benjaminchodroff

import ndef
import sys

# The NXP app expects an exact format of the following, including whitespace and quotes
#[
#  {
#    "type" : "55",
#    "mirrorparameters" : "",
#    "date" : 1655959791718,
#    "bytes" : "03504f41502e78797a2f636c61696d2f7075676a6173",

benjaminchodroff

benjaminchodroff

benjaminchodroff

#!/usr/bin/python2

import sys

import numpy
from scipy.io import wavfile
from scipy.signal import fftconvolve

def usage():
    print >> sys.stderr, "Usage: wavgrep.py --like|--similar|--this needle.wav haystack.wav"

benjaminchodroff

# Create a new ECS instance for classic
resource "alicloud_security_group" "vpc" {
  name        = "tf_test_foo"
  vpc_id = "${alicloud_vpc.vpc.id}"
}

resource "alicloud_security_group_rule" "allow_ssh" {
  type              = "ingress"
  ip_protocol       = "tcp"
  nic_type          = "intranet"

benjaminchodroff

pip install --upgrade qingcloud-cli
# CLI documentation: https://docs.qingcloud.com/cli/index.html
# API documentation: https://docs.qingcloud.com/api/index.html
# CLI Source: https://github.com/yunify/qingcloud-cli

# Python SDK Source: https://github.com/yunify/qingcloud-sdk-python
#Provision SubAccount in master account	manual - log in, create an access key, and install the python CLI for qingcloud with your key, secret, and zone set in ~/.qingcloud/config.yaml
#Create security group	
securitygroup=$( qingcloud iaas create-security-group --security_group_name "securitygroup-0000" | python -c 'import json,sys;print(json.load(sys.stdin)["security_group_id"]);' )
#Add security group rules (Ping and SSH)	

benjaminchodroff

Keybase proof

I hereby claim:

• I am benjaminchodroff on github.
• I am benjaminchodroff (https://keybase.io/benjaminchodroff) on keybase.
• I have a public key whose fingerprint is 7D04 501A 9446 11CD 602E 6F55 790B FC19 96BC 3A53

To claim this, I am signing this object:

benjaminchodroff

benjaminchodroff

import rpy2.robjects.lib.ggplot2 as ggplot2
import rpy2.robjects as ro
from rpy2.robjects.packages import importr
from rpy2.robjects import pandas2ri
pandas2ri.activate()
predprice = pd.DataFrame({"Predicted": [x for x in pred], "Actual": [y for y in price], "Color": [z for z in color], "Clarity": [x for x in clarity]})
yourdiamond = pd.DataFrame({"Predicted": [ypred],"Actual": [ypri]})

ro.globalenv['dataframe'] = predprice
pp = ggplot2.ggplot(predprice)

benjaminchodroff

#!/usr/bin/env python
import pyaudio
from numpy import zeros,linspace,short,fromstring,hstack,transpose,log
from scipy import fft
from time import sleep

#Volume Sensitivity, 0.05: Extremely Sensitive, may give false alarms
#             0.1: Probably Ideal volume
#             1: Poorly sensitive, will only go off for relatively loud
SENSITIVITY= 1.0