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Remove any existing nvidia packages. (Note: Run this in bash, as the wildcard input to apt-get doesn't work in zsh)

sudo apt-get purge nvidia*

Update package listing and upgrade packages.

sudo apt update

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Nvidia drivers don't yet support linux kernel 5.9.* and a power outage in my house caused my server running Debian Testing (Bullseye) to reboot and upgrade to the latest kernel. The prices I pay for up-to-date software . . .

To use my Nvidia card I have to downgrade to the 5.8.0 kernel. I use the simple and reliable solution below. You need to be able to plug a display and keyboard into your machine though for the last part.

1. Add the following line to /etc/default/grub. This tells GRUB to save whatever setting you change on the GRUB screen during boot.

GRUB_SAVEDEFAULT=true
GRUB_DEFAULT=saved

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#!/usr/bin/env python3
"""Asynchronously download a list of links."""

from typing import Iterable
import asyncio
import logging
import pathlib
import sys

import aiofiles

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#!/bin/bash
# Installs the nightly NeoVim app image to /opt and symlink to /usr/local/bin
# This is the easiest way to install NeoVim nightly on a distro that doesn't package it.

# Should be run as root
if [ "${EUID:-$(id -u)}" -ne 0 ]; then
	echo Please run as root.
	exit 1
fi

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upstream nb {
        server 10.19.0.10:1234;
}

server {
        server_name example.com;

        location / {
                proxy_pass http://nb;
                proxy_set_header Host $host;

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import asyncio
import subprocess

from fastapi import FastAPI, WebSocket
from fastapi.responses import HTMLResponse


def nvidia_smi():
    try:
        msg = subprocess.run(

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Add "outline" to a PDF file

Install pdftk

Dump the metadata of the pdf file:

pdftk [pdf_to_update] dump_data_utf8 > meta.txt

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Set-PSReadlineOption -EditMode Emacs
Set-Alias vim nvim
Set-Alias python3 python

# Some unix shell hacks
Function which([string]$Name) { Get-Command $Name }
Function open($Name) { start $name }
Function l() {ls -Force}

# Git shortcuts from zsh git plugin

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import numpy as np
import cv2


def polar2cart(img: np.ndarray):
    """
    Convert image (B-scan) from Polar coordinates to Cartesian coordinates
    """
    
    # Resize image to square first

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"""
B. S. Reddy and B. N. Chatterji, “An FFT-based technique for translation, rotation, and scale-invariant image registration,” IEEE Transactions on Image Processing, vol. 5, no. 8, pp. 1266–1271, Aug. 1996, doi: 10.1109/83.506761.

Implemented in Numpy/OpenCV and Numpy/Scikit-Image

The OpenCV version is about 4 times faster than the Scikit-Image version.
"""
# Numpy/OpenCV implementation
import cv2
from scipy import signal