Change Log#

v0.x.x (Unreleased)#

New features#

  • Add multivariate_normal distribution class PR#23

Maintenance and fixes#

  • Update pyproject.toml to support building the package with both flit and setuptools PR#26

  • Improve testing structure and configuration PR#28

Documentation#

  • Add a section on running tests locally in contributing docs PR#28

  • Add a getting started page to the docs PR#30

v.0.3.0 (2022 Jun 19)#

New features#

  • Add DaskBackend to support using einops functions on Dask backed DataArrays PR#14

Maintenance and fixes#

Documentation#

  • Add Dask support guide PR#14

  • Add references to xhistogram and xrft in docs PR#20

v0.2.2 (2022 Apr 3)#

Maintenance and fixes#

  • Add license file to pyproject.toml and remove ignored manifest file PR#13

v0.2.1 (2022 Apr 3)#

Maintenance and fixes#

  • Add manifest file to include the license and changelog in the pypi package PR#12

v0.2.0 (2022 Apr 2)#

New Features#

  • Added skew, kurtosis and median_abs_deviation to stats module PR#3, PR#4

  • Improve flexibility and autorenaming in matmul PR#8

Maintenance and fixes#

  • Changed the automatic names in einops module to use dashes instead of commas

  • Make API coherent with the call signature da, dims=None, *, ... for stats and linalg modules PR#7.

  • Add tests on using summary stats on xarray.Dataset objects PR#9

Documentation#

  • Added info on how to cite the library on README and citation file

  • Added background/explanation page for the stats module. PR#5

  • Improve citation guidance PR#6

  • Add examples of summary stats usage on xarray.Dataset PR#9

  • Update the installation instructions with stable and development commands PR#10

Developer facing changes#

  • Added how-to release guide

v0.1 (2022 Jan 24)#

Initial version with modules: stats, linalg, einops and numba.