jdmonty

public static bool Like(this string @string, string pattern, char wildcard = '%', bool ignoreCase = true)
{
    pattern = pattern.Replace(wildcard.ToString(), ".*");

    var options = RegexOptions.Singleline | RegexOptions.Compiled; 
    if (ignoreCase) options |= RegexOptions.IgnoreCase;

    var regex = new Regex(pattern, options);

    return regex.IsMatch(@string);

jdmonty

using System;
using System.Collections.Generic;
using System.Linq;
using System.Security;
using System.Web;
using System.Web.Hosting;

namespace PdfGenerator
{
    public class PdfGenerator

jdmonty

<!-- https://coderwall.com/p/mycbiq -->
<configuration>
    <system.webServer>
        <rewrite>
          <rules>
            <rule name="Main Rule" stopProcessing="true">
                    <match url=".*" />
                    <conditions logicalGrouping="MatchAll">
                        <add input="{REQUEST_FILENAME}" matchType="IsFile" negate="true" />
                        <add input="{REQUEST_FILENAME}" matchType="IsDirectory" negate="true" />

jdmonty

# Executes an IDbCommand and converts the resultset
# to a Powershell object collection
function ExecuteCommand(
  $command = { throw 'Command must be supplied' }
){
  $rows = @();
  $reader = $command.executereader()
  while($reader.read()){
    $values = new-object object;
    

jdmonty

@echo off
: make-alias.cmd
if "%1" == "" goto usage:

for /F "usebackq" %%v in (`"powershell $M = ipmo -PassThru "%1" ; $M.ExportedCommands.Keys"`) do doskey %%v=powershell ipmo "%1" ; %%v $*

echo Aliases: 
doskey /macros

goto done

jdmonty

#!/usr/bin/env python
# -*- coding: utf-8 -*-

"""
In Flipboard's article[1], they kindly divulge their interpretation
of the summarization technique called LexRank[2].

While reading Flipboard's article, you can, if followed point by point, 
reimplement their summarization algorithm.
Here are the steps/excerpts that stood out to me:

jdmonty

/// Markov chain that learns by observing data.
/// Let it observe a sequence of states.
/// Then you can ask it, given a state,
/// what are the probabilities of the next states occuring?
type MarkovChain (numStates : int) =

    let mutable numObservations = 0
    let mutable lastState = 0
    let mutable matrix = Array2D.create numStates numStates (0, 0)

jdmonty

Set-WindowsExplorerOptions -EnableShowHiddenFilesFoldersDrives -EnableShowProtectedOSFiles -EnableShowFileExtensions
Enable-RemoteDesktop

cinst git
choco install powershell
choco install sysinternals
cinst googlechrome
cinst 7zip.install
choco install nodejs.install
choco install ruby

jdmonty

$/
  docs/
  src/
  tests/
  samples/
  artifacts/
  packages/
  build/
 lib/

jdmonty

<?xml version="1.0" encoding="utf-8" ?>
<CodeSnippets  xmlns="http://schemas.microsoft.com/VisualStudio/2005/CodeSnippet">
	<CodeSnippet Format="1.0.0">
		<Header>
			<Title>Rx ObservableAsPropertyHelper</Title>
			<Shortcut>rxOAPH</Shortcut>
			<Description>Code snippet for a ReactiveUI ObservableAsPropertyHelper</Description>
			<SnippetTypes>
				<SnippetType>Expansion</SnippetType>
			</SnippetTypes>