v0.5.0-beta

New features

• Hay (2011) has been fully translated to Python instead of NEURON (see #301)
• Databases are now self-contained (see #302)
• database "backend switching" (between ISFDataBase and ModelDataBase) is more convenient
• db_initializers are database backend agnostic (see #326)
• databases use msgpack again as an optimized format. See https://pypi.org/project/isf-pandas-msgpack/ for the un-deprecated version of pandas_msgpack (see #320)
• File locking configuration is evaluated lazily (see PR #297)

Other improvements

• CDK data has been published on https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/21W1HR, backed up in ibs_projects and removed from ISF
• Example parameter files are renamed and restructured for better readability
• Tutorials on activity data have a better explanation on the pipeline from empirical activity data to network activation simulations.
• Various documentation improvements (installation instructions, video, scrollable notebook cell output)
• refactored db_initializers into separate modules for easier maintenance

API changes

hay has been refactored since the Python translation. For backwards compatibility in the IBS group, a compatibility patch is available on the latest version of ibs_projects. You can apply compatibility patches by:

from ibs_projects import compatibility