Search Results for "programming languages learning" - Page 15
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Showing 1569 open source projects for "programming languages learning"
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Trivy
Find vulnerabilities, misconfigurations, secrets, SBOM in containers
...Trivy is praised by professionals from organizations worldwide. Are you a Trivy fan as well? We’d love to hear from you! Trivy detects vulnerabilities from a wide array of operating systems and programming languages, across different versions, and vulnerability sources. Detect common misconfigurations with Trivy, using the same familiar tool and workflow that you already have in place for vulnerabilities. Trivy scans Terraform, CloudFormation, Docker, Kubernetes, and many other IaC configuration files for security issues right alongside vulnerabilities. ... -
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whisper-timestamped
Multilingual Automatic Speech Recognition with word-level timestamps
Multilingual Automatic Speech Recognition with word-level timestamps and confidence. Whisper is a set of multi-lingual, robust speech recognition models trained by OpenAI that achieve state-of-the-art results in many languages. Whisper models were trained to predict approximate timestamps on speech segments (most of the time with 1-second accuracy), but they cannot originally predict word timestamps. This repository proposes an implementation to predict word timestamps and provide a more... -
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jimmer
A revolutionary ORM framework for both java and kotlin.
...Requires no special prior knowledge - veterans of any ORM can quickly and painlessly migrate. The learning curve is scientifically friendly, serving as a high-quality reference for new learners of ORM usage. -
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huihut interview
A summary of C/C++ technical interview basics
interview is a curated repository of technical interview questions, solutions, and explanations covering a wide range of topics in computer science and software engineering. It aims to help developers prepare for job interviews by providing sample problems in algorithms, data structures, system design, databases, and programming language intricacies, often with code snippets and discussion. The repo is designed so learners can practice real interview scenarios, compare approaches, and... -
Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Must-Watch JavaScript
JavaScript talks you have to see on functional programming
Must-Watch JavaScript is a curated list of high-quality talk videos, tutorials, and presentations about JavaScript — covering a variety of topics such as language features, best practices, frameworks, performance, tooling, and evolving JS ecosystem trends. Rather than being code-heavy, it serves as a learning resource for developers who want to gain conceptual wisdom, stay updated with JavaScript evolution, or learn from experts’ experiences and opinions. For someone who wants to deepen... -
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CodeMirror 5
In-browser code editor (version 5, legacy)
CodeMirror is a versatile text editor implemented in JavaScript for the browser. It is specialized for editing code, and comes with a number of language modes and addons that implement more advanced editing functionality. A rich programming API and a CSS theming system are available for customizing CodeMirror to fit your application, and extending it with new functionality. CodeMirror 5 is a JavaScript library that provides an embeddable code editor for web applications, featuring... -
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React Native ExecuTorch
Declarative way to run AI models in React Native on device
...The project supports a range of AI use cases, including large language models, computer vision, OCR, object detection, speech processing, segmentation, and embeddings. It helps React Native developers use local AI capabilities without needing deep native programming or machine learning infrastructure expertise. The library is especially relevant for privacy-first apps, offline experiences, and mobile products that need low-latency inference. Its main value is bridging React Native with native AI execution so apps can run powerful models directly on user devices. -
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Qwen3-Coder
Qwen3-Coder is the code version of Qwen3
...Qwen3-Coder supports an exceptionally long context window of 256,000 tokens, extendable to 1 million tokens using Yarn, enabling repository-scale code understanding and generation. It is capable of handling 358 programming languages, from common to niche, making it versatile for a wide range of development environments. The model integrates a specially designed function call format and supports popular platforms such as Qwen Code and CLINE for agentic coding workflows. -
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MCP Package Version
An MCP server that provides LLMs with the latest stable package
The Package Version MCP Server provides tools for checking the latest stable package versions from multiple package registries, including npm, PyPI, Maven Central, Go Proxy, Swift Packages, AWS Bedrock, Docker Hub, GitHub Container Registry, and GitHub Actions. -
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MyScaleDB
A @ClickHouse fork that supports high-performance vector search
...MyScaleDB enables developers to perform vector similarity searches using standard SQL syntax, eliminating the need to learn specialized vector database query languages. The database is optimized for high performance and scalability, allowing it to handle extremely large datasets and high query loads typical of production AI applications. -
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Quadratic
Data science spreadsheet with Python & SQL
Quadratic enables your team to work together on data analysis to deliver better results, faster. You already know how to use a spreadsheet, but you’ve never had this much power before. Quadratic is a Web-based spreadsheet application that runs in the browser and as a native app (via Electron). Our goal is to build a spreadsheet that enables you to pull your data from its source (SaaS, Database, CSV, API, etc) and then work with that data using the most popular data science tools today... -
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System Programming References
Linux System Programming Samples
Linux System Programming Samples for Ubuntu 20.04 is an open-source collection of practical examples, utilities, and reference implementations aimed at developers learning or working with low-level Linux system programming. The project focuses on real-world usage of POSIX APIs, process control, signals, threading, file I/O, IPC mechanisms, networking, and other essential components of Linux internals. -
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MentOS
An educational 32-bit linux-like Operating System
...Written in C, MentOS closely mimics a simplified Unix-like OS and includes hands-on implementations of key kernel features. Designed to be highly readable and modular, it offers a practical approach to learning systems programming through real-world kernel components, making it a valuable tool for operating system courses and personal exploration. -
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ort
Fast ML inference & training for ONNX models in Rust
ort is a high-performance Rust library that provides bindings to ONNX Runtime, enabling developers to run machine learning inference and training workflows directly within Rust applications using the standardized ONNX model format. It is designed to bridge the gap between modern machine learning frameworks and systems programming by offering a safe, ergonomic API for executing models originally built in ecosystems like PyTorch, TensorFlow, or scikit-learn. -
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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... -
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Copilot.vim
GitHub Copilot for Vim and Neovim
Copilot.vim is a plugin that integrates GitHub Copilot — the AI code completion tool from GitHub — with Vim and Neovim. It effectively brings inline AI-powered code suggestions into the editor: you type a comment or a function name (or simply start coding) and Copilot proposes completions which you can accept (often via Tab) or reject. The plugin supports a variety of languages and code contexts, just as Copilot itself does, and aims to make the interaction feel native in Vim. Installation... -
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ELENA Programming Language
an object-oriented language with late binding
ELENA is a general-purpose, pure object-oriented language with late binding. It promotes more object-oriented program design, reusable and more standardized code. The package includes compiler, IDE, ELENA libraries and samples -
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Dagger
Containerized automation engine for programmable CI/CD workflows
...Dagger provides a core execution engine and system API that orchestrates containers, filesystems, secrets, repositories, and other resources needed during development pipelines. Developers can write pipelines using SDKs available for multiple programming languages, enabling integration with existing development stacks and tools. It focuses on repeatability and efficiency by running tasks incrementally and caching intermediate results so that only affected operations are re-executed when changes occur. -
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Onefetch
Git repository summary on your terminal
Onefetch is a command-line Git information tool written in Rust that displays project information and code statistics for a local Git repository directly on your terminal. The tool is completely offline, no network access is required. By default, the repo's information is displayed alongside the dominant language's logo, but you can further configure onefetch to instead use an image, on supported terminals, text input, or nothing at all. It automatically detects open source licenses from... -
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Brioche
A delicious package manager
Brioche is a modern package manager and build tool written in Rust, inspired by Nix. It focuses on reproducible builds and declarative project configurations, enabling developers to define build processes using JavaScript-like syntax. Brioche supports caching of build artifacts, automatic lockfile generation, and seamless integration with containerization tools, making it suitable for complex software projects. -
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PostgresML
The GPU-powered AI application database
PostgresML is a complete platform in a PostgreSQL extension. Build simpler, faster, and more scalable models right inside your database. Explore the SDK and test open source models in our hosted database. Combine and automate the entire workflow from embedding generation to indexing and querying for the simplest (and fastest) knowledge-based chatbot implementation. Leverage multiple types of natural language processing and machine learning models such as vector search and personalization... -
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FlatBuffers
Memory Efficient Serialization Library
...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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ZML
Any model. Any hardware. Zero compromise
ZML is a high-performance machine learning inference stack designed to run AI models efficiently across heterogeneous hardware environments using a modern systems programming approach. Built with technologies such as Zig, MLIR, and Bazel, it focuses on production-grade deployment where performance, portability, and scalability are critical. The system allows models to be compiled and executed across multiple types of accelerators, including GPUs and TPUs, even when distributed across different machines or locations. ... -
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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. -
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Swift Numerics
Advanced mathematical types and functions for Swift
...The modules are factored to keep dependencies minimal and to allow adopters to pull in only what they need. As a result, Swift Numerics underpins higher-level libraries in simulation, signal processing, and machine learning written in pure Swift.
