Search Results for "programming languages learning" - Page 5
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Showing 1291 open source projects for "programming languages learning"
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The Open Source Computer Science Degree
Video discussing this curriculum
The Open Source Computer Science Degree is a curated collection of free resources designed to help individuals learn computer science concepts without formal education. It aggregates courses, books, tutorials, and tools covering topics such as algorithms, data structures, systems design, and programming languages. The repository is organized to guide learners through a structured path similar to a university curriculum. It emphasizes accessibility, allowing anyone to gain a comprehensive CS education at no cost. The project is maintained by the community, ensuring that resources remain relevant and up to date. It is widely used by self-learners and developers seeking to strengthen foundational knowledge. ... -
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CS-Books
Collection of computer science textbooks, learning materials
CS-Books is a massive curated collection of computer science textbooks, learning materials, and resource links that covers a wide range of topics from programming languages like C/C++ and Python to core subjects such as data structures, algorithms, operating systems, databases, networks, and design patterns. The repository aggregates over a thousand classic reference books and educational resources into a single index, making it a valuable starting point for self-learners, students preparing for technical interviews, and professionals deepening their knowledge across different CS domains. ... -
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TPOT
A Python Automated Machine Learning tool that optimizes ML
Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. TPOT stands for Tree-based Pipeline Optimization Tool. Consider TPOT your Data Science Assistant. TPOT is a Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming. -
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XGBoost
Scalable and Flexible Gradient Boosting
XGBoost is an optimized distributed gradient boosting library, designed to be scalable, flexible, portable and highly efficient. It supports regression, classification, ranking and user defined objectives, and runs on all major operating systems and cloud platforms. XGBoost works by implementing machine learning algorithms under the Gradient Boosting framework. It also offers parallel tree boosting (GBDT, GBRT or GBM) that can quickly and accurately solve many data science problems.... -
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Quick Reference
Documentation, cheatsheets, and quick references for developers
Reference is an open-source collection of documentation, cheatsheets, and quick references for developers. It aggregates useful programming knowledge, syntax guides, and best practices across various programming languages, tools, and frameworks. -
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Rakudo
Rakudo – Raku on MoarVM, JVM, and JS
This is Rakudo, a Raku Programming Language compiler for the MoarVM, JVM, and Javascript virtual machines. Rakudo is distributed under the terms of the Artistic License 2.0. For more details, see the full text of the license in the file LICENSE. This directory contains only the Rakudo compiler itself; it does not contain any of the modules, documentation, or other items that would normally come with a full Raku distribution. If you're after more than just the bare compiler, please download... -
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Carbon Language
Carbon Language's main repository
Carbon is an experimental successor to C++, developed by Google to serve as a modern, safer, and more evolvable systems programming language—designed to interoperate with C++ while providing clearer language design and tooling. Performance matching C++ using LLVM, with low-level access to bits and addresses. Interoperate with your existing C++ code, from inheritance to templates. Fast and scalable builds that work with your existing C++ build systems. -
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Dasar Pemrograman Golang
Source Code E-book Dasar Pemrograman Golang
Goal, or Go is a programming language that was born in 2009. The goal has many advantages, as evidenced by a large number of large companies using this language in the development of their products, up to the level of production of course. This ebook is one of the many references that can be used as learning material for Go programming. The topics provided vary greatly from basic ( from 0), to adventurous chapters. -
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Microsoft MakeCode
Programming eXperience Toolkit
...Through its modular design, developers can create specialized editors and programming experiences tailored to specific devices or learning contexts. -
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AWS Neuron
Powering Amazon custom machine learning chips
AWS Neuron is a software development kit (SDK) for running machine learning inference using AWS Inferentia chips. It consists of a compiler, run-time, and profiling tools that enable developers to run high-performance and low latency inference using AWS Inferentia-based Amazon EC2 Inf1 instances. Using Neuron developers can easily train their machine learning models on any popular framework such as TensorFlow, PyTorch, and MXNet, and run it optimally on Amazon EC2 Inf1 instances. You can... -
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glad
Multi-Language Vulkan/GL/GLES/EGL/GLX/WGL Loader-Generator
Vulkan/GL/GLES/EGL/GLX/WGL Loader-Generator based on the official specifications for multiple languages. -
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vibecode-cli
The official vibecode.dev CLI built for agents
Vibecode CLI is a lightweight, AI-assisted command-line development tool designed to streamline coding workflows by integrating code generation, execution, and analysis directly into the terminal environment. It provides an interactive interface powered by modern terminal UI libraries, allowing developers to write, compile, and run code across multiple programming languages without leaving the command line. The tool leverages AI models to assist with code generation, debugging, and optimization, making it particularly useful for rapid prototyping and iterative development. . It supports a wide variety of programming languages and file types, enabling developers to work on diverse projects within a unified interface. ... -
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PythonPark
Python open source project "The Road to Self-Study Programming"
PythonPark is a large, curated “learning playground” for Python — essentially a comprehensive self-study meta-repository aimed at helping learners progress in Python programming, data science, machine learning, web scraping, and software engineering practices. It aggregates tutorials, learning guides, project examples, and resources across topics: from Python basics and data structures to machine learning, web scraping, and even interview preparation and “programmer life” guidance. ... -
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Perl 5
The Perl programming language
This repository contains the reference implementation of the Perl 5 programming language, including the interpreter, core modules, build system, and an extensive test suite. Perl 5 is a multi-paradigm language renowned for powerful text processing, rich regular expressions, and pragmatic glue code across systems. The core distribution is highly portable, building on Unix, Linux, Windows, and many other platforms, with stable release cycles and careful back-compatibility. A C API (XS) and... -
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Protocol Buffers
Google's data interchange format
Protocol Buffers are Google’s fast and simple, language- and platform-neutral, extensible mechanism for serializing structured data. It allows you to define how your data should be structured once, and then using a special generated source code, you can then easily write and read your structured data to and from a variety of data streams and using a variety of languages. Protocol Buffers currently supports a wide array of languages, including C++, Java, Python, Ruby, and many others with... -
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gplearn
Genetic Programming in Python, with a scikit-learn inspired API
gplearn implements Genetic Programming in Python, with a scikit-learn-inspired and compatible API. While Genetic Programming (GP) can be used to perform a very wide variety of tasks, gplearn is purposefully constrained to solving symbolic regression problems. This is motivated by the scikit-learn ethos, of having powerful estimators that are straightforward to implement. -
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Pixi
Package management made easy
Pixi is a next-generation, cross-platform package manager built on the conda ecosystem. Designed to streamline software development workflows, Pixi offers a declarative approach to managing environments and dependencies across multiple programming languages. Its compatibility with conda ensures access to a vast array of packages, while introducing enhancements like lockfiles and task automation to improve reproducibility and efficiency. -
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MLJ
A Julia machine learning framework
MLJ (Machine Learning in Julia) is a toolbox written in Julia providing a common interface and meta-algorithms for selecting, tuning, evaluating, composing and comparing about 200 machine learning models written in Julia and other languages. The functionality of MLJ is distributed over several repositories illustrated in the dependency chart below. These repositories live at the JuliaAI umbrella organization. -
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fklearn
Functional Machine Learning
fklearn uses functional programming principles to make it easier to solve real problems with Machine Learning. -
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Claude Cookbooks
A collection of notebooks/recipes showcasing ways of using Claude
...The content is organized into thematic sections, allowing users to explore specific capabilities or integration patterns systematically. Designed with accessibility in mind, the examples are primarily written in Python but can be adapted to other languages. -
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Geany
A fast and lightweight IDE
Geany is a powerful, stable and lightweight programmer's text editor that provides tons of useful features without bogging down your workflow. It runs on Linux, Windows and macOS, is translated into over 40 languages, and has built-in support for more than 50 programming languages. -
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MoonScript
A language that compiles to Lua
MoonScript is a dynamic scripting language that compiles into Lua. It gives you the power of one of the fastest scripting languages combined with a rich set of features. MoonScript can either be compiled into Lua and run at a later time, or it can be dynamically compiled and run using the moonloader. It’s as simple as requiring "moonscript" in order to have Lua understand how to load and run any MoonScript file. Because it compiles right into Lua code, it is completely compatible with... -
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machine_learning_examples
A collection of machine learning examples and tutorials
machine_learning_examples is an open-source repository that provides a large collection of machine learning tutorials and practical code examples. The project aims to teach machine learning concepts through hands-on programming rather than purely theoretical explanations. It includes implementations of many machine learning algorithms and neural network architectures using Python and popular libraries such as TensorFlow and NumPy. The repository covers a wide range of topics including supervised learning, unsupervised learning, reinforcement learning, and natural language processing. ... -
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The Agda standard library
The Agda standard library
...While we always try and write efficient code, we prioritize ease of proof over type-checking and normalization performance. If computational performance is important to you, then perhaps try agda-prelude instead. Agda is a dependently typed programming language. It is an extension of Martin-Löf’s type theory and is the latest in the tradition of languages developed in the programming logic group at Chalmers. Other languages in this tradition are Alf, Alfa, Agda 1, Cayenne. Some other loosely related languages are Coq, Epigram, Idris, and Lean. -
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Prompt Declaration Language
Prompt Declaration Language is a declarative prompt programming lang
LLMs will continue to change the way we build software systems. They are not only useful as coding assistants, providing snipets of code, explanations, and code transformations, but they can also help replace components that could only previously be achieved with rule-based systems. Whether LLMs are used as coding assistants or software components, reliability remains an important concern. LLMs have a textual interface and the structure of useful prompts is not captured formally. Programming...
