muety

import requests
import os

url = 'http://www.zar.kit.edu/rss/feed.rss'
keywords = ['steuerrecht']
cache_file = 'cache.txt'
hook_url = 'http://middleman.ferdinand-muetsch.de/api/messages'
hook_sender_id = 'Watcher'
hook_recipient_id = ''

muety

# gunicorn --bind 0.0.0.0:8000 --workers 4 wsgi:app
# gunicorn --bind 0.0.0.0:8000 --workers 1 --threads 12 wsgi:app

import time
from flask import Flask

app = Flask(__name__)

# Requests from one client are not blocked by long-lasting requests from another client, as long as there are workers available
@app.route('/sleep')

muety

# Naive implementation of the Apriori algorithm in Python

# Example 2 from https://en.wikipedia.org/wiki/Apriori_algorithm
data = [
    {1,2,3,4},
    {1,2,4},
    {1,2},
    {2,3,4},
    {2,3},
    {3,4},

muety

/* Inspired by https://stackoverflow.com/a/27818661/3112139 */
public static void justifyListViewHeightBasedOnChildren (GridView listView) {
    ListAdapter adapter = listView.getAdapter();

    if (adapter == null) {
        return;
    }
    ViewGroup vg = listView;
    int totalHeight = 0;
    for (int i = 0; i < adapter.getCount(); i++) {

muety

import numpy as np
from scipy.ndimage import convolve
from sklearn.neural_network import MLPClassifier
from sklearn.datasets import fetch_mldata
from sklearn.model_selection import train_test_split, cross_val_score, GridSearchCV
from sklearn.externals import joblib
import os.path

PATH = 'mlp_model.pkl'

muety

import scala.io.Source

object Advent {
  def main(args: Array[String]): Unit = {
    val data = Source.fromFile("data/day1.txt").getLines.map(_.toInt).toList

    println(f"Part 1: ${data.sum}")

    /* Can someone help me get this second part a littler more Scala-like (more functional, less procedural)? Please let me know! */
    var seen: Set[Int] = Set()

muety

// https://leetcode.com/problems/two-sum

object TwoSum {
  def apply(nums: Array[Int], target: Int): Array[Int] = {
    nums.view.zipWithIndex.map(x => {
      val el = nums.view.zipWithIndex.drop(x._2 + 1).collectFirst {
        case y if y._1 + x._1 == target => y
      }
      Array(Option(x), el)
    }).collectFirst {

muety

'''
    A script to scrape restaurant reviews from tripadvisor.com or tripadvisor.de using Selenium.

    Author:     Ferdinand Mütsch <mail@ferdinand-muetsch.de>
    License:    MIT
    Updated:    January, 09 2018

    Installation:
        - Install `selenium` and `pandas` using pip
        - Install PhantomJS or get Chrome- or Firefox webdriver binaries and add them to your PATH (see http://selenium-python.readthedocs.io/installation.html#drivers)

muety

muety