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Pythonidae is a curated collection of scientific programming resources in Python, designed to support research and development across a wide range of disciplines. The repository organizes tools and libraries into domain-specific categories, including mathematics, statistics, machine learning, artificial intelligence, biology, chemistry, physics, earth sciences, and supercomputing. It also covers practical areas such as build automation, databases, APIs, computer graphics, and utilities, offering a structured reference for both academic and applied work. While the primary focus is on Python, some entries also highlight resources implemented in other languages like Julia, R, Go, and Java. The project emphasizes open contribution, allowing the community to continuously expand and refine the index. By gathering these resources in one place, Pythonidae acts as a central hub for scientific and data-driven programming with Python.

Features

• Curated index of Python resources for scientific programming
• Covers diverse domains including AI, biology, chemistry, and physics
• Includes mathematics, statistics, and data science tools
• Organized by topic for easy navigation and reference
• Lists related resources from other languages where relevant
• Open community contributions to keep the repository up to date

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