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brew install
brew uninstall

apt-get install
apt-get remove

pkg install
pkg delete

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library('arcgisbinding')
arc.check_product()

# a FGDB source with a column 'datetime' containing our datetime field
d <- arc.open('a/fgdb/source')
df <- arc.select(d, 'datetime')

# convert from 1899-12-30 00:00 to UNIX Epoch, in seconds
as.unix.epoch <- (df$datetime[1]-25569)*86400

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#!/usr/bin/env bash

# source map: http://www.arcgis.com/home/item.html?id=0dd32a9c77b8400ebf60261571b9134b
echo "You must abide by the terms of use of this data:"
echo "  https://ref.data.gov.sg/common/terms.aspx"
echo "Agree to terms? (y|n)"
read input

if [ ${input} == 'y' ]; then

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# step 0 -- install miniconda into ~/miniconda
cd ~/miniconda/bin
# running this will drop you into the 'root' conda environment,
# the one that has the conda executable
source ./activate root
# to test, get the version of conda back
conda --version
# Now, you can run the conda command, and create a new environment.
# Here's an example installing a geo stack. Note I reference the 
# conda-forge channel '-c conda-forge' because geopandas isn't in 

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# Second example from RasterToNumPyArray (arcpy)
# http://resources.arcgis.com/en/help/main/10.2/index.html#//03q300000029000000
"""
A Python NumPy array is designed to deal with large arrays. There are many exist
ing Python functions that have been created to process NumPy arrays, the most no
ted being contained in the SciPy scientific computing package for Python. You ma
y want to convert an ArcGIS raster to a NumPy array to

  1. Implement one of the many existing Python functions that can be applied to a
     NumPy array (for example, run filters on the data, perform multidimensional

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from __future__ import print_function
from __future__ import division
from __future__ import unicode_literals

import ctypes.wintypes
import os

# cyptes constants
CSIDL_PERSONAL = 0x05
CSIDL_APPDATA = 0x1A

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Author: Sean Gillies Version: 1.0

Abstract

This document describes a GeoJSON-like protocol for geo-spatial (GIS) vector data.

Introduction

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@setlocal enabledelayedexpansion
@echo off
@CALL :normalizepath scripts_path "%~dp0"
@set env_text="%scripts_path%proenv.txt"

:: read the activte environment name
@set /p CONDA_NEW_ENV=<%env_text%

@set CONDA_SKIPCHECK=1
@set "CONDA_PREFIX=%CONDA_NEW_ENV%"

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colorama                  0.3.7                    py35_0    defaults
cycler                    0.10.0                   py35_0    defaults
future                    0.15.2                   py35_0    defaults
matplotlib                1.5.3              np111py35_0e  [arcgispro]  esri
mpmath                    0.19                     py35_1    defaults
netcdf4                   1.2.4                   py35_0e  [arcgispro]  esri
nose                      1.3.7                    py35_1    defaults
numexpr                   2.6.1              np111py35_0e  [arcgispro]  esri
numpy                     1.11.2                  py35_0e  [arcgispro]  esri
pandas                    0.19.0              np111py35_0    defaults

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x = [5, 10, 15, 20, 30, 40, 50, 60, 100, 140]

def range_finder(seq):
    it = iter(seq)
    prev = next(it)
    prev_diff = seq[1] - seq[0]
    r = 0
    for (i, item) in enumerate(it):
        diff = item - prev
        if diff != prev_diff: