm to a relatable scenario, reinforcing intuition before diving into parameters, metrics, and trade-offs. The repository includes quizzes, solutions, and instructor materials to make the content usable in classrooms or self-study. It emphasizes ethical considerations and model evaluation—accuracy is not the only metric—so students learn to validate and communicate results responsibly. By the end, participants can build end-to-end ML experiments, interpret outputs, and iterate with confidence rather than just copying code. -
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MPAndroidChart
A powerful Android chart view / graph view library
MPAndroidChart is a powerful chart library for Android that offers a beautiful and comprehensive range of charts and graphs. Powerful and very easy to use, it supports the creation of bar-, line-, pie-, bubble-, scatter-, radar- and candlestick charts, as well as scaling, dragging and animations. Charts are rendered cleanly and are visually engaging. Visualizing your data exactly how you want is so much easier with MPAndroidChart. To see more great examples of MPAndroidChart, download the MPAndroidChart Example App on Google Play. -
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MySQL Tutorial
Example-driven guide to MySQL
mysql-tutorial is a practical, example-driven guide to MySQL that walks readers from installation and basics to everyday administration and performance techniques. It introduces schema design, data types, and constraints before moving to CRUD operations, joins, subqueries, and aggregation. Transaction control, indexes, and execution plans are explained with real queries so readers can see how design choices affect speed and integrity. The repository also touches on user management, permissions, backups, and common operational tasks that arise in production. Throughout, the emphasis is on clear SQL examples and short explanations that can be tested immediately in a local instance. It serves both as a learning track for newcomers and as a handy reference for developers who need to refresh core MySQL skills. -
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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 Core 50 Courses
Structured learning path that organizes Python fundamentals
Python-Core-50-Courses is a structured learning path that organizes Python fundamentals into 50 digestible lessons designed for steady, incremental progress. 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. By the end, students should feel confident writing small to medium programs and be ready to explore web, data, or automation tracks. -
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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. The examples emphasize explicit boundaries for infrastructure concerns such as persistence, logging, configuration, and external services to keep business logic clean. Throughout, the code illustrates dependency inversion in Haskell, showing how to swap implementations without pervasive rewrites. The result is a cookbook of strategies and runnable examples that help teams structure real-world Haskell applications beyond small scripts or academic exercises. -
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Statistics for Data Scientists
"Statistics for Data Scientists: 50 Essential Concepts"
The “statistics-for-data-scientists” repository is a pedagogical resource designed to bridge rigorous statistics theory and practical data science workflows. The code and materials are intended to help data scientists and analysts grasp statistical principles (e.g. inference, regressions, hypothesis testing, probability, confidence intervals) in contexts relevant to real data analysis tasks. The repository includes Jupyter notebooks, R scripts, worked examples, and possibly problem sets that illustrate how statistical methods are applied to real datasets. It aims to demystify the bridge between textbook statistics and empirical modeling by walking through assumption checking, visualization, interpreting outputs, and pitfalls of misuse. Throughout, the content emphasizes clarity and accessibility, showing not just how to run statistical tests or build models, but what they mean and when one method is preferred over another. -
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SwifterSwift
A collection of more than 500 native Swift extensions
SwifterSwift is a collection of over 500 native Swift extensions, with handy methods, syntactic sugar, and performance improvements for a wide range of primitive data types, UIKit and Cocoa classes, over 500 in 1– for iOS, macOS, tvOS, watchOS, and Linux. CocoaPods is a dependency manager for Cocoa projects. To integrate SwifterSwift into your Xcode project using CocoaPods, specify it in your Podfile. SwifterSwift is Swift v5.0+ compatible starting from v5. SwifterSwift is a library of over 500 properties and methods, designed to extend Swift's functionality and productivity, staying faithful to the original Swift API design guidelines. Documentation for all extensions, with examples, is available at the homepage. Check Examples.playground from the project for some cool examples! -
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Think Bayes
Code repository for Think Bayes
ThinkBayes is the code repository accompanying Think Bayes: a book on Bayesian statistics written in a computational style. Instead of heavy focus on continuous mathematics or calculus, the book emphasizes learning Bayesian inference by writing Python programs. The project includes code examples, scripts, and environments that correspond to the chapters of the book. Learners can run the code, experiment with probability distributions, compute posterior probabilities, and understand Bayesian updating via simulation and algorithmic methods. The book and code encourage thinking in terms of discrete approximations (sums over distributions) rather than continuous integrals, making it more accessible to many programmers. Over time, the repository has been updated (including a second edition version) to reflect improved practices, corrections, and modern Python tooling.