MinexPy 0.1.0

A practical toolkit for geoscience researchers and students

MinexPy

MinexPy is a practical toolkit for geoscience researchers and students who are learning how to solve real geoscientific problems with Python—or who want a deeper, more structured understanding of which Python tools fit which geoscience tasks.

Even though modern AI tools can help you prototype quickly, it’s still hard for beginners to answer questions like:

• Which library should I use for this exact problem?
• What’s the “standard” workflow in geoscience when using Python?
• How do I discover reliable tools without getting lost in hundreds of packages?

MinexPy aims to reduce that confusion by providing curated, beginner-friendly building blocks and sensible combinations of widely-used libraries, so you can focus more on the science and less on setup and guesswork.

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Installation

Install with pip:

pip install minexpy

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How to use

Like most Python packages, you install it and import what you need Documentation and examples will expand over time as modules are added.

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Roadmap / TODO

Want to contribute? Here are some high-impact areas to work on:

• Mapping module for geological, geochemical, and geophysical data

• Interpolation methods commonly used in geosciences (e.g., minimum curvature, triangulation, and others)

• AOI extraction from large satellite imagery (selecting/cropping a region of interest from big scenes)

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Contributing

Contributions are welcome—especially examples, notebooks/markdown tutorials, and new modules that follow the project’s goals:

• beginner-friendly

• practical workflows

• clear and detailed documentation using Google's docstrings guidelines