brentp

from sklearn import linear_model
from scipy import stats
import numpy as np


class LinearRegression(linear_model.LinearRegression):
    """
    LinearRegression class after sklearn's, but calculate t-statistics
    and p-values for model coefficients (betas).
    Additional attributes available after .fit()

sloria

# -*- coding: utf-8 -*-
'''recorder.py
Provides WAV recording functionality via two approaches:

Blocking mode (record for a set duration):
>>> rec = Recorder(channels=2)
>>> with rec.open('blocking.wav', 'wb') as recfile:
...     recfile.record(duration=5.0)

Non-blocking mode (start and stop recording):

GrahamDumpleton

Note that for client authentication the very latest mod_wsgi-express version is required.

For now this means installing from from the git repo. To install run:

pip install -U https://github.com/GrahamDumpleton/mod_wsgi/archive/develop.zip

To create a self signed server certificate so that can run HTTPS use:

samuelsmal

from pyspark.sql.functions import udf
from pyspark.sql.types import BooleanType

def regex_filter(x):
    regexs = ['.*ALLYOURBASEBELONGTOUS.*']
    
    if x and x.strip():
        for r in regexs:
            if re.match(r, x, re.IGNORECASE):
                return True

mentlsve

import org.bouncycastle.jce.provider.BouncyCastleProvider;

import java.math.BigInteger;
import java.security.*;

public class Main {

    public static void main(String[] args) throws NoSuchProviderException, NoSuchAlgorithmException, InvalidKeyException, SignatureException {

        // Crypto setup