Paulina Marczak paulinamarczak

Creating a virtualenv based on a terrible conda env (ARCPRO)

These are some notes on how to manage R versions and then specific project dependencies

Found this tool rig to help with managing multiple versions of R on WSL/Ubuntu

Overview

Every time I setup VSCode for a python project I end up doing it incrementally. This is a guide to help me with a default env / configuration.

Micromamba is orders of magnitute faster than other conda envs, combined with a small simple installation

"${SHELL}" <(curl -L micro.mamba.pm/install.sh)

	def rows_as_update_dicts(cursor):
	colnames = cursor.fields
	for row in cursor:
	row_object = dict(zip(colnames, row))
	yield row_object
	cursor.updateRow([row_object[colname] for colname in colnames])

	with arcpy.da.UpdateCursor(r'c:\data\world.gdb\world_cities', ['CITY_NAME']) as sc:
	for row in rows_as_update_dicts(sc):
	row['CITY_NAME'] = row['CITY_NAME'].title()