jonperron

from django.http import HttpResponse
import pandas as pd

def foo():
  results = pd.Dataframe()

  response = HttpResponse(content_type='text/csv')
  response['Content-Disposition'] = 'attachment; filename=filename.csv'

  results.to_csv(path_or_buf=response,sep=';',float_format='%.2f',index=False,decimal=",")

LeCoupa

# Redis Cheatsheet
# All the commands you need to know


redis-server /path/redis.conf  # start redis with the related configuration file
redis-cli                      # opens a redis prompt


# Strings.

Arinerron

#!/bin/bash

# Give the usual warning.
clear;
echo "[INFO] Automated Android root script started.\n\n[WARN] Exploit requires sdk module \"NDK\".\nFor more information, visit the installation guide @ https://goo.gl/E2nmLF\n[INFO] Press Ctrl+C to stop the script if you need to install the NDK module. Waiting 10 seconds...";
sleep 10;
clear;

# Download and extract exploit files.
echo "[INFO] Downloading exploit files from GitHub...";

dreikanter

Symmetic encryption

For symmetic encryption, you can use the following:

To encrypt:

openssl aes-256-cbc -salt -a -e -in plaintext.txt -out encrypted.txt

To decrypt:

lopes

#!/usr/bin/env python3
#
# This is a simple script to encrypt a message using AES
# with CBC mode in Python 3.
# Before running it, you must install pycryptodome:
#
# $ python -m pip install PyCryptodome
#
# Author.: José Lopes
# Date...: 2019-06-14

fchollet

'''This script goes along the blog post
"Building powerful image classification models using very little data"
from blog.keras.io.
It uses data that can be downloaded at:
https://www.kaggle.com/c/dogs-vs-cats/data
In our setup, we:
- created a data/ folder
- created train/ and validation/ subfolders inside data/
- created cats/ and dogs/ subfolders inside train/ and validation/
- put the cat pictures index 0-999 in data/train/cats

royshil

#!/usr/bin/env python

import numpy as np
import cv2
import os
import v4l2capture
import select

if __name__ == '__main__':
    #cap = cv2.VideoCapture(0)

jpouellet

/* $ gcc cve_2016_0728.c -o cve_2016_0728 -lkeyutils -Wall */
/* $ ./cve_2016_072 PP_KEY */

#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <sys/types.h>
#include <keyutils.h>
#include <unistd.h>
#include <time.h>

nimasdj

<?php
// I made this array by joining all the following lists + .php extension which is missing in all of them. 
// please contribute to this list to make it as accurate and complete as possible.
// https://gist.github.com/plasticbrain/3887245
// http://pastie.org/5668002
// http://pastebin.com/iuTy6K6d
// total: 1223 extensions as of 16 November 2015
$mime_types = array(
'3dm' => array('x-world/x-3dmf'), 
'3dmf' => array('x-world/x-3dmf'), 

baraldilorenzo

##VGG16 model for Keras

This is the Keras model of the 16-layer network used by the VGG team in the ILSVRC-2014 competition.

It has been obtained by directly converting the Caffe model provived by the authors.

Details about the network architecture can be found in the following arXiv paper:

Very Deep Convolutional Networks for Large-Scale Image Recognition

K. Simonyan, A. Zisserman