YuriyGuts

#!/usr/bin/env python3
"""
Given a dataset of blackout events, generate daily downtime stats and calendar visualizations.

-------------------
Prerequisites
-------------------
python3 -m venv ~/.virtualenvs/blackout-stats
source ~/.virtualenvs/blackout-stats/bin/activate
pip install pandas==1.5.2 matplotlib==3.6.2 july==0.1.3

YuriyGuts

#!/usr/bin/env python3

"""
Concatenate and encode dashcam videos stored on an SD card.

Assumes the videos are stored as *xxxx.avi / *xxxx.mp4 / *xxxx.mov, where xxxx is a
sequential index. This should be compatible with most dashcam SoC manufacturers.

System requirements and dependencies:
-------------------------------------

YuriyGuts

# -*- coding: utf-8 -*-
# Parse the numbers of Russian casualties in Ukraine from a news website, save them to CSV files, and plot them.
#
# Prerequisites:
# $ pip install beautifulsoup4==4.10.0 matplotlib==3.4.3 requests==2.26.0 pandas==1.3.4
#
# Usage:
# $ python3 russian_casualty_parser.py
#
# Output:

YuriyGuts

#!/usr/bin/env bash

# This script installs a PAM configuration script as a macOS launch daemon
# so that Touch ID for sudo is always available and persists across OS updates.
# NOTE: You might need to allow /usr/bin/env in Security & Privacy > Full Disk Access.

set -euo pipefail

PACKAGE_NAME="com.yuriyguts.persistent-touch-id-sudo"
CONFIG_SCRIPT_INSTALL_PATH="/usr/local/bin/${PACKAGE_NAME}.sh"

YuriyGuts

"""
Converts subtitles in a video from any format to plain text using ffmpeg.

Reads all files that match a glob pattern.
Writes output to current directory unless specified otherwise.

Usage: convert-subtitles.py <input_pattern> [output_folder]
Example: convert-subtitles.py ~/Videos/*.mkv
"""
import glob

YuriyGuts

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

import pandas as pd


input_filename = 'https://raw.githubusercontent.com/devua/csv/master/salaries/2018_june_final.csv'
output_filename = '2018_june_final_eng.csv'

df = pd.read_csv(input_filename)

YuriyGuts

@echo off

rem ===== Run this first: =====
rem @powershell -NoProfile -ExecutionPolicy Bypass -Command "iex ((new-object net.webclient).DownloadString('https://chocolatey.org/install.ps1'))" && SET PATH=%PATH%;%ALLUSERSPROFILE%\chocolatey\bin
rem choco feature enable -n=allowGlobalConfirmation
rem mkdir C:\Tools
rem choco install -y toolsroot
rem ===========================

rem ----- Essentials -----

YuriyGuts

// This is an example of a C# application that uploads a CSV dataset to DataRobot,
// runs a classification project in autopilot mode and prints the leaderboard
// using the V2 REST API. Here you can also see an example of interacting with the
// asynchronous API routes (upload project, set target).

// Since the WebClient class has limited HTTP functionality, we use the newer
// Microsoft.Net.Http.HttpClient class. Its methods are async; as a result,
// the C# code uses asynchronous operations too.

// You may need to install the following packages for this code to work:

YuriyGuts

#!/usr/bin/env python3

"""
Save or restore X11 desktop window arrangement.
Requires the `wmctrl` package to work.

Examples:
    window_arrange.py save
    window_arrange.py restore
    window_arrange.py --profile ~/.winlayout-home save

YuriyGuts

CartPole Q-Learning Agent

Solves the OpenAI CartPole-v0 environment using a tabular version of Q-Learning with discretized feature space and epsilon-decreasing exploration.

View Repository