conda environments work well on both platforms (and also with macOS), but pip will not work smoothly on Windows because of an issue with the geospatial GDAL library. For instance, conda environments are preferable on Windows and pip environments on Linux (e.g., Debian/ Ubuntu) platforms. There are multiple answers to this question and the best option depends, to some extent, on personal preferences and the Operating System ( OS) - also referred to as platform. So how to deal with the challenge of having multiple Python interpreters (or environments) installed? However, the parallel existence of multiple Python interpreters is sometimes beneficial, for instance, when packages are installed that are not compatible with each other. As consequence packages might have been unintentionally or unknowingly installed for another Python interpreter than used in a project. Python’s two-fold development ( Python2 and Python3) and other parallel versions of Python (e.g., ESRI’s ArcGIS or Nvidia’s cuda Python versions) may cause that multiple versions of Python are installed on your computer (even though Python2 is about to disappear). Reservoir Volume (Sequent Peak Algorithm) Integrated Development Environments (IDEs)ġd Hydraulics (Manning-Strickler Formula)
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