carstein

use nix::sys::ptrace;
use nix::sys::signal::Signal;
use nix::sys::wait::{WaitStatus, wait};
use nix::unistd::{fork, ForkResult, Pid};

use std::collections::HashMap;
use std::ffi::c_void;
use std::os::unix::process::CommandExt;
use std::process::{Command, exit};

RuolinZheng08

def is_valid_state(state):
    # check if it is a valid solution
    return True

def get_candidates(state):
    return []

def search(state, solutions):
    if is_valid_state(state):
        solutions.append(state.copy())

petermcd

id,username,password,when,country,host_id
21,admin,7ujMko0admin,2019-02-02 10:39:27,China,0
22,pi,jdd,2019-02-02 10:40:09,United Kingdom,1
23,pi,kkk,2019-02-02 10:40:11,United Kingdom,1
24,pi,lk,2019-02-02 10:40:13,United Kingdom,1
25,pi,kk',2019-02-02 10:40:16,United Kingdom,1
26,pi,kjj,2019-02-02 10:40:18,United Kingdom,1
27,pi,fds,2019-02-02 10:42:55,United Kingdom,1
28,pi,eee,2019-02-02 10:42:56,United Kingdom,1
29,pi,fds,2019-02-02 10:42:57,United Kingdom,1

johncrossland

Sphinx with Markdown walkthrough for HTML and PDF output

This walkthrough installs Sphinx and configures it to output HTML and PDF from .md. If you install it on a VM, allocate over 25GB storage and multiple processors. You'll need Ubuntu 16.04 LTS, an internet connection, and sudo rights.

ryancollingwood

import pandas as pd
# docs can be found at http://gspread.readthedocs.io/en/latest/
import gspread
from oauth2client.service_account import ServiceAccountCredentials


def get_googlesheet_worksheet(json_keyfile_name, sheet_name, worksheet_name):
    scope = ['https://spreadsheets.google.com/feeds']
    creds = ServiceAccountCredentials.from_json_keyfile_name(json_keyfile_name, scope)
    

MMesch

#!/usr/bin/env python
"""
Robust B-Spline regression with scikit-learn
"""

import matplotlib.pyplot as plt
import numpy as np
import scipy.interpolate as si
from sklearn.base import TransformerMixin
from sklearn.pipeline import make_pipeline

kracekumar

# -*- coding: utf-8 -*-

import asyncio
import uvloop
from aiohttp.web import Application, MsgType, WebSocketResponse


def add_socket(app, socket, user_id):
    if user_id in app['connections']:
        pass

wrunk

from multiprocessing.pool import ThreadPool as Pool
from multiprocessing import Queue as PQueue
import Queue

my_dict = {
    'url1': 'url2',
    'url3': 'url4',
}

my_q = PQueue()

protrolium

ffmpeg

Converting Audio into Different Formats / Sample Rates

Minimal example: transcode from MP3 to WMA:
ffmpeg -i input.mp3 output.wma

You can get the list of supported formats with:
ffmpeg -formats

You can get the list of installed codecs with:

dupuy

Markdown and reStructuredText

GitHub supports several lightweight markup languages for documentation; the most popular ones (generally, not just at GitHub) are Markdown and reStructuredText. Markdown is sometimes considered easier to use, and is often preferred when the purpose is simply to generate HTML. On the other hand, reStructuredText is more extensible and powerful, with native support (not just embedded HTML) for tables, as well as things like automatic generation of tables of contents.