konstantint

// 
// Example of communication with a subprocess via stdin/stdout
// Author: Konstantin Tretyakov
// License: MIT
//

#include <ext/stdio_filebuf.h> // NB: Specific to libstdc++
#include <sys/wait.h>
#include <unistd.h>
#include <iostream>

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

# 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

// Greedy solver for https://leprosorium.ru/comments/2379244/

let modeMap = {"fa-ellipsis-v": ":",
               "fa-ellipsis-h": "..",
               "fa-arrows-alt-v": "|",
               "fa-arrows-alt-h": "-",
               "fa-plus": "+",
               "fa-bomb": "[]",
               "fa-trash": "X",
               "fa-skull": "@"};

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

# 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