Olá <NOME_EMPRESA>.
Vocês estão me enviando <email, ligação, SMS, via plataforma Whatsapp, via plataforma Telegram> comerciais não-solicitados, portanto SPAM.
No dia vocês enviaram ao meu uma mensagem comércial, com o seguinte texto:
<MENSAGEM>
Flavio brdsio
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| """ | |
| The most atomic way to train and run inference for a GPT in pure, dependency-free Python. | |
| This file is the complete algorithm. | |
| Everything else is just efficiency. | |
| @karpathy | |
| """ | |
| import os # os.path.exists | |
| import math # math.log, math.exp |
luzfcb
/ template_LGPD.md
Last active
July 11, 2025 17:24
Template LGPD - Template para solicitar exclusão de dados conforme a LGPD - Lei Geral de Proteção de Dados do brasil. LEI Nº 13.709, DE 14 DE AGOSTO DE 2018. Disclaimer: Não sou advogado e não me responsabilizo por qualquer coisa decorrente do uso desde conteudo. Use por sua conta e risco.
Lecture 1: Introduction to Research — [📝Lecture Notebooks] [
Lecture 2: Introduction to Python — [📝Lecture Notebooks] [
Lecture 3: Introduction to NumPy — [📝Lecture Notebooks] [
Lecture 4: Introduction to pandas — [📝Lecture Notebooks] [
Lecture 5: Plotting Data — [📝Lecture Notebooks] [[
FJR2
/ risk_parity_strategy.py
Last active
October 24, 2023 17:57
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| import pandas as pd | |
| import pandas_datareader.data as web | |
| import numpy as np | |
| import datetime | |
| from scipy.optimize import minimize | |
| TOLERANCE = 1e-10 | |
| def _allocation_risk(weights, covariances): |
villares
/ TSP_Hacking_Math.pyde
Created
June 1, 2017 01:38
by Peter Farrell https://twitter.com/hackingmath / https://github.com/hackingmath
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| '''From Coding Train | |
| https://youtu.be/BAejnwN4Ccw | |
| 3/2/2017 | |
| Added Genetic Algorithm | |
| 4/27/2017 | |
| ''' | |
| import random | |
| cities = []; |
juanplopes
/ cpf.py
Created
August 14, 2015 23:24
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| def next_digit(value, base): | |
| return value + str(sum(int(a)*b for a,b in zip(value, base))%11%10) | |
| def make_valid(value, ap2, base): | |
| return next_digit(next_digit(value, base), ap2+base) | |
| def is_valid_cpf(cpf): | |
| return make_valid(cpf[:9], [0], [1,2,3,4,5,6,7,8,9]) == cpf | |
| def is_valid_cnpj(cnpj): |
A personal diary of DataFrame munging over the years.
Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)