studiawan

from ftplib import FTP

f = FTP('localhost') 
f.login('hudan') 

fd = open('2003.pdf', 'wb') 
f.retrbinary('RETR 2003.pdf', fd.write) 
fd.close() 
f.quit()

studiawan

import socket

s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect (('localhost', 21))

commands = ['USER hudan\r\n', 'PASS 123\r\n', 'HELP\r\n', 'QUIT\r\n']
i = 1
while True:
    try:
        if i > len(commands):            

studiawan

import socket

s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect (('localhost', 21))

commands = ['USER hudan\r\n', 'PASS 123\r\n', 'TYPE I\r\n', 'EPSV\r\n', 'MLSD\r\n', 'QUIT\r\n']
i = 1
while True:
    try:
        if i > len(commands):            

studiawan

#/usr/bin/env python

# a Python script to filter exported bib file from Mendeley Desktop
import sys
import glob
import os

# read all .bib files
bibfiles = glob.glob('*.bib')

studiawan

import socket

s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
s.connect(('localhost', 21))
welcome_msg = s.recv(1024).strip()
# print welcome_msg

commands = ['USER 5112100155\r\n', 'PASS 123\r\n', 'TYPE I\r\n', 'EPSV\r\n', 'QUIT\r\n']
i = 1
while True:

studiawan

import socket
import select
import sys

server_address = ('127.0.0.1', 80)
server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
server_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1)
server_socket.bind(server_address)
server_socket.listen(5)

studiawan

import socket

BUFF = 1024
mail_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
mail_socket.connect(('mail.***.edu', 143))
mail_socket.recv(BUFF).strip()

commands = ['a1 LOGIN ***@***.edu ***\r\n', 'a2 LIST "" "*"\r\n', 'a3 EXAMINE INBOX\r\n', 'a4 LOGOUT\r\n']
for command in commands:
	mail_socket.send(command)

studiawan

# https://nlpforhackers.io/training-ner-large-dataset/

import os
from nltk import conlltags2tree
import re
from nltk.stem.snowball import SnowballStemmer
import itertools
from nltk import tree2conlltags
from nltk.chunk import ChunkParserI
from sklearn.linear_model import Perceptron, SGDClassifier

studiawan

import sys
import csv
from pyparsing import Word, alphas, Suppress, Combine, string, nums, Optional, Regex


class AuthLogParser(object):
	def __init__(self, log_file):
		self.log_file = log_file
		self.authlog_grammar = self.__get_authlog_grammar()
	

studiawan

import sys
import multiprocessing
import csv
from pyparsing import Word, alphas, Suppress, Combine, string, nums, Optional, Regex


class ParallelLogParser(object):
	def __init__(self, log_file):
		self.log_file = log_file
		self.authlog_grammar = self.__get_authlog_grammar()