v0.7-beta

• Support for resampling of data structured using non-standard CF-Time calendars.
• Added several ICCLIM and other indicators.
• Dropped support for Python 3.4.
• Now under Apache v2.0 license.
• Stable PyPI-based dependencies.
• Dask optimizations for better memory management.
• Introduced class-based indicator calculations with data integrity verification and CF-Compliant-like metadata writing functionality.

Class-based indicators are new methods that allow index calculation with error-checking and provide on-the-fly metadata checks for CF-Compliant (and CF-compliant-like) data that are passed to them. When written to NetCDF, outputs of these indicators will append appropriate metadata based on the indicator, threshold values, moving window length, and time period / resampling frequency examined.