M3nin0

#!/bin/bash

echo "Insira o endereço a ser analisado"
read ip

echo "Insira o numero de portas a ser analisado"
read port

for ((a=1; a <= port ; a++))

M3nin0

#!/bin/bash

echo "Insira o endereço a ser analisado"
read site_tk

echo "Baixar quantas vezes?"
read vezes

for ((a=1; a <= vezes ; a++))

M3nin0

@echo off
forfiles -p "CAMINHODOBANCO" -s -d -1 -m *.bak -c "cmd /c del /f /q @path"
stop
exit

M3nin0

import os
import json
from flask import Flask, request
import requests
import traceback

'''
Estrutura do json carregado pelo app
{
    "tokens": {

M3nin0

import numpy as np
from netCDF4 import Dataset

# Criando dado de exemplo
data_array = np.zeros((100, 100))

# Criando dataset
dataset = Dataset('dataset.nc', 'w', format='NETCDF4')

# Criando as dimensões que serão utilizadas

M3nin0

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
# Example to understand the difference between interpolation and regression

import numpy as np
from scipy import interpolate
import matplotlib.pyplot as plt
from sklearn.linear_model import LinearRegression

# ===== Regression

M3nin0

#include <iostream>
// Idea from: https://stackoverflow.com/questions/5171739/tostring-override-in-c

class Teste
{
        private:
        int a;

        public:
        Teste(int a)

M3nin0

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
%       Arbitrary Spectral Slope Noise Generation      %
%           with OCTAVE Implementation                 %
%                                                      %
% From Little, 1992. Adapted from R. Rosa (08/08/14)   %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

function x = powernoise(beta, N, varargin)
% Generate samples of power law noise. The power spectrum
% of the signal scales as f^(-beta).

M3nin0

import numpy as np
import pandas as pd
from sklearn import linear_model
import matplotlib.pyplot as plt

# Carregando os dados
data_owd = pd.read_csv('https://covid.ourworldindata.org/data/owid-covid-data.csv')

# Filtrando os dados (Canadá)
can = data_owd[data_owd.iso_code == 'CAN']

M3nin0

import stac

bdc_stac_service = stac.STAC('http://brazildatacube.dpi.inpe.br/bdc-stac/0.8.0/')
collection = bdc_stac_service.search({'collections': ['LC8SR'], "intersects": {"type": "Point", "coordinates": [-45, -13] }, "limit": 10})