Timothy Spann tspannhw

Making Chiptune Music using Sonic Pi v2.0

Warning: this might not work on a RaspberryPi yet

I was curious about making retro gaming sounds using Sonic Pi. A couple of months and a lot of Googling later, here's the original Mario Bros theme as it was heard on the NES console.

I'm (just about) old enough to remember rushing home from school to play this game at Philip Boucher's house, sitting cross-legged in front of the TV till my feet got pins and needles. Working out how to recreate it for Sonic Pi was a lot of fun!

Getting the sounds of the NES chip

Realtime Data Visualization with Zeppelin via NiFi WebSocket

This is an example realtime data visualization method using Zeppelin, NiFi and Kafka together.

Since NiFi 1.1.0, it provides components to act as a WebSocket server. This example contains a Zeppelin notebook paragraph which uses %angular interpreter to establish a WebSocket connection with NiFi, and draw a pie chart using D3, refreshed automatically as it received updated data from NiFi in realtime manner.

And also, a NiFi template to run a WebSocket server, which exposes latest data for the pie chart. The data can be passed through a Kafka topic.

NiFi Example: Load CSV file into RDBMS Table using the traditional way and the new way using Record

Example Data

Ingested to the example flows by GenerateFlowFile:

ID, CITY_NAME, ZIP_CD, STATE_CD
001, CITY_A, 1111, AA
002, CITY_B, 2222, BB
003, CITY_C, 3333, CC

	1. Checkout source code from https://github.com/apache/incubator-zeppelin
	2. Custom build the code with spark 1.3 and with the respective Hadoop version.
	mvn clean package -Pspark-1.3 -Dhadoop.version=2.6.0 -Phadoop-2.6 -DskipTests
	3. Have the following jars in the spark classpath by placing them in the location $ZEPPELIN_HOME/interpreter/spark
	a. hbase-client.jar
	b. hbase-protocol.jar
	c. hbase-common.jar
	d. phoenix-4.4.x-client-without-hbase.jar

	4. Start Zeppelin

	<?xml version="1.0" ?>
	<template encoding-version="1.0">
	<description></description>
	<groupId>e5a5f628-0159-1000-afdb-0edd88ca8397</groupId>
	<name>template-nifi-oauth2</name>
	<snippet>
	<connections>
	<id>f66d8688-0159-1000-0000-000000000000</id>
	<parentGroupId>e5a5f628-0159-1000-0000-000000000000</parentGroupId>
	<backPressureDataSizeThreshold>1 GB</backPressureDataSizeThreshold>

	from flask import Flask
	from flask import request,jsonify
	import socket
	app = Flask(__name__)

	@app.route("/apply", methods=['GET'])
	def predict():
	h = request.args.get('host')
	r = {}
	if h == 'yahoo.com' or h == 'amazon.com':

	#!/usr/bin/env python3
	# Copyright 2017 Google Inc.
	#
	# Licensed under the Apache License, Version 2.0 (the "License");
	# you may not use this file except in compliance with the License.
	# You may obtain a copy of the License at
	#
	# http://www.apache.org/licenses/LICENSE-2.0
	#
	# Unless required by applicable law or agreed to in writing, software

	#!/usr/bin/env python3

	from collections import deque
	import threading
	import requests
	import time
	import wave
	import tensorflow as tf
	import numpy as np
	from tensorflow.contrib.framework.python.ops import audio_ops as contrib_audio