All Algorithms implemented in Python
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A Collection of application ideas which can be used to improve your coding skills.
Algorithms and Data Structures implemented in JavaScript for beginners, following best practices.
Algorithms and Data Structures implemented in Go for beginners, following best practices.
Optimizing compiler for React
Amplication brings order to the chaos of large-scale software development by creating Golden Paths for developers - streamlined workflows that drive consistency, enable high-quality code practices, simplify onboarding, and accelerate standardized delivery across teams.
📚 Community guides for open source creators
Programming style, best practices, and coding conventions.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Litmus helps SREs and developers practice chaos engineering in a Cloud-native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Community notes is at https://hackmd.io/a4Zu_sH4TZGeih-xCimi3Q
ansible-lint checks playbooks for practices and behavior that could potentially be improved and can fix some of the most common ones for you
DDD/Clean Architecture inspired boilerplate for Node web APIs
Interactive Go Interview Platform - 30+ coding challenges with instant feedback, AI interview simulation, competitive leaderboards, and automated testing. From beginner to advanced levels with real-world scenarios.
📚 Sample Android Components Architecture on a modular word focused on the scalability, testability and maintainability written in Kotlin, following best practices using Jetpack.
A set of exercises for deliberate Git Practice
A RuboCop extension focused on enforcing Rails best practices and coding conventions.