franTarkenton

Overview

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

Install - Linux / WSL

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

franTarkenton

Intro

Overview

• Install / configure Poetry
• VSCode Extensions

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.

franTarkenton

Overview

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

R Versions

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

Install new version

franTarkenton

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

jasonbot

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()