Ken-Kuroki

from datetime import datetime
import subprocess
import json

import requests


class SlackNotifier:
    def __init__(self, slack_url, msg='Done!'):
        self.start = datetime.now()

Ken-Kuroki

import pandas as pd
import numpy as np

df = pd.DataFrame([[1.,2.,np.nan,np.inf],[1.,2.,3.,4.,]]).T
df[np.isnan(df).any(axis=1) | np.isinf(df).any(axis=1)]

Ken-Kuroki

# Check nthreads() is large enough
println(Threads.nthreads())


function f(input)
     return input*2
end

function main()
    inputs = [i for i in 20:30];

Ken-Kuroki

Here's how to transfer your data frames between Python, R, and Julia by using Feather format. An article The Best Format to Save Pandas Data provides speed comparisons with other formats and concludes Feather is the best format to store data for a short term.

Note for pandas users: Feather doesn't support data frames with a custom index. Execute df.reset_index() before writing your data in a Feather file if you store anything in the pandas index.

Python

import pandas as pd
import feather

# read

Ken-Kuroki

from multiprocessing import Pool

def func(a):  # in case you want to pass multiple arguments, pack them by making a data type, or use starmap
    b = a**2
    return a, b  # return the argument in addition to the result for convenience

with Pool(20) as p:
    output = {k: v for k, v in p.imap(func, range(100))}

Ken-Kuroki

#!/bin/sh

for i in $(seq 01 10); do
    fallocate -l 1GB dummy${i}
done

for i in $(seq 01 10); do
    echo "File${i} start, $(date +%T)"
    cp dummy${i} /foo/bar/destination/
done

Ken-Kuroki

def get_colorcode(colormap, value):
    """
    Gets hex format colorcode (eg. '#ff0000') from a matplotlib colormap.
    
    Parameters
    ----------
    colormap : matplotlib.colors.Colormap
        Matplotlib colormap, a subclass of Colormap
    value : float
        Value in [0, 1) interval that specifies the color

Ken-Kuroki

import numpy as np
import pandas as pd
from ete3 import PhyloTree
from itertools import cycle

def generate_colorstrip(labels: pd.Series, save_file: str, palette: list = None) -> None:
    # labels must be a pd.Series whose index are leaf names and values are their labels
    if palette is None:
        palette = ["#4E79A7", "#A0CBE8", "#F28E2B", "#FFBE7D", "#59A14F",
              "#8CD17D", "#B6992D", "#F1CE63", "#499894", "#86BDB6",

Ken-Kuroki

def prime_factorize(n):
    answers = []
    while n % 2 == 0:
        answers.append(2)
        n //= 2
    f = 3
    while f**2 <= n:  # instead of f <= n**0.5
        if n % f == 0:
            answers.append(f)
            n //= f

Ken-Kuroki

def get_gcd(a, b):
    if b > a:
        a, b = b, a
    r = a%b
    if r == 0:
        return b
    else:
        return get_gcd(b, r)