tavin

from base64 import b64encode
from subprocess import check_call
from subprocess import check_output
from tempfile import mkdtemp


def lambda_handler(_event, _context):
    tmp = mkdtemp(dir='/tmp')
    check_call(['pip', 'install', 'psycopg2', '--target', tmp])
    tar = check_output(['tar', '-C', tmp, '-cz', '.'])

tavin

#!/bin/bash
fibs=(1 1)
while ((fibs[-1] < 200))
do
    echo ${fibs[@]}
    fibn=$((fibs[-1] + fibs[-2]))
    fibs+=($fibn)
done

tavin

def consecutive(cond, axis):
    cond = np.moveaxis(cond, axis, -1)
    measure = np.zeros(cond.shape[:-1], dtype=np.uint32)
    diff = np.diff(cond)
    for index in np.ndindex(measure.shape):
        boundary = np.flatnonzero(diff[index])
        if not len(boundary):
            continue
        if cond[index][0]:
            boundary = np.insert(boundary, 0, -1)

tavin

#!/usr/bin/env python3

import matplotlib.pyplot as plt
import numpy as np
import statsmodels.formula.api as smf


x = np.linspace(0, 2, 100)
y = np.sqrt(x) * np.sin(2 * np.pi * x) + np.random.random_sample(100)