diff --git a/etc/python/README.md b/etc/python/README.md
deleted file mode 100644
index 4fb2e5dd2e549126d23f8dcf47d2cb3626796f15..0000000000000000000000000000000000000000
--- a/etc/python/README.md
+++ /dev/null
@@ -1,11 +0,0 @@
-# Using nshmp-haz with Python
-
-There are a few different packages that will allow you to call Java code from Python.
-This example uses jpype.  It also uses NumPy to simplify working with the arrays
-returned by the ground motion model calculators.
-
-## Requirements
-
-1. A [build](https://github.com/usgs/nshmp-haz/wiki/building-&-running) of nshmp-haz.
-2. [jpype](http://jpype.readthedocs.io/en/latest/install.html)
-3. [NumPy](http://www.numpy.org/)
diff --git a/etc/python/gmm-inputs.csv b/etc/python/gmm-inputs.csv
deleted file mode 100644
index dc4f5e207506b53a41b5e7fe9a0fc78178b47392..0000000000000000000000000000000000000000
--- a/etc/python/gmm-inputs.csv
+++ /dev/null
@@ -1,38 +0,0 @@
- dip, 
-0,
-2.5,
-5,
-7.5,
-10,
-12.5,
-15,
-17.5,
-20,
-22.5,
-25,
-27.5,
-30,
-32.5,
-35,
-37.5,
-40,
-42.5,
-45,
-47.5,
-50,
-52.5,
-55,
-57.5,
-60,
-62.5,
-65,
-67.5,
-70,
-72.5,
-75,
-77.5,
-80,
-82.5,
-85,
-87.5,
-90,
\ No newline at end of file
diff --git a/etc/python/gmmBatchExample.py b/etc/python/gmmBatchExample.py
deleted file mode 100644
index ff5c3dd4da960ec7f53da49b9cd1071f2c60dbaa..0000000000000000000000000000000000000000
--- a/etc/python/gmmBatchExample.py
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@@ -1,90 +0,0 @@
-## nshmp-haz Ground Motion Model (GMM) batch processing example script
-
-import requests
-
-## Read CSV file of GMM inputs
-#
-# Each column of the CSV file is a GMM input parameter with the
-# first row dictating that GMM input field.
-#
-# Example CSV to change only dip:
-# dip,
-# 0.0,
-# 45.0,
-# 90.0,
-#
-# For a full list of GMM input paramters see:
-# http://usgs.github.io/nshmp-haz/javadoc/gov/usgs/earthquake/nshmp/gmm/GmmInput.html
-#
-# If 'null' is supplied as a value or a GMM input field and values are
-# not given, the default values are used:
-# http://usgs.github.io/nshmp-haz/javadoc/gov/usgs/earthquake/nshmp/gmm/GmmInput.Builder.html#withDefaults--
-file = open('gmm-inputs.csv', 'r')
-
-inputs = file.read()
-
-file.close()
-
-
-## URL to POST the CSV file of GMM inputs
-# 
-# Must update the URL host if not on localhost.
-#
-# The GMMs must be specified in the URL query string.
-#
-# All GMM services are available to call for batch processing.
-host = 'http://localhost:8080'
-
-service = '/nshmp-haz/gmm/spectra'
-
-url = host + service
-
-query = { 'gmm': [ 'AB_06_PRIME', 'CAMPBELL_03', 'FRANKEL_96' ] }
-
-
-## Conduct HTTP POST Request
-#
-# Conduct a HTTP POST request, sending the CSV file of GMM inputs.
-#
-# The POST response is loaded into a object
-# following the returned JSON structure.
-svcResponse = requests.post(url, data = inputs, params = query).json()
-
-
-## Check Response
-#
-# Check to see if the response returned an error and check
-# to see if the field 'response' exists in the object.
-#
-# If the URL does not contain a query string of GMMs the response
-# returned will be the service usage.
-if svcResponse['status'] == 'error' and ~hasattr(svcResponse, 'response'):
-  exit()
-
-
-## Retreive the data
-#
-# Loop through each response spectrum response and obtain the means
-# and sigmas.
-for response in svcResponse['response']:
-
-  # Request structure contains the GMMs and GMM input parameters used
-  request = response['request']
-
-  # The GMMs used for the calculation
-  gmms = request['gmms']
- 
-  # The GMM input parameters used for the calculation
-  gmmInput = request['input']
-
-  # Get the means
-  for means in response['means']['data']:
-    data = means['data']
-    xMeans = data['xs']
-    yMeans = data['ys']
-
-  # Get the sigmas
-  for sigmas in response['sigmas']['data']:
-    data = sigmas['data']
-    xSigmas = data['xs']
-    ySigmas = data['ys']
diff --git a/etc/python/gmmExample.py b/etc/python/gmmExample.py
deleted file mode 100644
index 5819560c29f8cb10e9970e05d1b3dac497a14bb1..0000000000000000000000000000000000000000
--- a/etc/python/gmmExample.py
+++ /dev/null
@@ -1,78 +0,0 @@
-#!/usr/bin/env python
-## nshmp-haz Ground Motion Model (GMM) calculator example script
-
-# =========================================================================
-# This script provides instruction on how to access ground motion models
-# (GMMs) implemented in the nshmp-haz library.
-# =========================================================================
-
-from jpype import *
-import numpy as np
-
-# Specify path to nshmp-haz library:
-classpath = '/path/to/repository/nshmp-haz-master/build/libs/nshmp-haz.jar'
-
-# Start Java Virtual Machine and add nshmp-haz to classpath:
-startJVM(getDefaultJVMPath(), "-ea", 
-         "-Djava.class.path={0}".format(classpath))
-
-# Import packages:
-nshmp = JPackage("gov").usgs.earthquake.nshmp.etc
-
-# =========================================================================
-# Single ground motion calcuation:
-
-# Initialize calculator:
-hazMat = nshmp.HazMat.init(classpath)
-
-# Note that hazMat is stateless and reusable and should therefore be
-# initialized only once in a script if doing many calculations.
-
-# Set up a GMM input parameter object. These data are a source and site
-# parameterization that will satisfy all currently implemented Gmms. Note
-# that not all models will necessarily use all parameters.    
-gmmparams = nshmp.GmmParams()
-gmmparams.Mw = 6.5
-gmmparams.rJB = 5.0
-gmmparams.rRup = 5.1
-gmmparams.rX = 5.1
-gmmparams.dip = 90.0
-gmmparams.width = 10.0
-gmmparams.zTop = 1.0
-gmmparams.zHyp = 6.0
-gmmparams.rake = 0.0
-gmmparams.vs30 = 760.
-gmmparams.vsInf = True
-gmmparams.z2p5 = np.nan
-gmmparams.z1p0 = np.nan
-
-# Specify a ground motion model. GMM identifiers:
-# http://usgs.github.io/nshmp-haz/javadoc/gov/usgs/earthquake/nshmp/gmm/Gmm.html
-gmm = 'ASK_14';
-
-# Specify an intensity measure type (IMT). IMT identifiers:
-# http://usgs.github.io/nshmp-haz/javadoc/gov/usgs/earthquake/nshmp/gmm/Imt.html
-imt = 'PGA';
-
-# Do a calculation. The MatUtil.calc(gmm, imt, gmmInput) method returns an
-# array of [ln(median ground motion), sigma]
-ln_med_gm, sigma = hazMat.gmmMean(gmm, imt, gmmparams)
-
-print('ln(median ground motion), sigma:')
-print(ln_med_gm, sigma)
-
-# =========================================================================
-# Determinisitic response spectrum calculation:
-
-# The object returned by the MatUtil.spectrum(gmm, gmmInput) method may
-# be converted to NumPy arrays.
-# The returned HazMat Spectrum object is not iterable, so do this array 
-# by array.
-spectrumResult = hazMat.gmmSpectrum(gmm, gmmparams)
-pds = np.array(spectrumResult.periods)
-means = np.array(spectrumResult.means)
-sigmas = np.array(spectrumResult.sigmas)
-print('period, mean, sigma:')
-for i in range(len(pds)):
-    print(pds[i], means[i], sigmas[i])
-# =========================================================================