robinknowles

Run Receipts in ParaView

Accompanies OnCFD Newsletter #158

Attached is an example ParaView script to create a "run receipt" summary of your results like this 👇

Straight from the command-line & ready to post into Slack/Teams/WhatsApp

jackellenberger

Migrating YouTube subscriptions from one account to another

It's a pain in the butt! there's no google-provided way to do it and the extensions that were written to do it are all terrible or non-functional. Luckily, youtube runs on "computers" and "computers" can be "hackarino'd" with just a bit of encouragement. Prereqs are a) ability to follow instructions b) maybe some familiarity with bash. I'm writing this from my mac, it'll be the sameish on linux and WSL.

This is for non-"brand" accounts, cause i'm not a brand. I'm a small business man, not a small business, man. I'm not a man either but whatever.

1. Download your subscriptions with Takeout

This at least is easy.

1. open youtube.com > profile icon > your data in youtube, should take you to myaccount.

SkyyySi

NONE OF THESE CLIENTS ARE VERIFIED BY ME FOR SECURITY OR ANYTHING ELSE! USE AT YOUR OWN RISK!

These are the current alternatives (with links when possible):

• NewPipe (which you should have either way for youtube-dl/yt-dlp integration)
• NewPipe fork by polymorphicshade, which includes SponsorBlock support.
• LibreTube (still in early beta)
• A web browser with uBlock Origin (or another ad-blocker; Enhancer for YouTube has one build-in, but uBlock is universal and more powerfull, in addition to allowing to also remove non-advertisement parts of the website, like the top shelf with recommended tags / search querries), Enhancer for YouTube, SponsorBlock and [Return YouTube Dislike](https://

1kastner

@ECHO OFF

SETLOCAL EnableDelayedExpansion

REM Insert your conda env here
SET CONDA_ENV=MY_DESIRED_CONDA_ENV

CALL :activate_conda_env

REM Insert your python script here

codebykyle

using namespace System.Collections.Generic


# Encapsulate an arbitrary command
class PaneCommand {
    [string]$Command

    PaneCommand() {
        $this.Command = "";
    }

shanselman

using namespace System.Management.Automation
using namespace System.Management.Automation.Language
 
if ($host.Name -eq 'ConsoleHost')
{
    Import-Module PSReadLine
}
#Import-Module PSColors
#Import-Module posh-git
Import-Module -Name Terminal-Icons

shanselman

{
    "final_space": true,
    "console_title": true,
    "console_title_style": "folder",
    "blocks": [
        {
            "type": "prompt",
            "alignment": "left",
            "horizontal_offset": 0,
            "vertical_offset": 0,

Sukonnik-Illia

# We need to ensure that c encoder will not be launched
@patch('json.encoder.c_make_encoder', None)
def json_dumps_with_two_digit_float(some_object):
    # saving original method
    of = json.encoder._make_iterencode
    def inner(*args, **kwargs):
        args = list(args)
        # fifth argument is float formater which will we replace
        args[4] = lambda o: '{:.2f}'.format(o)
        return of(*args, **kwargs)

jdbcode

# Source: https://stackoverflow.com/a/33597599/5391200

from pylab import *

cmap = cm.get_cmap('seismic', 5)  # matplotlib color palette name, n colors
for i in range(cmap.N):
    rgb = cmap(i)[:3]  # will return rgba, we take only first 3 so we get rgb
    print(matplotlib.colors.rgb2hex(rgb))

cmap = cm.get_cmap('plasma', 101)

Huud

# calculate mean and std deviation

from pathlib import Path
import cv2

imageFilesDir = Path(r'C:\your\dataset\dir\here\trainData')
files = list(imageFilesDir.rglob('*.png'))

# Since the std can't be calculated by simply finding it for each image and averaging like  
# the mean can be, to get the std we first calculate the overall mean in a first run then