steveirl

<?php 

// get month name from number
function month_name($month_number){
	return date('F', mktime(0, 0, 0, $month_number, 10));
}


// get get last date of given month (of year)
function month_end_date($year, $month_number){

Bill

# This docker-compose.yml will run the Hypothes.is annotation server.
# (adapted from instructions here https://h.readthedocs.org/en/latest/INSTALL.html)
#
# Place this file in the working directory (clone of https://github.com/hypothesis/h)
# run with docker-compose up -d
#
# Now browse to Hypothes.is at http://192.168.59.103:8000/ and create an account
# You'll see the invitation email in Mailcatcher at http://192.168.59.103:1080/
# Click that invitation link and log in on your local Hypothes.is
# And you are ready to annotate!

fevangelou

# === Optimized my.cnf configuration for MySQL/MariaDB (on Ubuntu, CentOS, Almalinux etc. servers) ===
#
# by Fotis Evangelou, developer of Engintron (engintron.com)
#
# ~ Updated September 2024 ~
#
#
# The settings provided below are a starting point for a 8-16 GB RAM server with 4-8 CPU cores.
# If you have different resources available you should adjust accordingly to save CPU, RAM & disk I/O usage.
#

ipbastola

Safest way to clean up boot partition - Ubuntu 14.04LTS-x64, Ubuntu 16.04LTS-x64

Reference

Case I: if /boot is not 100% full and apt is working

1. Check the current kernel version

$ uname -r 

bryik

license: mit

hadley

library(shiny)
library(httr)

# OAuth setup --------------------------------------------------------

# Most OAuth applications require that you redirect to a fixed and known
# set of URLs. Many only allow you to redirect to a single URL: if this
# is the case for, you'll need to create an app for testing with a localhost
# url, and an app for your deployed app.

tanbro

单机多用户 JupyterLab 环境搭建

概述

在这篇短文中，我们记录了如何在使用 [Ubuntu][] 1804 LTS 操作系统的单台服务器上，建立用户隔离的 [JupyterLab][] Web 环境。

目标是：

• 操作系统的用户可以各自不受干扰的使用独立的 [JupyterLab][]
• 各个用户的 [Conda][] 环境可以自动的出现在 [JupyterLab][] 的 Kernel 列表中

wilenius

import sys
import openai

openai.api_key = "YOUR API KEY HERE"

topic = str(sys.argv[1])
iterations = int(sys.argv[2])

response = openai.ChatCompletion.create(
    model="gpt-3.5-turbo-0301",