Skip to content

Instantly share code, notes, and snippets.

View edwardleoni's full-sized avatar

Edward Leoni edwardleoni

View GitHub Profile
@edwardleoni
edwardleoni / wp.sh
Last active May 14, 2016 21:03 — forked from bgallagh3r/wp.sh
Wordpress: Bash Install Script -- Downloads latest WP version, updates wp-config with user supplied DB name, username and password, creates and CHMOD's uploads dir, copies all the files into the root dir you run the script from, then deletes itself!
#!/bin/bash -e
clear
echo "============================================"
echo "WordPress Install Script"
echo "============================================"
dbname=$1
dbuser=$2
dbpass=$3
installationPath=$4
echo "============================================"
@edwardleoni
edwardleoni / python-local.yml
Last active January 3, 2017 20:35
Docker-Python usage
web:
image: eduardoleoni/python3.6-django1.10
container_name: <container-name>
restart: unless-stopped
ports:
- "8000:8000"
volumes:
- /var/run/docker.sock:/tmp/docker.sock:ro
- ../project:/app/:rw #Overwrite "project" for your project folder
command: python /app/manage.py runserver 0.0.0.0:8000
proxy:
image: eduardoleoni/nginx-proxy:latest
container_name: <container_name_here>
restart: unless-stopped
ports:
- "80:80"
- "443:443"
volumes:
- /var/run/docker.sock:/tmp/docker.sock:ro
- ./nginx-proxy/nginx.tmpl/:/app/nginx.tmpl:rw
import base64, cv2, sys, os
from datetime import datetime
from elasticsearch import Elasticsearch
# Elastic
es = Elasticsearch()
# Get user supplied values
imagePath = sys.argv[1]
cascPath = "haarcascade_frontalface_default.xml"
import speech_recognition as sr
import subprocess
import time
import pyowm
import json
owm = pyowm.OWM('api_key')
subprocess.run(["spd-say", "hello, I am Matilda", "-t", "female2"])
time.sleep(2)
int ledPin1 = 0;
int ledPin2 = 3;
int ledPin3 = 5;
void setup() {
pinMode(ledPin1, OUTPUT);
pinMode(ledPin2, OUTPUT);
pinMode(ledPin3, OUTPUT);
}
import sys, boto3
aws_access_key_id=sys.argv[1]
aws_secret_access_key=sys.argv[2]
lex = boto3.client('lex-runtime', region_name="us-east-1", aws_access_key_id=aws_access_key_id, aws_secret_access_key=aws_secret_access_key)
while True:
var = input("")
from keras.models import Sequential
from keras.layers import Dense
import numpy
# load dataset
dataset = numpy.loadtxt("diabetes.csv", delimiter=",")
# split into input and ouput
input = dataset[:,0:8]
output = dataset[:,8]
from keras.models import load_model
import numpy
model = load_model('diabetes.h5')
predict_me = numpy.array([[1, 126, 60, 0, 0, 30.1, 0.349, 47]])
predictions = model.predict(predict_me)
rounded = [round(output[0]) for output in predictions]
from keras.models import load_model
import numpy
dataset = numpy.loadtxt("diabetes.csv", delimiter=",")
input = dataset[:,0:8]
output = dataset[:,8]
model = load_model('diabetes.h5')