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Computer Science courses video lectures
List of Computer Science courses with video lectures
This repository is a curated list of full-length computer science video lecture series across many universities and MOOC platforms, helping learners assemble their own curriculum. The list spans foundational topics like algorithms, data structures, operating systems, computer networks, machine learning, and more, all delivered via lectures rather than just textual tutorials. The contributor guidelines encourage adding high-quality courses (not just casual tutorials) so the list remains academically oriented. Because it’s updated and community maintained, the collection grows with new offerings and helps learners evaluate what courses are available before starting. For self-taught engineers, graduates, or career-changers, this repository acts as a roadmap: pick courses, follow them, mark completion, and build a depth of theoretical foundation. It’s especially useful when mapping out a learning path rather than relying on a single bootcamp or video series. -
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Cookbook (Google Gemini)
Examples and guides for using the Gemini API
The Gemini Cookbook is an official repository of examples and guides for using Google’s Gemini API. It provides a structured learning path with quick-start tutorials for beginners and practical examples for advanced users. The repository covers a wide range of Gemini capabilities, including text, images, video, speech, robotics, and multimodal interactions. It highlights newly introduced features such as Gemini 2.5 models (Flash and Pro), Gemini’s native image generation, Veo for video generation, robotics-focused reasoning models, and Lyria for TTS and music generation. The Cookbook also includes tutorials on advanced API workflows such as grounding answers with external tools, batch-mode request handling, and live multimodal interactivity with LiveAPI. Designed as a hands-on resource, it helps developers quickly explore Gemini’s potential while serving as a reference for integrating cutting-edge multimodal AI into applications. -
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Countries, Languages & Continents data
Countries, Languages & Continents data (capital and currency)
Continents & countries (with languages, capital and currency, native name, calling codes). Continents & countries: ISO 3166-1 alpha-2 code, name, ISO 639-1 language, capital and currency, native name, calling codes. Lists are available in JSON, CSV and SQL formats. Also, contains separate JSON files with additional country Emoji flags data. This version changes a lot in the data structures and placement of the files. So, if your projects depend on the old structure — specify previous versions, <2.0.0. Country item languages field is an Array in JSON files to easily count and match items with a Language item. But currency and phone calling codes may be a comma-separated String. Languages list only contains languages used in Countries data. Full list of known languages is exported as languagesAll from ./dist/languages.all.json. -
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DRACO
A ibrary for compressing and decompressing 3D geometric meshes
Draco is an open-source library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics. Learn about compressing and viewing 3D models with Draco, and about different compression models and their effects. Draco was designed and built for compression efficiency and speed. The code supports compressing points, connectivity information, texture coordinates, color information, normals, and any other generic attributes associated with geometry. With Draco, applications using 3D graphics can be significantly smaller without compromising visual fidelity. For users, this means apps can now be downloaded faster, 3D graphics in the browser can load quicker, and VR and AR scenes can now be transmitted with a fraction of the bandwidth and rendered quickly. -
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DataTables
Tables plug-in for jQuery
DataTables is a jQuery plugin that enhances HTML tables with powerful dynamic features such as searching, sorting, and pagination. It transforms plain static tables into interactive data explorers with minimal code changes. Developers can customize its behavior through an extensive API, adding export buttons, column visibility toggles, custom filters, and integration with remote data sources via Ajax. The plugin is modular, with a core that provides essentials and a wide range of extensions that cover advanced functionality like fixed headers, responsive layouts, and inline editing. Styling can be adapted to frameworks like Bootstrap or Foundation, making it blend seamlessly into modern UIs. Because it handles large datasets efficiently, DataTables has become a go-to component for dashboards, reporting tools, and admin interfaces. -
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DateTimePicker
Responsive jQuery DateTime Picker plugin for Web & Mobile
DateTime Picker is a quick highly customizable jQuery plugin. The design is clutter-free & well-suited for embedding it into mobile application development. Users can change values using +/- buttons or type values directly into the textbox by selecting each value field. For the web, the picker can be bound relative to the reference element, were it will appear at the bottom of the element. For mobile, the picker can appear as a dialog box covering the entire window. -
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Directory Lister
Directory Lister exposes the contents of any web folder
Directory Lister is a simple, self-hosted PHP application that lets users browse and share the contents of directories over the web. It creates a web interface to list files and folders on a server, complete with download links, breadcrumb navigation, and optional themes. Ideal for file sharing and public repositories, it requires no database and can be deployed quickly on any PHP-compatible server. -
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Distribution
The Docker toolset to pack, ship, store, and deliver content
Distribution is a repository that contains the Open Source Docker Registry implementation, which is for the storage and distribution of Docker and OCI images using the OCI Distribution Specification. The goal of this project is to provide a simple, secure yet professional-grade and scalable content distribution system that lets users store, package, manage and exchange content in a reliable and efficient way. It also allows users to hack or roll their own content atop healthy open source components and implement their own solutions. The repository has three main components: the registry, libraries for interacting with distribution components, and the documentation related to the registry. -
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DockPanel Suite
The Visual Studio inspired docking library for .NET WinForms
Microsoft first introduced the docking panel layout in Visual Studio .NET (2002), and soon it became popular in application design. Many commercial .NET component vendors started to provide docking libraries initially, but there was no good free and open source alternative until WeiFen Luo released DockPanel Suite (DPS for short) on SourceForge.net in 2006. After an 18 month hiatus, the project has been resurrected and is now being actively developed on GitHub. -
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Elsa Workflows
A .NET Standard 2.0 Workflows Library
Build workflows in code using the Workflow Builder API or as data using JSON syntax. Or use the workflow designer to design executable workflows visually. Elsa comes with a reusable dashboard component to manage workflows and activities. Run workflows from within your application using simple to use APIs. Start or resume workflows manually, or automatically by invoking triggers. Make it your own by extending the set of activities with your own. Implementing custom activities allows for powerful workflows that can be implemented with ease. Workflows can be defined using plain C# code. In addition to an increasing number of activities that you can choose from, Elsa is designed to be extensible with your own custom activities. Short-running Workflows can be useful to implement a business rules engine, while long-running workflows greatly simplify the implementation of complex processes that involve coordinating between multiple agents (users & machines). -
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Embedded Template Library (ETL)
Embedded Template Library
C++ is a great language to use for embedded applications and templates are a powerful aspect. The standard library can offer a great deal of well-tested functionality, but there are some parts of the standard library that do not fit well with deterministic behavior and limited resource requirements. These limitations usually preclude the use of dynamically allocated memory and containers with open-ended sizes. What is needed is a template library where the user can declare the size, or maximum size of any object upfront. Most embedded compilers do not currently support the standard beyond C++ 03, therefore excluding the programmer from using the enhanced features of the later library. -
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Excelize
Go language library for reading and writing Microsoft Excel
Excelize is a library written in pure Go providing a set of functions that allow you to write to and read from XLAM / XLSM / XLSX / XLTM / XLTX files. With Excelize chart generation and management is as easy as a few lines of code. You can build charts based off data in your worksheet or generate charts without any data in your worksheet at all. Excelize provided streaming API for generating or reading data from a worksheet with huge amounts of data. Simply runs Excelize on macOS, Linux and Windows operating systems without a hustle. With Excelize chart generation and management is as easy as a few lines of code. You can build charts based on data in your worksheet or generate charts without any data in your worksheet at all. -
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FFmpeg-Android-Java
Android java library for FFmpeg binary
FFmpeg Android java is a java library that simplifies your task of using ffmpeg in Android project which I've compiled using FFmpeg-Android. -
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FlatBuffers
Memory Efficient Serialization Library
FlatBuffers is an open source, cross-platform serialization library designed for maximum memory efficiency. Originally created at Google for game development and other performance-critical apps, FlatBuffers has the unique ability of allowing you to directly access serialized data without having to parse or unpack beforehand. Since the only memory needed to access your data is that of the buffer, it is also very memory efficient and fast. FlatBuffers supports Windows, MacOS, Linux and Android, as well as any other operating systems with a recent C++ compiler. It supports a great number of programming languages, including C++, C#, C, Go, Java, Kotlin, JavaScript, Lobster, Lua, TypeScript, PHP and many others in progress. -
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FlutterFire
A collection of Firebase plugins for Flutter apps
FlutterFire is a collection of Flutter plugins that integrate Firebase services into Flutter applications. It provides modular plugins (e.g. firebase_auth, cloud_firestore, firebase_messaging, etc.) such that apps only include what they need. The central plugin is firebase_core, which initializes the Firebase app instance. Through FlutterFire, developers can use authentication, real-time database, Firestore, cloud functions, analytics, messaging, storage, and more from their Flutter code. The project includes tooling (e.g. the FlutterFire CLI) to assist in configuring Firebase projects and managing plugin versions. The goal is to make Firebase a seamless, first-class backend option for cross-platform Flutter apps, handling platform differences (iOS, Android, web) under the hood. -
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GPT-5 Coding Examples
GPT-5 coding examples
GPT-5 Coding Examples is a demonstration repository showcasing applications generated entirely from a single GPT-5 prompt without hand-written code. The collection highlights GPT-5’s strengths in scaffolding websites, front-end applications, games, and interactive UIs directly from natural-language instructions. Each demo illustrates how developers and non-developers alike can bootstrap functional projects by describing their ideas in plain English. The repository allows users to explore examples locally or through a hosted version, where they can view prompts, inspect generated code, and remix projects. It also provides guidance for experimenting with GPT-5 in different workflows — from using the Codex CLI for terminal-based automation, to integrating with IDEs, to leveraging ChatGPT’s browser-based code generation and preview. While archived as a reference-only resource with no active contributions, GPT-5 Coding Examples remains a source of inspiration for rapid prototyping. -
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GitHub Docs
The open-source repo for docs.github.com
The public, open-source repository powering GitHub’s own documentation site, hosting documentation content, guides, governance, and contribution workflows. GitHub's Docs team works on pre-production content in a private repo that regularly syncs with this public repo. Use the table of contents icon Table of contents icon on the top right corner of this document to navigate to a specific section quickly. The GitHub product documentation in the assets, content, and data folders is licensed under a CC-BY license. All other code in this repository is licensed under the MIT license. -
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GitHub520
Community-maintained approach to improving access to GitHub services
GitHub520 is a community-maintained approach to improving access to GitHub services from regions with network friction by leveraging host mappings. The repository provides a regularly updated list of domain-to-IP entries meant to be appended to a system’s hosts file so certain GitHub endpoints resolve faster or more reliably. It includes scripts or guidance to automate updates, reducing the need for manual lookups when IPs change. The project’s goal is pragmatic: improve developer productivity by mitigating timeouts and slow asset retrieval during cloning, package installs, or browsing. It is intended for users who understand the implications of hosts modifications and want a reversible, client-side tweak. While simple in concept, it has become a widely referenced workaround for network constraints affecting developer workflows. -
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Go Meta Linter
Runs a whole bunch of those linters and normalizes their output
Go Meta Linter is a deprecated Go meta-linter that was created to run many Go static analysis tools at the same time. It normalizes their results into one consistent output format so editors, IDEs, and CI systems can read problems more easily. The tool helps developers catch issues such as unused code, unchecked errors, duplicated code, style problems, security concerns, and suspicious compiler-level behavior. It supports a broad collection of linters and lets users customize which checks run for each project. It can also be configured through a JSON file, which makes it easier to share linting rules across a team. Although the project is archived and users are directed toward golangci-lint, it remains a useful example of early Go lint aggregation. -
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Go Tools
Various packages and tools that support the Go programming language
This subrepository holds the source for various packages and tools that support the Go programming language. Some of the tools, godoc and vet for example, are included in binary Go distributions. Others, including the Go guru and the test coverage tool, can be fetched with go get. Packages include a type-checker for Go and an implementation of the Static Single Assignment form (SSA) representation for Go programs. This repository uses prettier to format JS and CSS files. The version of prettier used is 1.18.2. It is encouraged that all JS and CSS code be run through this before submitting a change. However, it is not a strict requirement enforced by CI. This repository uses Gerrit for code changes. -
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Google Cloud Platform Node.js Samples
Node.js samples for Google Cloud Platform products
Google Cloud Platform Node.js Samples repository is a large set of Node.js code examples that demonstrate how to build, deploy, and manage applications using Google Cloud Platform services. It mirrors the structure and purpose of the Python and Go sample repositories, providing developers with practical implementations that complement official documentation. The repository includes examples for a wide variety of services, such as Cloud Run, App Engine, storage systems, and APIs, along with full tutorial applications like the Bookshelf app that showcase end-to-end workflows. Each sample includes setup instructions, dependency installation steps, and execution commands, making it easy for developers to run and modify the code locally. The project also supports modern JavaScript and TypeScript workflows, reflecting current development practices in the Node.js ecosystem. -
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Google Cloud Platform Python Samples
Code samples used on cloud.google
Google Cloud Platform Python Samples repository is a large, curated collection of Python code examples that demonstrate how to use a wide range of Google Cloud services in real-world scenarios. It serves as a practical companion to official documentation, providing runnable snippets that illustrate how to authenticate, configure environments, and interact with APIs across products such as storage, AI services, and data processing tools. The repository is organized into product-specific directories, allowing developers to quickly locate examples relevant to their use case and adapt them into production workflows. It emphasizes hands-on learning by guiding users through setup steps such as creating virtual environments, installing dependencies, and running scripts locally. These samples are designed to accelerate development by showing best practices for connecting services, handling data, and managing cloud resources programmatically. -
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HARFANG 3D engine
HARFANG 3D source code public repository
HARFANG 3D builds real-time 3D tools for industry professionals. Its software suite is tailored to developers, designers and engineers aiming to efficiently and seamlessly develop, implement & deploy 3D solutions (HMI, VR/AR, simulation, interactive 3D), regardless of development language or platform constraints. HARFANG Studio is the ideal 3D editor for creating real-time scenes & animations that match your design vision. It can manage the entire 3D graphics production workflow in a simple and optimized manner, without compromising the integration in other development environments. HARFANG Studio’s philosophy is in line with that of HARFANG 3D engine, a compliant, straightforward, fast & lightweight. Everything that runs in HARFANG Studio is compatible with our Framework and its supported coding languages. HARFANG Framework is an easy-to-adapt, cross-platform, multi-language, powerful and optimized 3D visualization engine written in C++ and accessible via an open API in C++. -
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Iconoir
An open source icons library with 1K+ icons
Iconoir is an open-source library with 1000+ unique SVG icons, designed on a 24x24 pixels grid. No premium icons, no email sign-up, no newsletters. A React library is available to install under the name iconoir-react. A Flutter library is available to install under the name iconoir_flutter. Iconoir is happily part of Framer now. To start using the icons, on the top menu, Insert > Graphics > Iconoir. You can switch between icons from the right sidebar in the editor. The class must always be "iconoir-" and then the name of the icon. The icons are display: inline-block and default to the current font size. You can control this by adjusting the ::before styles of the element. -
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Inject
Hot Reloading for Swift applications
Hot reloading workflow helper that enables you to save hours of time each week, regardless if you are using UIKit, AppKit or SwiftUI. Hot reloading is a technique allowing you to get rid of compiling your whole application and avoiding deploy/restart cycles as much as possible, all while allowing you to edit your running application code and see changes reflected as close as possible to real-time. This makes you significantly more productive by reducing the time you spend waiting for apps to rebuild, restart, re-navigate to the previous location where you were in the app itself, re-produce the data you need. You don’t need to add conditional compilation or remove Inject code from your applications for production, it's already designed to behave as no-op inlined code that will get stripped by LLVM in non-debug builds.
