bgusach

def multireplace(string, replacements, ignore_case=False):
    """
    Given a string and a replacement map, it returns the replaced string.

    :param str string: string to execute replacements on
    :param dict replacements: replacement dictionary {value to find: value to replace}
    :param bool ignore_case: whether the match should be case insensitive
    :rtype: str

    """

bsweger

Useful Pandas Snippets

A personal diary of DataFrame munging over the years.

Data Types and Conversion

Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)

jesslilly

Cron Job Wrapper Wish List

I want a script that will give me:

1. Logging
2. Log purging!
3. Email errors!
4. Prevent duplicate processes! (flock)
5. Source an environment file!
6. Anything else?

tekknolagi

#!/usr/bin/env python

import multiprocessing
import random
import time


class Logger:
    def __init__(self, num_lines, last_output_per_process, terminal_lock):
        self.num_lines = num_lines

evanscottgray

docker ps | awk {' print $1 '} | tail -n+2 > tmp.txt; for line in $(cat tmp.txt); do docker kill $line; done; rm tmp.txt

simoncos

refer to: https://stackoverflow.com/questions/39371772/how-to-install-anaconda-on-raspberry-pi-3-model-b

{USER}: pi

Install Miniconda 3:

wget http://repo.continuum.io/miniconda/Miniconda3-latest-Linux-armv7l.sh
sudo md5sum Miniconda3-latest-Linux-armv7l.sh # (optional) check md5
sudo /bin/bash Miniconda3-latest-Linux-armv7l.sh # -> change default directory to /home/pi/miniconda3

meganehouser

#coding:utf-8
import psutil
from mpl_toolkits.mplot3d import Axes3D
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation

TIME_NUM = 90
FRAMES = 360

ameyavilankar

import string
import nltk
from nltk.tokenize import RegexpTokenizer
from nltk.corpus import stopwords
import re

def preprocess(sentence):
	sentence = sentence.lower()
	tokenizer = RegexpTokenizer(r'\w+')
	tokens = tokenizer.tokenize(sentence)

BrambleXu

from collections import OrderedDict
import numpy as np
import spacy
from spacy.lang.en.stop_words import STOP_WORDS

nlp = spacy.load('en_core_web_sm')

class TextRank4Keyword():
    """Extract keywords from text"""
    

rainabba

#!/bin/bash
#
#This script assumes very little other than a fresh Ubuntu install (using the Windows store) on Win10 1709 or newer with WSL installed already
#In Powershell, run the following to install WSL and Ubuntu
#
#Enable-WindowsOptionalFeature -Online -FeatureName Microsoft-Windows-Subsystem-Linux
#Invoke-WebRequest -Uri https://aka.ms/wsl-ubuntu-1604 -OutFile ~/Ubuntu.zip -UseBasicParsing
#Expand-Archive ~/Ubuntu.zip ~/Ubuntu
#~/Ubuntu/ubuntu.exe
#