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Pandas will integrate Apache Arrow in its 2.0 release. We compared the time needed to export a large block model to an open format.

Mining companies can leverage the power of Python to work with their geological data.

Using the open-access data from OpenStreetMap enables quick selection of specific features and transformation to GeoLime objects. Using their GIS digitalization makes easy the remove of inaccessible blocks.

We need your help to make creating block model reports easier and more efficient. For giving us some feedback, click here to sign up.

Our powerful Python library is designed for geologists, geoscientists & data scientists, providing a comprehensive set of tools for working with geological and geospatial data.

By using statistical techniques to identify and correct patterns of spatial dependence, declustering can help you improve the reliability and accuracy of your resource estimation, and take your mining projects to the next level.