Lucas-Kohorst

## Thanks to https://twitter.com/JNP7771 for the script at https://playcode.io/780618/

## imports
import requests
import json
import pandas as pd
import math
from beautifultable import BeautifulTable

x96 = math.pow(2, 96)

ivan-marquez

const axios = require('axios').default;

function getAPIClient() {
  const axiosConfig = {
    baseURL: 'https://csrng.net/csrng/csrng.php',
    timeout: 5000,
  };

  return axios.create(axiosConfig);
}

0xjac

The repository for the assignment is public and Github does not allow the creation of private forks for public repositories.

The correct way of creating a private frok by duplicating the repo is documented here.

For this assignment the commands are:

1. Create a bare clone of the repository. (This is temporary and will be removed so just do it wherever.)

git clone --bare git@github.com:usi-systems/easytrace.git

jianwu

#!/usr/bin/env node

const { argv } = require('process');

/**
Static http server implemented with NodeJS. 

Features:

1. No external dependencies

SunnyRaj

#!/usr/bin/env bash

sudo add-apt-repository -y ppa:ubuntu-toolchain-r/test
sudo apt update

sudo update-alternatives --remove-all gcc
sudo update-alternatives --remove-all g++
sudo apt-get install -y gcc-4.8 g++-4.8 gcc-4.9 g++-4.9 gcc-5 g++-5 gcc-6 g++-6 gcc-7 g++-7

sudo update-alternatives --install /usr/bin/gcc gcc /usr/bin/gcc-4.8 10

ianlewis

// vim: ft=javascript:
/*jslint sloppy: true, vars: true, white: true, nomen: true, browser: true  */
/*global SpreadsheetApp, UiApp, UrlFetchApp, Utilities */
/*
 * A script to automate requesting data from an external url that outputs CSV data.
 *
 * Adapted from the Google Analytics Report Automation (magic) script.
 * @author nickski15@gmail.com (Nick Mihailovski)
 * @author ianmlewis@gmail.com (Ian Lewis)
*/

sergiocampama

Google Spreadsheet Cryptoscrypt

Google Spreadsheet scripts for Coinbase and USD/BTC and USD/other currencies.

If you found this useful, donate XMR!: 44WvZj9zRXqgq3jHpemt8dLt29aDRQqdiK6ivxoCf3e65cdXbzBnHJyc2CdGWeGr36f5MBkqQBb61hus34nUVae4ND2PKx4

Made with love from Chile

schlamar

import os
import sys
import traceback
from functools import wraps
from multiprocessing import Process, Queue


def processify(func):
    '''Decorator to run a function as a process.
    Be sure that every argument and the return value

codysoyland

import functools

class memoize(object):
    def __init__(self, func):
        self.func = func
        self.cache = {}
    def __call__(self, *args):
        return self.cache_get(args, lambda: self.func(*args))
    def __get__(self, obj, objtype):
        return self.cache_get(obj, lambda: self.__class__(functools.partial(self.func, obj)))