tilacog

Formações societárias

MEI
- Não precisa de contador [source][1]
- até 60k / ano
- $49 / mês ($44 INSS + $5 ISS)
- [Cartilha com Cuidados do MEI][6]
Microempresa (ME)
<= R$ 360 K / ano

	import os
	import csv
	import sys
	from glob import glob
	from xml.etree import ElementTree as ET


	xsd_dir_path = 'PUT BASE DIRECTORY HERE :)'
	no_duplicate_tables = '--no-duplicates' in sys.argv
	done_tables = set()

	numsites=3
	all: invoices

	search-results.json:
	googler --count ${numsites} --exact --noprompt 'intitle:”index of” nfe xml' --json > $@

	sites.txt: search-results.json
	< search-results.json jq ".[]\|.url" \| sed 's/"//g' > $@

	invoices: sites.txt

	import collections
	import datetime
	import hashlib
	import random
	import string
	import sys
	from contextlib import suppress


	random.seed(0)

	#!/usr/bin/env python

	import json
	import sys


	def pprint_specfile(path, filters):

	record_fmt = '{r[name]}: {r[label]}'
	field_fmt = ' {f[order]}-{f[name]}'

	import zipfile
	from io import BytesIO


	def zipwalk(current_file, curr_path=''):
	"""Recursively walks into a zipped file tree while yielding non-zipped
	files content.
	"""
	data = BytesIO(current_file.read())

	import psycopg2
	from itertools import chain, permutations
	from graphviz import Digraph


	DB_SETTINGS = dict(
	host='localhost',
	database='database_name',
	user='user',
	password='*****',

	import rows
	from collections import Counter

	base_svg = '/path/to/drawing.svg'
	base_name = 'Fulano de Tal e Coisa'
	participants_table = rows.import_from_csv('/path/to/pyse-participantes.csv')

	with open(base_svg) as f:
	svg = f.read()

	import re
	import sys

	import yaml
	from bs4 import BeautifulSoup

	field_types = {
	'Branco(s)': None,
	'Zero(s)': None,
	'R$': 'decimal',