Manim is a Python-based computational geometry framework designed for programmatic video production. It functions as a mathematical animation engine, allowing users to generate high-fidelity visual content by scripting scene definitions rather than using traditional timeline-based editing software. The library is built to translate code-based instructions into precise, frame-accurate animations, making it a tool for explaining complex mathematical functions, geometric proofs, and abstract theories. The engine distinguishes itself through a declarative scene graph that organizes visual element
This project is a library of declarative configuration patterns and templates for implementing network policies within Kubernetes clusters. It provides a collection of reference guides and ready-to-use snippets designed to establish pod isolation and zero-trust traffic rules. The project focuses on implementing a default-deny security posture, where all network traffic is blocked until explicitly authorized through a whitelist. It provides specific templates for restricting lateral movement and securing microservice boundaries using label-based selectors and port-specific filtering. Its capa
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The main features of mitmath/computational-thinking are: Learning and Reference.
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