cgddrd

cgddrd

cgddrd

cgddrd

import pandas as pd

# 'reset_index' is required to turn a multi-level index back into columns.
df.groupby([pd.Grouper(key='my_date_column', freq='1D'), 'my_categorical_column']).count().reset_index()

cgddrd

Powershell - Switch Docker Engine

You can use the following command in Powershell to switch the Docker daemon engine between Windows and Linux:

& 'C:\Program Files\Docker\Docker\DockerCli.exe' -SwitchDaemon

cgddrd

import requests

REGISTRY_URL = "http://<HOST>/v2/"

proxies = {
  "http": None,
  "https": None,
}

def get_repositories():

cgddrd

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading;
using System.Threading.Tasks;

namespace ConsoleApp1
{
    class Poller

cgddrd

@echo off

rem Uninstall MSI application via Product-Key GUID Lookup.
rem Modified from original source: http://stackoverflow.com/q/30790561

rem Extract Product Key GUID for provided product name wildcard ('%%b'), before performing silent uninstall. 
for /f "skip=1 delims=" %%a in (
     'wmic product where "Name like '%%INSERT_PRODUCT_NAME_WILDCARD%%'" get identifyingnumber'
) do @for /f "delims=" %%b in ("%%a") do msiexec /x %%b /qb

cgddrd

Install OSX Parallels version 10 / 11 tools on Ubuntu server guest

• Create Ubuntu server instance under Parallels (obviously).

• Start VM, goto Actions - Install Parallels Tools... to mount the ISO image.

  • Note: if this fails, or updating tools for an existing guest you can do the following:
  • Goto Devices > CD/DVD 1 > Connect Image....
  • Select the following ISO image: /Applications/Parallels Desktop/Contents/Resources/Tools/prl-tools-lin.iso.
  • This will mount the tools CD image.

• From the terminal, run the following commands:

cgddrd

public class StochasticUniversalSampling {

    /**
     *
     * @param population - set of individuals' segments. Segment is equal to individual's fitness.
     * @param n - number of individuals to choose from population.
     * @return set of indexes, pointing to the chosen individuals in the population set
     */
    public int[] execute(double[] population, int n) {
        // Calculate total fitness of population