PyCurious version 1.2

Last release before v2.0

PyCurious version 1.1

Fixes a number of parallel bugs and introduces a new functions in the mapping module:

• ungrid for interpolating to unstructured points
• export_netcdf4 for exporting a dataset to netcdf4
• import_netcdf4 for importing a dataset to netcdf4

1.0.2

Update to version 1.0.2 to match Zenodo (hopefully!)

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

Ben Mather and Robert Delhaye

Formal release after JOSS review.

This version of pycurious implements the following functionality:

• Anaconda installation support (and fixes for Cython build issues)
• Checking if windows that exceed the extent of the domain
• Correct propagation of errors with Tanaka et al. 1999 approach
• Refactor code to compute the radial power spectrum
• Updated Docstrings and Jupyter notebooks
• Updated test suite (using pytest) to test for expected functionality of core routines
• PEP8 compliant code

Depreciated functions:

• CurieGrid.radial_spectrum_log; instead use CurieGrid.radial_spectrum and pass the argument power=0.5 for the same functionality.

PyCurious 0.4 release

Release to coincide with JOSS submission

PyCurious 0.3 release

Implemented

• pycurious.download module for downloading external sources
• Automated testing with pytest
• Automated docs generation with pdoc
• Minor bug fixes in several places

Still to do before JOSS submission:

• Neater documentation
• Iron out any deployment issues

v0.2 release

Version 0.2 of PyCurious

0.2 introduces:

• Python 3 support
• Parallel routines based on Python's multiprocessing module
• Clearer implementation of Bayesian analysis tools