peterbe

import hashlib
from functools import wraps

from django.core.cache import cache
from django.utils.encoding import force_text, force_bytes


def cache_memoize(
    timeout,
    prefix='',

bayesian_neural_network.ipynb

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

jckantor

from dateutil import rrule 
import datetime

# Generate ruleset for holiday observances on the NYSE

def NYSE_holidays(a=datetime.date.today(), b=datetime.date.today()+datetime.timedelta(days=365)):
    rs = rrule.rruleset()

    # Include all potential holiday observances
    rs.rrule(rrule.rrule(rrule.YEARLY, dtstart=a, until=b, bymonth=12, bymonthday=31, byweekday=rrule.FR)) # New Years Day  

techniq

from datetime import datetime
from sqlalchemy import Column, Integer, DateTime, ForeignKey
from sqlalchemy.orm import relationship
from sqlalchemy.ext.declarative import declared_attr
from flask_security import current_user


class AuditMixin(object):
    created_at = Column(DateTime, default=datetime.now)
    updated_at = Column(DateTime, default=datetime.now, onupdate=datetime.now)