CDAT 8.0
The CDAT team is pleased to announce the release of CDAT version 8.0
CDAT is distributed via anaconda:
conda create -n cdat8 -c conda-forge -c cdat cdat
Major changes in v8.0
New Name
UV-CDAT is now the "Community Data Analysis Tools" (CDAT)
Mainly CDAT is now a suite comprising many packages
9 developed directly by the CDAT team:
- Community Data Management System (CDMS) v3.0
- cdtime v3.0
- General Utilities (genutil) v8.0
- Climate Data Utilities (cdutil) v8.0
- Visualization Control System (VCS) v8.0
- DV3D v8.0
- VCS Addons v8.0
- Thermodynamic (thermo) v8.0
- Wheeler Kiladis (wk) v8.0
- cibots
- cdp
- output_viewer
A few more provided by the Python community at large
- vtk
- matplotlib
- basemap
- ipython
- jupyter
- nb_conda
- flake8
- autopep8
- spyder
- eofs
- windspharm
- esmpy
The split into many sub-packages allows us to release new features and bug fixes more frequently for each package, with CDAT releases unifying all these on a more regular release cycle
Vistrails is gone, VCDAT is in
We dropped support for our GUI-based version and are replacing it with a browser-based version: VCDAT
At the moment VCDAT is still in beta and is distributed separately see:
https://github.com/CDAT/vcdat/wiki
and
https://github.com/CDAT/vcdat/wiki/User-Installation
Support for Python 3
All CDAT packages are now available for both Python 2 and Python 3
Improved documentation
readthedocs and jupyter notebooks
cdms improved esmpy support with masking
Using esmf 7.1
Stability fixes
All packages
vcs markers improved
vcs log axes enabled again
Release Changes
Documentation
Documentation
Tutorials
Image/code galleries
Many thanks to users, testers, and developers for helping CDAT reach this milestone. In addition to new functionality, we have fixed several major and minor bugs in version 8.0 and therefore we strongly recommend users upgrade their CDAT installation.
Remarks:
Ever wonder if you should answer yes or no at the "send anonymous usage report" question.
Well those who answer yes help us as seen here