konstantint

// https://nauka.leprosorium.ru/comments/2349993/

#include <iostream>
#include <chrono>

using namespace std;
using namespace std::chrono;

long long f(int x) {
    if (x < 0) return 0;

konstantint

with _BehaviourFeatures as (
 ... inline the view definition ...
),
_ProfileFeatures as (
 ... inline the view definition ...
),
_ModelInputs as (
 ... concatenate the feature columns ...
)
select

konstantint

select
   s.Key
   v1.AverageTimeSpent,
   v1.NumberOfClicks,
   v2.Country
   v3.Purchase as Target
from vw_TrainSample s
left join vw_BehaviourFeatures v1 on v1.Key = s.Key
left join vw_ProfileFeatures v2 on v2.Key = s.Key
left join vw_TargetFeatures v3 on v3.Key = s.Key

konstantint

import sqlalchemy as sa
import pandas as pd
e = sa.create_engine("sqlite:///raw_data.sqlite")
pd.read_csv("raw_data.csv").to_sql("raw_data", e)

konstantint

# Executable transcript of https://www.digitalocean.com/community/tutorials/how-to-set-up-an-openvpn-server-on-ubuntu-16-04

sudo apt update
sudo apt install -y openvpn easy-rsa python
make-cadir ~/openvpn-ca
cd ~/openvpn-ca
cat <<EOT >> vars
# New values
export KEY_COUNTRY="EE"
export KEY_PROVINCE="Some Province"

konstantint

// Source code for the post:
//   https://www.quora.com/Can-you-write-a-program-for-adding-10-numbers/answer/Konstantin-Tretyakov
//   http://fouryears.eu/2018/03/17/a-program-for-adding-10-numbers/
//
// Runs with the following config.xml:
// <Config>
//    <InputProvider class="Enterprise.NumberSequenceProvider"/>
//    <OutputConsumer class="Enterprise.PeanoNumberPrinter"/>
//    <Solution class="Enterprise.TenNumberAddingSolution">
//        <Strategy class="Enterprise.AdditionStrategy"/>

konstantint

# Figure 5 from http://fouryears.eu/2016/11/17/the-secrets-of-spring-motion/
# Intended to be run from a Jupyter notebook cell

%pylab inline

g = 9.18
k = 2.0 * 8
L = 1.0
m = 1.0/9

konstantint

# Early Stopping Experiment with MNIST
# http://fouryears.eu/2017/12/05/the-mystery-of-early-stopping/
#
# Code adapted from: https://github.com/fchollet/keras/blob/master/examples/mnist_cnn.py
# By: Konstantin Tretyakov
# License: MIT

import keras
from keras.datasets import mnist
from keras.models import Sequential

konstantint

# "Paul-and-Simon sort"
# http://fouryears.eu/2017/07/25/sorting-in-linear-time/
# http://www-wjp.cs.uni-saarland.de/publikationen/PS80.pdf
#
# Copyright 2017, Konstantin Tretyakov
# License: MIT
 
from math import log2, ceil

def paul_and_simon_sort(a):

konstantint

function LiveWatcher(watch_posts, watch_users) {
    var self = this;
    var _oldListener;
    
    function newListener(d) {
        var el = document.createElement('div');
        el.innerHTML = JSON.parse(d.data).data;
        
        var post_id = parseInt(el.childNodes[0].getAttribute("data-post_id"));
        var user_login = el.childNodes[0].getAttribute("data-user_login");