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#Install-Module dbatools

#In case of scripts are disabled, run first : 
#powershell -noprofile -ExecutionPolicy bypass


import-module dbatools;

Get-ChildItem -Path "C:\CSV_PATH" | ForEach-Object {
    Import-DbaCsv -Csv $_.FullName -SQLInstance "DESKTOP-C5EUKT9" -Database "stagging" -AutoCreateTable

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def most_commons(List):
    """Return a new list with the most common elements
    in a list
    """
    from collections import Counter
    count = Counter(List)
    freq_list = count.values()
    max_cnt = max(freq_list)
    total = freq_list.count(max_cnt)
    most_commons = count.most_common(total)

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# Source : https://pythonprogramminglanguage.com/logistic-regression-spam-filter/
# dataset : https://archive.ics.uci.edu/ml/datasets/SMS+Spam+Collection

import pandas as pd
import numpy as np
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.linear_model.logistic import LogisticRegression
from sklearn.model_selection import train_test_split, cross_val_score

df = pd.read_csv(r'C:/Users/student/Desktop/spam detect logistic regression python/SMSSpamCollection', delimiter='\t',header=None)

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import urllib
import urllib2
import json


url = 'https://api.monkeylearn.com/v3/classifiers/cl_pi3C7JiL/classify/'


headers = {

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import os

CHROME_PATH = r"/Applications/Google\ Chrome.app/Contents/MacOS/Google\ Chrome"
url = "https://www.tidytextmining.com/tfidf.html"

def url_to_pdf(url, filename):

    chrome_args = [CHROME_PATH,

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-

"""
Import the content of each files in a folder in a unique csv
where each row contains the content of a file

Arguments:

-i or --inputfolder : path to the folder containing the files

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#!/usr/bin/env python
#-*- coding: utf-8 -*-

"""
Script destiné à scraper les noms de cabinettards sur le vieux site au HTML très pourri de 4instance
"""

# J'importe les modules externes qui seront nécessaires
# A installer au préalable en ligne de commandes (ou dans le terminal de VSCode)
# exemple : pip install bs4 ; pip install requests ; pip install pandas ; pip install regex

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#!/usr/bin/env python

import csv
from pymarc import MARCReader
from os import listdir
from re import search

# change this line to match your folder structure
SRC_DIR = '/path/to/mrc/records'

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#!/usr/bin/env python3
# -*- coding: utf-8 -*-

import os
import requests
from bs4 import BeautifulSoup
import glob
from PyPDF2 import PdfFileMerger

#Todo: debug this function

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#!/usr/bin/env perl
#
# Match authors against VIAF
#
# License: http://dev.perl.org/licenses/artistic.html
#
# Author: Patrick Hochstenbach <[email protected]>
#
# Apr 2015
$|++;