Python Coding Conventions - multiply-org/multiply-core GitHub Wiki

Use PEP8 ( https://www.python.org/dev/peps/pep-0008/ ). When using PyCharm, it will be checked automatically.

Use the same technology (i.e., python libraries) and same versions. These versions shall be established in the conda setup. Stack of technology: Python: 3.6 numpy: 1.12 and higher For processing of multidimensional data

xarray: 0.9 and higher For performant operations on netcdf data

Please let this list grow as functionalities are added. Current version numbers are suggestions from my side. Comment if you want/need to use other versions.