Showing 181-200 of 770 projects
A collection of LeetCode problems categorized by company frequency for developers to practice.
A collection of Java development resources, including design patterns, algorithms, and best practices.
A course in reinforcement learning for developers interested in building AI-powered applications.
A comprehensive collection of best practices and examples for natural language processing (NLP) using Python.
A collection of public resources about how software companies test their software
Datree is a policy enforcement solution to prevent Kubernetes misconfigurations from reaching production.
A compilation of resources from the Practical Ethical Hacking Udemy course, focused on Python-based security tools.
A comprehensive handbook for web and mobile app developers, covering various technologies and best practices.
A comprehensive collection of README templates and best practices for writing high-quality documentation.
AngularJS styleguide for teams, providing a set of best practices and conventions for building maintainable and scalable applications.
A payment application that demonstrates real-world usage of Cypress testing methods, patterns, and workflows.
A comprehensive deep learning course with TensorFlow focused on foundational concepts and practical applications.
A comprehensive interview guide covering various programming languages, data structures, and computer science topics.
An open-source collection of flashcards to help developers prepare for algorithms, data structures, and system design interviews.
A curated list of fuzzing resources for learning fuzzing and initial phases of exploit development.
A TypeScript-based boilerplate for building bulletproof Node.js APIs with best practices and common features.
A Go-based Kubernetes tutorial repository for developers to learn and practice container orchestration.
A collection of Spring Boot projects and tutorials for Java developers to learn and practice Spring Boot development
A comprehensive collection of JavaScript algorithms and data structures for developers to learn and practice.
A comprehensive guide to large language models (LLMs) for developers, covering interview prep, knowledge sharing, and more.
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