malemi

#!/usr/bin/env python3

import pandas as pd
import numpy as np
file_key = "1sIkC1vBalHB8SJsgpPazFGUSrMNUani6jLrOFS6IEFo"
df = pd.read_csv(f"https://docs.google.com/spreadsheets/d/{file_key}/export?format=csv")
for [item,number] in df.to_numpy():
    with open(item, 'w') as f:
        f.write(f'{{"number":"{number}"}}')

malemi

import numpy as np
from scipy.optimize import curve_fit
import pandas as pd
import datetime
import matplotlib.pyplot as plt

url = "https://raw.githubusercontent.com/pcm-dpc/COVID-19/master/dati-regioni/dpc-covid19-ita-regioni.csv"
df = pd.read_csv(url)

def line(x, a, b):

malemi

malemi

#python3
import numpy as np
from itertools import combinations_with_replacement
from pyemd import emd
from scipy import spatial
import gensim as gs

synzero = np.load('data/it/wiki_iter.m.syn0.npy')
synoneneg = np.load('data/it/wiki_iter.m.syn1neg.npy')
table = np.load('data/it/wiki_iter.m.table.npy')

malemi

//  QM Stat 0.2
//  Simple Data Mining Algorithms, (c) Mario Alemi 2010
//
//   This program is free software: you can redistribute it and/or modify
//   it under the terms of the GNU Affero General Public License as
//   published by the Free Software Foundation

//   This program is distributed in the hope that it will be useful,
//   but WITHOUT ANY WARRANTY; without even the implied warranty of
//   MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the

malemi

/**
 * Retrieves all the rows in the active spreadsheet that contain data and logs the
 * values for each row.
 * For more information on using the Spreadsheet API, see
 * https://developers.google.com/apps-script/service_spreadsheet
 */
function readRows() {
  var sheet = SpreadsheetApp.getActiveSheet();
  var rows = sheet.getDataRange();
  var numRows = rows.getNumRows();