Skip to content

Instantly share code, notes, and snippets.

View cryptospectrum's full-sized avatar

Mark Aiello cryptospectrum

View GitHub Profile
@cryptospectrum
cryptospectrum / jux_py_1.pyw
Last active December 14, 2015 13:48
JUXTAPROCESS, Running Process Report with Python
from operator import itemgetter
import win32com.client
import time
run_time=time.ctime()
strComputer = "."
objWMIService = win32com.client.Dispatch("WbemScripting.SWbemLocator")
objSWbemServices = objWMIService.ConnectServer(strComputer,"root\cimv2")
procItems = objSWbemServices.ExecQuery("Select * from Win32_Process")
plist=[];
pcnt1=0
@cryptospectrum
cryptospectrum / svd_movie_code_01.m
Created March 14, 2013 01:31
Singular Value Decomposition and Compression of an Image Demo
G=imread('garlic_chive_flowers-color.tif','tif');
%G=imread('Cavolfiore_Di_Sicilia_Violetto.jpg','jpg');
G=double(G);
MG1 = ones(size(G(:,:,1),1),1)*mean(G(:,:,1));
MG2 = ones(size(G(:,:,2),1),1)*mean(G(:,:,2));
MG3 = ones(size(G(:,:,3),1),1)*mean(G(:,:,3));
G1 = G(:,:,1)-MG1;
G2 = G(:,:,2)-MG2;
G3 = G(:,:,3)-MG3;
@cryptospectrum
cryptospectrum / spec_var2_01.py
Created March 30, 2013 06:06
Spectrogram Example, Python
from pylab import *
import wave
sig = wave.open('ycn9999 _out.wav','r')
xsig = sig.readframes(-1)
xsig = fromstring(xsig, 'Int16')
f = sig.getframerate()
spectrogram = specgram(xsig[0:300000], Fs = f, scale_by_freq=True,sides='default')
axis('tight')
title('Spectrogram of Sound Synthesis Variant 2, with Python');
@cryptospectrum
cryptospectrum / memskit_03.ino
Created April 9, 2013 23:07
Arduino + accelerometer
/*
Memsic2125
Read the Memsic 2125 two-axis accelerometer. Converts the
pulses output by the 2125 into milli-g's (1/1000 of earth's
gravity) and prints them over the serial connection to the
computer.
The circuit:
* X output of accelerometer to digital pin 2
* Y output of accelerometer to digital pin 3
@cryptospectrum
cryptospectrum / midi_logistic_svm.m
Created July 14, 2013 21:21
Analyze Midi Files with Machine Leaning Algorithms
midi_fname='Scarlatti_Sonata_Longo483_K322.mid';
% MIDI scripts from: http://www.kenschutte.com/midi
midi = readmidi(midi_fname);
Notes = midiInfo(midi,0);
%diff start and stop times
dNo5=diff(Notes(:,5));
dNo6=diff(Notes(:,6));
% To Reconstruct Time Data
@cryptospectrum
cryptospectrum / wiki_latex_strip.py
Last active February 1, 2017 06:57
Scraping Latex Equations from Wikipedia Pages
import sys, requests
# requests is a third party module, more robust that urllib...
#http://docs.python-requests.org/en/latest/
from lxml import html
if len(sys.argv)==1:
#url_name="https://en.wikipedia.org/wiki/Fa%C3%A0_di_Bruno%27s_formula"
#url_name="https://secure.wikimedia.org/wikipedia/en/wiki/Euler%E2%80%93Maclaurin_formula"
#url_name="https://en.wikipedia.org/wiki/Generalized_normal_distribution"
url_name="https://en.wikipedia.org/wiki/Jacobi_elliptic_functions"
@cryptospectrum
cryptospectrum / hist_eqcv.m
Created July 22, 2013 02:42
Histogram Equalization
function [imeq,pdfim,cdfim]=hist_eqcv(im, nbins)
%__________________________________________________________________
% Description: Historgram Equalization
%
% Input Variables:
% Assume
% im = double(imread('image_file_name'));
% im=im(:,:,1);
% Get image format back
% im_retrieve=uint8(round(im));
@cryptospectrum
cryptospectrum / dna2midi_csum444.m
Created September 29, 2013 22:02
Turn DNA sequence into a MIDI file
% %loadfile.m @http://www.ece.rutgers.edu/~orfanidi/ece525/subspace.zip
[Y,T] = loadfile('Saccharomyces_cerevisiae_GENES.txt');
[RT,CT]=size(T);
for n=1:CT
DNA((n-1)*RT +1:n*RT)=T(:,n);
end
% % NAk=size(DNA,2);
NAk=1200;
N=floor(NAk/5);
M=zeros(N,6);
@cryptospectrum
cryptospectrum / jcan_scttM2.py
Created February 13, 2017 04:29
Candle Stick Scatter Plot
import datetime
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import time
import pandas as pd
# # import json
# # Keep q_symbol_dict.py in same directory
import q_symbol_dict
try:
@cryptospectrum
cryptospectrum / q_symbol_dict.py
Created February 13, 2017 04:31
Quote Symbol Dictionary, use with jcan_scttM2.py
def sym_dict(opt):
if opt==0:
symbol_dict = {
'XOM': 'Exxon',
'CVX': 'Chevron',
'COP': 'ConocoPhillips',
'VLO': 'Valero Energy',
'MSFT': 'Microsoft',
'IBM': 'IBM',
'T': 'AT&T',