| from functools import wraps | |
| try: | |
| from functools import lru_cache | |
| except ImportError: | |
| def lru_cache(user_function): | |
| cache = {} | |
| @wraps(user_function) | |
| def wrapper(*args): | |
| key = tuple(args) |
| f <- function(x) cos(x*20) | |
| expi <- function(x) cos(x) + sin(x)*1i | |
| par(mfrow = c(1,2)) | |
| L <- 40 | |
| medias_Re <- c() | |
| fs <- c() | |
| as <- seq(0.01, 1, l = 140) | |
| animation::saveGIF({ | |
| for(a in as) { |
Advances in Financial Machine Learning, de Prado: http://www.quantresearch.org/
Machine Learning for Asset Managers, de Prado
Machine Learning for Factor Investing, Guida: http://www.mlfactor.com/
Big Data and Machine Learning in Quantitative Investment, Guida
Artificial Intelligence in Finance, Hilpisch: https://home.tpq.io/
Python for Finance 2d ed, Hilpisch
Derivatives Analytics with Python, Hilpisch
| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| import requests,json,sys | |
| # Script simples para consulta de dados na base dados nacional do SUS utilizando o CPF. | |
| # Jhonathan Davi A.K.A jh00nbr / Insightl4b lab.insightsecurity.com.br | |
| # Blog: lab.insightsecurity.com.br | |
| # Github: github.com/jh00nbr | |
| # Twitter @jh00nbr |