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# adapted from https://github.com/ArmDeveloperEcosystem/arm-learning-paths/blob/main/content/install-guides/nerdctl.md
# modified for amd64

sudo apt-get update
sudo apt-get install containerd

NERDCTL_VERSION=$(curl -s https://api.github.com/repos/containerd/nerdctl/releases/latest | grep tag_name | cut -d '"' -f 4 | sed 's/v//')
wget https://github.com/containerd/nerdctl/releases/download/v${NERDCTL_VERSION}/nerdctl-${NERDCTL_VERSION}-linux-amd64.tar.gz
sudo tar -xzvf nerdctl-${NERDCTL_VERSION}-linux-amd64.tar.gz -C /usr/local/bin
rm nerdctl-${NERDCTL_VERSION}-linux-amd64.tar.gz

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ebpf.party Solutions

This is my solutions for exercises in ebpf.party.

Source code for the website is here https://github.com/DavidVentura/ebpf.party.

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FROM ubuntu:22.04 AS build

SHELL ["/bin/bash", "-c"]

RUN apt-get update \
    && apt-get install -y \
        curl \
        git \
        python3 \
        python3-pip \

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data("airquality")
old_airquality <- airquality
# clean the dataset
airquality <- airquality[
  complete.cases(airquality),
  !(names(airquality) %in% c("Month", "Day"))
]

pairs(airquality)
summary(airquality)

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Node Exporter Installation Guide (for Systemd)

Step 1: Create the node_exporter User

The node_exporter user should be non-privileged with a shell of /sbin/nologin. This user will own the necessary directories and will run the service.

sudo useradd --system --shell /sbin/nologin --no-create-home --home-dir /var/lib/node_exporter node_exporter

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#!/usr/bin/env python

import can
import asyncio
from typing import List
from can.notifier import MessageRecipient
from websockets.asyncio.server import broadcast, serve

connections = set()
interval = 0.1 # in seconds

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apiVersion: v1
kind: ServiceAccount
metadata:
  name: read-only-user
secrets:
  - name: read-only-secret
---
apiVersion: rbac.authorization.k8s.io/v1
kind: ClusterRole
metadata:

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#!/usr/bin/python3
# -*- coding: utf-8 -*-
from typing import Dict
from nvitop import Device, GpuProcess, NA
import docker
from rich.console import Console
from rich.table import Table
from rich import box

docker_client = docker.from_env()

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'''
Check if user in github follow you back or not
'''

import requests

username = input("Enter your username: ")

def main(username):

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#!/usr/bin/env python

"""
2020 update:
- More iterators, fewer lists
- Python 3 compatible
- Processes files in parallel
(one thread per CPU, but that's not really how it works)
2021 update:
- Change from legacy format (compat32)