diefans

apiVersion: v1
kind: Namespace
metadata:
  name: kong

---

apiVersion: v1
kind: Secret
metadata:

nkhitrov

import contextvars
import time

from concurrent.futures import ThreadPoolExecutor, as_completed

current_user = contextvars.ContextVar("ID of current user")
shared_user = contextvars.ContextVar("ID of shared user")

def say_hello():
    time.sleep(1)

GuillaumeDesforges

EDIT: check out fix-python instead, make Python run "as usual" on NixOS!

How to: make Python dependencies installed via pip work on NixOS

The issue

• You are using NixOS
• You start working on a Python project
• You manage the dependencies in a classic Python virtual environment using pip or poetry

sts10

A curated list of command-line utilities written in Rust

Note: I have moved this list to a proper repository. I'll leave this gist up, but it won't be updated. To submit an idea, open a PR on the repo.

Note that I have not tried all of these personally, and cannot and do not vouch for all of the tools listed here. In most cases, the descriptions here are copied directly from their code repos. Some may have been abandoned. Investigate before installing/using.

The ones I use regularly include: bat, dust, fd, fend, hyperfine, miniserve, ripgrep, just, cargo-audit and cargo-wipe.

• atuin: "Magical shell history"
• bandwhich: Terminal bandwidth utilization tool

mosquito

Docker compose as a systemd unit

Create file /etc/systemd/system/docker-compose@.service. SystemD calling binaries using an absolute path. In my case is prefixed by /usr/local/bin, you should use paths specific for your environment.

[Unit]
Description=%i service with docker compose
PartOf=docker.service
After=docker.service

AdamIsrael

Juju 2.0 on Centos7

Configure epel repository

yum -y install epel-release
yum repolist

Install LXD

mpneuried

# import config.
# You can change the default config with `make cnf="config_special.env" build`
cnf ?= config.env
include $(cnf)
export $(shell sed 's/=.*//' $(cnf))

# import deploy config
# You can change the default deploy config with `make cnf="deploy_special.env" release`
dpl ?= deploy.env
include $(dpl)

elerch

Our goal here is to have one USB stick to rule them all. Objectives:

• We want a full system - not a live CD
• We want to boot this system on a Macbook Pro (requires UEFI)
• We want to boot this system on a Acer C720 Chromebook (requires Legacy BIOS support)
• We want the system "functional"

The last bullet is subject to interpretation, but I'm defining functional as:

• X Windows works (with LXDE)

soareschen

This gist explains the steps required to install CUDA on Ubuntu 16.04 as well as enabling it inside LXD containers.

The setup assumes GTX 10 series hardware, tested with my GTX 1070.

Driver Installation

Download the latest Nvidia driver at http://www.nvidia.com/Download/index.aspx.

On 64-bit systems, install 32-bit OpenGL libaries first so that the driver will install

gwillem

# Add this snippet to the top of your playbook. 
# It will install python2 if missing (but checks first so no expensive repeated apt updates)
# gwillem@gmail.com

- hosts: all
  gather_facts: False
  
  tasks:
  - name: install python 2
    raw: test -e /usr/bin/python || (apt -y update && apt install -y python-minimal)