maphew

'''Measure and report the time it takes to simply `import arcpy`
  Part of https://community.esri.com/message/914048-re-what-is-your-import-arcpy-overhead?
'''
from timeit import default_timer as timer
start = timer()
from datetime import datetime, timedelta

from uuid import uuid4
eventid = datetime.now().strftime('%Y%m-%d%H-%M%S-') + str(uuid4())

maphew

'''List all User Shell Folders via ID number.

An alternative to the usual

    objShell = win32com.client.Dispatch("WScript.Shell")
    allUserProgramsMenu = objShell.SpecialFolders("AllUsersPrograms")

because "These special folders do not work in all language locales, a preferred
method is to query the value from User Shell folders"

palmerj

Creating a Cloud Optimised Geotiffs (COGs) for raster photo imagery

This process outlines the process for creating Cloud Optimised Geotiffs suitable for hosting in services such as AWS S3. COGs enables more efficient workflows use cases such as fast access from Functions as a Services (E.g AWS Lambda), or comsumption into client desktop GIS systems (e.g QGIS). For more details on COGs please see https://www.cogeo.org/in-depth.html

1. Create a mosaic

maphew

Leo 5.8.1 beta 1, http://leoeditor.com, is now available on GitHub.

Leo is an IDE, outliner and PIM, as described here.

  ![][22]   ![][10]   ![][11]
![][31]   ![][32]   ![][6]

huenisys

• during installation, set config to enabled
• edit policy, add your user on Local Comp Policy > Computer Configuration > Windows Settings > Security Settings > Local Policies > User Rights Assignment > Create symbolic links
• enable Windows Developer mode to bypass UAC requirement
• Search > For developer settings > Dev mode

shaunlebron

Transcribed from an interview with Toby Schachman and Paula Te on The Afrofuturist Podcast:

There's this notion of the open-source movement. There are a lot of things
that we totally resonate with that because it's about understanding how your
technology works. We're totally 100% on board with that.

But then there are other issues with the open-source community, where it's
very internet-based and so open-source ends up benefitting this group of
people who have really strong access to internet and understand how to use

brambow

# generate a data dictionary from an ArcGIS feature class
# tested with ArcGIS Pro/Python3
# Run from command prompt in ArcGIS Pro environment
# Takes 2 arguments: 1) path to feature class 2) path for output CSV file
# Example: python C:\arcpy_data_dictionary.py C:\yourgeodatabase.gdb\featureclassname C:\output.csv

import arcpy
import sys
import csv

bixb0012

#!python2
# Example 1a adapted from https://www.reddit.com/r/gis/comments/4rhvhh/map_automation_arcpymapping_make_lyr/
#
# Reference: 1) http://desktop.arcgis.com/en/arcmap/latest/analyze/arcpy-mapping/layer-class.htm
#            2) https://docs.python.org/2/library/json.html

import arcpy
import json

lyr = # Layer object, typically from arcpy.mapping.ListLayers (arcpy._mapping.Layer)

dcode

GitHub Flavored Asciidoc (GFA)

tsayen

#! /bin/bash
# Usage:
# ./git-move.sh path/to/file/or/dir path/to/destination/repo
echo "creating patch for path ${1}"
git log --name-only --pretty="format:" --follow  "${1}" \
 | sort -u | \
 xargs git log --pretty=email --patch-with-stat --reverse --full-index --binary -m --first-parent -- > "${2}/_patch_" \
&& echo "moving to destination repo at ${2}" \
&& cd "${2}" \
&& echo "applying patch" \