Sgobin sgobin

## extra-emails-string.py
import re
texto = 'aqui vai a string com os meus@emails.com.br"
emails = re.findall(r'[\w\.-]+@[\w\.-]+', texto)

## python-virtualenv-virtualenvwrapper.sh
pip3 install virtualenvwrapper

# Checar onde entá instalado e qual esta sendo usado
which python3
which virtualenvwrapper.sh

#Virtual Env Python
export WORKON_HOME=$HOME/.virtualenvs   # Diretorio dos envs
export PROJECT_HOME=$HOME/pyprojects      # diretorio dos projetos
export PIP_VIRTUALENV_BASE=$WORKON_HOME

## find-numbers-who-sum.py
def subset_sum(numbers, target, partial=[]):
    s = sum(partial)

    # check if the partial sum is equals to target
    if s == target:
        print "sum(%s)=%s" % (partial, target)
    if s >= target:
        return  # if we reach the number why bother to continue

    for i in range(len(numbers)):

## speedtest.py
import os
import re
import subprocess
import time
import requests

#Usa um Webhook do IFTTT
URL = 'https://maker.ifttt.com/trigger/{NOME DO TRIGGER}/with/key/{CHAVE}'

#speedtest-cli => pip install speedtest-cli

## file-to-list.py
emails = []
arquivos = ['limpo-1.txt','limpo-2.txt','limpo-3.txt','limpo-4.txt','limpo-5.txt']

for arquivo in arquivos:
    with open(arquivo,'r') as arqLista:
        for linha in arqLista:
            emails.append(linha)

## remove-linhas-vazias.py
## Limpa linhas em branco dos arquivos
with open('5.txt') as infile, open('limpo-5.txt', 'w') as outfile:
    for line in infile:
        if not line.strip(): continue  # pula linha em branco
        outfile.write(line)  # escreve linha no novo arquivo

## check-used-images.py
# Recursively check for images in a directory and compare with referenced images in CSS and HTML files
# in tha folder, generating two CSV files:
# One with used images and one with not referenced ones
# (does not look into JS files)

import glob
import csv

# Create the list of file names
pasta = "src/"						#root of the project source files

## calcula-grid.py
#pede numero de rows e leading desejado
rows = int(input("Quantas rows: "))
leading = float(input("Leading em pontos: "))
alturaPapel = float(input('Altura do papel em pol: '))

#Calcula tamanho do papel em pontos
def convAltura(h):
    return h*72

#Calcula tamanho total do frame baseado em linhas de texto por row

## palindromos.py
#Abrir o arquivo
f = open('pt-BR-utf8', 'r')

#ler uma linha
for line in f:
    palavra = line.replace("\n", "")
    palavra = palavra.lower()
    #inverter a palavra
    palavra_reversa = palavra[::-1]

## extract_emails_from_text.py
#!/usr/bin/env python
#
# Extracts email addresses from one or more plain text files.
#
# Notes:
# - Does not save to file (pipe the output to a file if you want it saved).
# - Does not check for duplicates (which can easily be done in the terminal).
#
# (c) 2013  Dennis Ideler <ideler.dennis@gmail.com>
	import re
	texto = 'aqui vai a string com os meus@emails.com.br"
	emails = re.findall(r'[\w\.-]+@[\w\.-]+', texto)
	pip3 install virtualenvwrapper

	# Checar onde entá instalado e qual esta sendo usado
	which python3
	which virtualenvwrapper.sh

	#Virtual Env Python
	export WORKON_HOME=$HOME/.virtualenvs # Diretorio dos envs
	export PROJECT_HOME=$HOME/pyprojects # diretorio dos projetos
	export PIP_VIRTUALENV_BASE=$WORKON_HOME
	def subset_sum(numbers, target, partial=[]):
	s = sum(partial)

	# check if the partial sum is equals to target
	if s == target:
	print "sum(%s)=%s" % (partial, target)
	if s >= target:
	return # if we reach the number why bother to continue

	for i in range(len(numbers)):
	import os
	import re
	import subprocess
	import time
	import requests

	#Usa um Webhook do IFTTT
	URL = 'https://maker.ifttt.com/trigger/{NOME DO TRIGGER}/with/key/{CHAVE}'

	#speedtest-cli => pip install speedtest-cli
	emails = []
	arquivos = ['limpo-1.txt','limpo-2.txt','limpo-3.txt','limpo-4.txt','limpo-5.txt']

	for arquivo in arquivos:
	with open(arquivo,'r') as arqLista:
	for linha in arqLista:
	emails.append(linha)
	# Recursively check for images in a directory and compare with referenced images in CSS and HTML files
	# in tha folder, generating two CSV files:
	# One with used images and one with not referenced ones
	# (does not look into JS files)

	import glob
	import csv

	# Create the list of file names
	pasta = "src/" #root of the project source files
	#pede numero de rows e leading desejado
	rows = int(input("Quantas rows: "))
	leading = float(input("Leading em pontos: "))
	alturaPapel = float(input('Altura do papel em pol: '))

	#Calcula tamanho do papel em pontos
	def convAltura(h):
	return h*72

	#Calcula tamanho total do frame baseado em linhas de texto por row
	#Abrir o arquivo
	f = open('pt-BR-utf8', 'r')

	#ler uma linha
	for line in f:
	palavra = line.replace("\n", "")
	palavra = palavra.lower()
	#inverter a palavra
	palavra_reversa = palavra[::-1]
	#!/usr/bin/env python
	#
	# Extracts email addresses from one or more plain text files.
	#
	# Notes:
	# - Does not save to file (pipe the output to a file if you want it saved).
	# - Does not check for duplicates (which can easily be done in the terminal).
	#
	# (c) 2013 Dennis Ideler <ideler.dennis@gmail.com>