santaklouse

#!/usr/bin/env bash

# checck if pidof exists
PIDOF="$(which pidof)"
# and if not - install it
(test "${PIDOF}" && test -f "${PIDOF}") || brew install pidof

# find app in default paths
CO_PWD=~/Applications/CrossOver.app/Contents/MacOS
test -d "${CO_PWD}" || CO_PWD=/Applications/CrossOver.app/Contents/MacOS

erikbern

# First, let's create an awaitable object.
# In this case it's a very dumb container of integers.
# Any time a coroutine runs `await Thing(n)` it just resolves to n
# However, we could resolve it to something completely different if we wanted to

class Thing:
    def __init__(self, n):
        self._n = n

    def __await__(self):

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://

Darkflib

version: "2.4"
services:
  transmission: 
    image: linuxserver/transmission:latest
    network_mode: service:gluetun
    restart: always 
    environment:
      - PGID=100
      - PUID=1032
    volumes:

juancsr

Run docker in macos without docker desktop

NOTE: I want disclaimer that this work is not complete mine. Most of the work here is comming from: https://dhwaneetbhatt.com/blog/run-docker-without-docker-desktop-on-macos

Run brew doctor and update to make sure everything is working and up to date

$ brew doctor
$ brew update

vfarcic

#####################################################
# Running AWS Services In A Laptop Using LocalStack #
# https://youtu.be/8hi9P1ffaQk                      #
#####################################################

# Referenced videos:
# - Terraform vs. Pulumi vs. Crossplane - Infrastructure as Code (IaC) Tools Comparison: https://youtu.be/RaoKcJGchKM
# - Should We Replace Docker Desktop With Rancher Desktop?: https://youtu.be/bYVfCp9dRTE

#########

anvbis

Pwntools Cheatsheet

1. Program Interaction
2. Environment and Contexts
3. Logging and Output
4. Encoding, Packing and Utility
5. Assembly and Shellcraft
6. ELFs, Strings and Symbols
7. Return Oriented Programming
8. SROP and Sigreturn Frames

xdralex

Deep Learning

concepts

• forward and backward propagation
• vanishing gradient
• image convolution operation
• feature map, filter/kernel
• receptive field
• embedding
• translation invariance

ethaniel

HOWTO: Receive SMS via 4G/LTE Huawei stick on Raspberry Pi 4 and forward them via Telegram

I live abroad and have only 1 sim card slot in my phone. It holds the SIM card of the country that I am in right now. But I also have another SIM card from my home country which receives my banking SMS codes. I can't afford to lose the "home" SIM card, so I decided to keep it in my house and forward the SMS messages to my main phone and computer via Telegram (just like Whatsapp, but so much better).

I also made a choice to use a 4G/LTE stick instead of 3G, because the 3G signal in my area is getting worse in worse due to operators upgrading their equipment.

Prerequisites

1. Raspberry Pi 4
2. Huawei E8372 (but can be any similar)

Step 1 - Get the Huawei card to work properly with Raspberry

bmcbm

# Use systemd for managing NVIDIA driver suspend in drivers ====>>> PRIOR to version 470 <<<=====
# https://download.nvidia.com/XFree86/Linux-x86_64/450.66/README/powermanagement.html
# https://forums.developer.nvidia.com/t/unable-to-set-nvidia-kernel-module-parameters/161306
# Please note: In Fedora Linux you may need to just install the xorg-x11-drv-nvidia-power pakage 
# as sugested by @goombah88 in the comments below. 

TMP_PATH=/var/tmp
TMPL_PATH=/usr/share/doc/nvidia-driver-460/

echo "options nvidia NVreg_PreserveVideoMemoryAllocations=1 NVreg_TemporaryFilePath=${TMP_PATH}" | sudo tee /etc/modprobe.d/nvidia-power-management.conf