| let rows = document.querySelectorAll('.base1 tbody tr'); | |
| let domains = []; | |
| for (let row of rows) { | |
| let domain = row.querySelector('.field_domain a').textContent; | |
| domains.push(domain); | |
| } | |
| console.log(domains.join('\n')); |
| // ==UserScript== | |
| // @name Expired Domains script | |
| // @namespace http://tampermonkey.net/ | |
| // @version 0.2 | |
| // @description https://t.me/Lord_Alfred | |
| // @author Lord_Alfred | |
| // @match https://member.expireddomains.net/domains/*/* | |
| // @icon https://www.google.com/s2/favicons?sz=64&domain=expireddomains.net | |
| // @grant none | |
| // @require https://ajax.googleapis.com/ajax/libs/jquery/3.6.1/jquery.min.js |
| // SPDX-License-Identifier: GPL-2.0 | |
| /* | |
| * @author Ammar Faizi <ammarfaizi2@gmail.com> https://www.facebook.com/ammarfaizi2 | |
| * @license GPL-2.0 | |
| * @package tgvisd::Main::Preload | |
| * | |
| * Copyright (C) 2021 Ammar Faizi <ammarfaizi2@gmail.com> | |
| */ | |
| #if defined(__linux__) |
| # | |
| # SPDX-License-Identifier: GPL-2.0 | |
| # | |
| # Telegram Desktop Patch (tested for version 2.8.6 beta Linux x86_64) | |
| # Don't use it on different version, it may crash! | |
| # | |
| # Author: @ammarfaizi2, @Akiekano, @rLapz | |
| # Link: https://t.me/GNUWeeb/407041 | |
| # | |
| # Usage: |
This is a dataset of top 50 Spotify music from 2010 to 2019. Originally published at Kaggle:Top Spotify songs from 2010-2019 - BY YEAR which is scraped from Spotify: Organize your music
After cleaning the data, it contains 14 columns and 603 rows of data.
The type of attributes: 'title' is categorical. 'artist' is categorical. 'genre of the track' is categorical. 'year' is quantitative.
| // Manually export Twitter followers/following data from browser as a CSV | |
| // 1. navigate to followers/following page | |
| // 2. change "target_count" variable value below to desired number | |
| // 3. paste script into Javascript terminal and execute | |
| // 4. once collection is complete and you see download dialogue box - confirm | |
| // x. to stop manually at any time just execute "collect = false" | |
| var collect = true; | |
| var dat = {} |
| using System; | |
| using System.Diagnostics; | |
| using System.Text; | |
| using System.Threading.Tasks; | |
| // based on https://gist.github.com/AlexMAS/276eed492bc989e13dcce7c78b9e179d | |
| public static class ProcessAsyncHelper | |
| { | |
| public static async Task<ProcessResult> RunProcessAsync(string command, string arguments, int timeout) | |
| { |
| Index: ext/fts5/fts5Int.h | |
| ================================================================== | |
| --- ext/fts5/fts5Int.h | |
| +++ ext/fts5/fts5Int.h | |
| @@ -160,10 +160,11 @@ | |
| char *zDb; /* Database holding FTS index (e.g. "main") */ | |
| char *zName; /* Name of FTS index */ | |
| int nCol; /* Number of columns */ | |
| char **azCol; /* Column names */ | |
| u8 *abUnindexed; /* True for unindexed columns */ |
| """ | |
| This script removes stray lines from images using image processing techniques with OpenCV library. | |
| All credit where it's due - https://stackoverflow.com/a/45563349/4411757. Simon Mourier created a script in C# which I | |
| have ported to python. Tested with python 3.5 and opencv-python==3.4.2.17. Shoot your suggestions/improvements in the | |
| comments. Cheers! | |
| """ | |
| def clean_image(img): | |
| height, width = img.shape[:2] |
| In your Genymotion Android emulator… | |
| Settings -> Wifi -> Press and hold your active network | |
| Select “Modify Network” | |
| Select “Show Advanced Options” | |
| Select “Proxy Settings -> Manual” | |
| Set your Proxy to: 10.0.3.2 (Genymotion’s special code for the local workstation) | |
| Set your Port to: 8888 | |
| Press Save |
