Search Results for "programming learning system"
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Showing 916 open source projects for "programming learning system"
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The Julia Programming Language
High-level, high-performance dynamic language for technical computing
Julia is a fast, open source high-performance dynamic language for technical computing. It can be used for data visualization and plotting, deep learning, machine learning, scientific computing, parallel computing and so much more. Having a high level syntax, Julia is easy to use for programmers of every level and background. Julia has more than 2,800 community-registered packages including various mathematical libraries, data manipulation tools, and packages for general purpose... -
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Professional Programming
A collection of learning resources for curious software engineers
Professional Programming is a long-running, curated collection of learning resources aimed at helping software engineers grow into well-rounded professionals. It goes far beyond basic “learn to code” material and covers topics like system design, debugging, testing, performance, security, architecture, and software craftsmanship. The list is organized by themes such as coding, design, operations, communication, and career, making it easy to dive into specific aspects of engineering practice. ... -
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System Design
Learn how to design systems and prepare for system design interviews
This project is an open, course-style repository designed to help you learn system design from fundamentals through advanced, interview-ready thinking. It organizes core networking and distributed-systems concepts into a structured path, so you can build intuition before jumping into “design X” exercises. It covers the building blocks that show up in real architectures, such as DNS, load balancing, caching, CDNs, proxies, scalability and availability tradeoffs, and storage patterns, then connects those pieces to larger system goals. ... -
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System Design Primer
Learn how to design large-scale systems
...The repository also contains study guides for short, medium, and long interview timelines, allowing learners to focus on both breadth and depth depending on their preparation needs. In addition, it includes flashcard decks designed to reinforce learning through spaced repetition, making it easier to retain key system design knowledge. -
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Python-programming-exercises
100+ Python challenging programming exercises
Python-programming-exercises is an educational repository containing more than 100 Python programming challenges. It is designed to help learners practice problem solving through short exercises rather than full applications. The exercises cover fundamentals such as strings, numbers, loops, lists, dictionaries, functions, regular expressions, file handling, classes, generators, and algorithmic thinking. Many problems include both a prompt and a suggested solution, making the repository... -
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Rust Programming Language
Empowering everyone to build reliable and efficient software
The Rust Programming Language is a language that empowers you to build reliable and efficient software. It runs blazingly fast and is memory-efficient, so it can power performance-critical services and run on embedded devices. It has a rich type system and ownership model, ensuring both thread and memory safety. Consisting of a standard library, great documentation and a friendly compiler, plus a top-notch build tool, package manager, auto-formatter and many other great tools, it’s the language of choice for increased productivity. ... -
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Functional Programming Jargon
Jargon from the functional programming world in simple terms
Functional Programming Jargon is an educational glossary that explains common functional programming terms in simpler language. It was created to make functional programming easier to approach by reducing the confusion caused by unfamiliar terminology. The project uses JavaScript ES2015 examples to make abstract ideas more concrete for web developers. It covers concepts from the functional programming world and, where appropriate, references terms used in the Fantasy Land specification. The... -
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Red Programming Language
Red is a next-generation programming language
Red is a next-generation programming language strongly inspired by Rebol, but with a broader field of usage thanks to its native-code compiler, from system programming to high-level scripting and cross-platform reactive GUI, while providing modern support for concurrency, all in a zero-install, zero-config, single 1MB file! During the work on the low-level parts of the new Red lexer, the need arised for intra-function factorization abilities to keep the lexer code as DRY as possible. ... -
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Thonny
Python IDE for beginners
Thonny is a Python IDE meant for learning programming. -
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GoBooks
List of Golang books
GoBooks is a curated collection of recommended books and learning resources for the Go programming language. It serves developers ranging from complete beginners to experienced engineers working with concurrency, performance, web development, and system design. The repository organizes titles into popular, starter, advanced, and web development categories. Each entry includes useful context such as publication date, author, format, and a short description. -
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The Acton programming language
The Acton Programming Language
Write programs that seamlessly run as a distributed system over an entire data center or region. All without a single line of RPC code. Acton automatically persists the state of your application (orthogonal persistence) to a built-in distributed backend. No need to use a database or message broker ever again. 0 lines of persistence code. Built-in redundancy; Acton's transactional, high-performance distributed RTS can seamlessly resume application state after hardware failures. Never stop for... -
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Pyro
Deep universal probabilistic programming with Python and PyTorch
Pyro is a flexible, universal probabilistic programming language (PPL) built on PyTorch. It allows for expressive deep probabilistic modeling, combining the best of modern deep learning and Bayesian modeling. Pyro is centered on four main principles: Universal, Scalable, Minimal and Flexible. Pyro is universal in that it can represent any computable probability distribution. It scales easily to large datasets with minimal overhead, and has a small yet powerful core of composable abstractions that make it both agile and maintainable. ... -
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Triton
Development repository for the Triton language and compiler
Triton is a programming language and compiler framework specifically designed for writing highly efficient custom deep learning operations, particularly for GPUs. It aims to bridge the gap between low-level GPU programming, such as CUDA, and higher-level abstractions by providing a more productive and flexible environment for developers. Triton enables users to write optimized kernels for machine learning workloads while maintaining readability and control over performance-critical aspects like memory access patterns and parallel execution. ... -
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Go by Example
1000+ Hand-Crafted Go Examples, Exercises, and Quizzes
Go by Example is a large hands-on curriculum for learning the Go programming language through examples, exercises, quizzes, and small projects. It contains more than a thousand hand-crafted programs intended to be fixed, completed, or studied directly. Lessons progress from installation and first programs through variables, control flow, arrays, slices, strings, maps, structs, functions, pointers, interfaces, and concurrency. -
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toBeBetterJavaer
An easy-to-understand and humorous Java study guide
toBeBetterJavaer is an extensive Java learning knowledge base designed to help developers progress from fundamentals to professional development topics. It combines original tutorials, learning roadmaps, reference material, and job-interview preparation in one organized repository. Core lessons cover syntax, object-oriented programming, collections, exceptions, I/O, networking, NIO, and modern Java features. -
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A to Z Resources for Students
Curated list of resources for developers
A to Z Resources for Students is a curated directory of learning materials, developer tools, programs, events, and career opportunities for students and early-career technologists. It helps users discover resources for learning programming languages, frameworks, AI, machine learning, cybersecurity, mobile development, and other technical fields. The collection also includes hackathons, competitions, internships, student programs, open-source opportunities, and networking communities. ... -
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PennyLane
A cross-platform Python library for differentiable programming
A cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network. Built-in automatic differentiation of quantum circuits, using the near-term quantum devices directly. You can combine multiple quantum devices with classical processing arbitrarily! Support for hybrid quantum and classical models, and compatible with existing machine learning libraries. -
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Lean 4
Lean 4 programming language and theorem prover
Lean 4 is both a programming language and an interactive theorem prover, designed to support formal reasoning while also functioning as an efficient and extensible general-purpose language. The project serves researchers, mathematicians, programmers, and formal methods users who need a system for writing machine-checked proofs as well as executable programs in the same environment. -
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Watlings
Learn WebAssembly by writing small programs
Watlings is an educational platform designed to teach WebAssembly concepts through interactive, browser-based exercises that guide users step by step in learning the WebAssembly text format (WAT). Inspired by projects like Rustlings, it provides a collection of small, focused challenges that help users understand how WebAssembly works at a low level, including instructions, memory management, and control flow. Each exercise presents partially completed code that the user must fix or complete, reinforcing learning through hands-on problem solving rather than passive reading. ... -
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NVIDIA Warp
A Python framework for accelerated simulation, data generation
...It enables developers to write kernel-level code in Python that is automatically compiled into efficient CUDA kernels, combining ease of use with near-native performance. The framework is designed for applications such as robotics, reinforcement learning, physical simulation, and differentiable computing, where performance and flexibility are critical. Warp provides a set of primitives for working with arrays, geometry, and physics operations, allowing users to implement complex simulations without writing low-level CUDA code directly. It also supports differentiable programming, enabling gradients to be computed through simulation pipelines, which is particularly valuable for machine learning integration. -
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Flower
Flower: A Friendly Federated Learning Framework
A unified approach to federated learning, analytics, and evaluation. Federate any workload, any ML framework, and any programming language. Federated learning systems vary wildly from one use case to another. Flower allows for a wide range of different configurations depending on the needs of each individual use case. Flower originated from a research project at the University of Oxford, so it was built with AI research in mind. -
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TensorRT
C++ library for high performance inference on NVIDIA GPUs
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference. It includes a deep learning inference optimizer and runtime that delivers low latency and high throughput for deep learning inference applications. TensorRT-based applications perform up to 40X faster than CPU-only platforms during inference. With TensorRT, you can optimize neural network models trained in all major frameworks, calibrate for lower precision with high accuracy, and deploy to hyperscale data centers, embedded, or automotive product platforms. ... -
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sectorlisp
Bootstrapping LISP in a Boot Sector
The sectorlisp project is a minimal implementation of the Lisp programming language designed to fit within extremely constrained environments. It is engineered to run in very small memory footprints, making it suitable for educational purposes and experimentation with low-level programming concepts. The project demonstrates how a functional programming language can be implemented with minimal resources while still retaining core features. -
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PyG
Graph Neural Network Library for PyTorch
PyG (PyTorch Geometric) is a library built upon PyTorch to easily write and train Graph Neural Networks (GNNs) for a wide range of applications related to structured data. It consists of various methods for deep learning on graphs and other irregular structures, also known as geometric deep learning, from a variety of published papers. In addition, it consists of easy-to-use mini-batch loaders for operating on many small and single giant graphs, multi GPU-support, DataPipe support,... -
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Learn Go
Master the fundamentals and advanced features of the Go language
Learn Go is a learning-focused repository built to teach Go from first principles through more advanced language and ecosystem features. It takes a course-like approach, starting with environment setup and the “Hello world” basics, then moving into variables, types, formatting, control flow, and functions. From there, it expands into Go’s practical structure for real projects, including modules, packages, and workspaces, plus useful commands for building and working with programs. The...
