Python

Ray + Zarr: a better way to scale plate reconstruction workflows featured image

Ray + Zarr: a better way to scale plate reconstruction workflows

Why I've moved from Dask to Ray for distributed raster processing, and why Zarr is the natural storage format to pair with it.

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Dr. Ben Mather
GPlately 2.0 is here featured image

GPlately 2.0 is here

GPlately version 2.0 has been released on GitHub — a major milestone for our open-source Python library for plate tectonic reconstructions. Here's a quick tour of what it can do.

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Dr. Ben Mather
Deep time spatio-temporal data analysis using pyGPlates with PlateTectonicTools and GPlately featured image

Deep time spatio-temporal data analysis using pyGPlates with PlateTectonicTools and GPlately

GPlately: a Python interface for deep-time spatio-temporal data analysis using pyGPlates, simplifying plate tectonic reconstructions.

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Dr. Ben Mather
Installing Python on Mac M1 featured image

Installing Python on Mac M1

The new Mac M1 processors are pretty cool, and are enough to convert this veteran Linux user to Mac. Since Mac M1, M2, etc. are all ARM-based there are some differences to be aware …

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Dr. Ben Mather
Installing Python on Mac M1 featured image

Installing Python on Mac M1

The new Mac M1 processors are pretty cool, and are enough to convert this veteran Linux user to Mac. Since Mac M1, M2, etc. are all ARM-based there are some differences to be aware …

avatar
Dr. Ben Mather

GPlates and pyGPlates workshop

A four-day workshop introducing participants to GPlates and pyGPlates for plate tectonic reconstructions and spatio-temporal data analysis. The course covers the GPlates desktop …

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Sabin Zahirovic
Constraining the response of continental-scale groundwater flow to climate change featured image

Constraining the response of continental-scale groundwater flow to climate change

A scalable numerical framework for continental groundwater flow modelling, constrained by hydraulic head, recharge, and borehole temperature data using Bayesian inversion.

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Dr. Ben Mather
PyCurious: A Python module for computing the Curie depth from the magnetic anomaly featured image

PyCurious: A Python module for computing the Curie depth from the magnetic anomaly

A Python package for computing Curie depth from magnetic anomaly data using Bayesian inference to probe the thermal structure of the Earth's crust.

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Dr. Ben Mather
Introducing Stripy featured image

Introducing Stripy

Geodynamicists from Sydney and Australian National universities have developed Stripy, a software module that allows scientists to efficiently place GIS ‘wrapping paper’ around the …

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Dr. Ben Mather
Introducing Stripy featured image

Introducing Stripy

Geodynamicists from Sydney and Australian National universities have developed Stripy, a software module that allows scientists to efficiently place GIS ‘wrapping paper’ around the …

avatar
Dr. Ben Mather