吴彦欣 wuyanxin

## 单机多用户 JupyterLab 环境搭建.md

      
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                / 单机多用户 JupyterLab 环境搭建.md
            
            
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              June 24, 2024 08:51
            
              
                单机多用户 JupyterLab 环境搭建
              
          
    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


## main.go
package main

import (
	"context"
	"fmt"
	"os"
	"os/signal"
	"syscall"
	"time"

## bench.py
from __future__ import print_function
from math import sin, cos, radians
import timeit

'''
A simple Python benchmark.

Results on an overclocked AMD FX-8150 Eight-Core CPU @ 3.0 GHz, and
an Intel Core i5-2410M CPU @ 2.30GHz.

## color-conversion-algorithms.js
/**
 * Converts an RGB color value to HSL. Conversion formula
 * adapted from http://en.wikipedia.org/wiki/HSL_color_space.
 * Assumes r, g, and b are contained in the set [0, 255] and
 * returns h, s, and l in the set [0, 1].
 *
 * @param   Number  r       The red color value
 * @param   Number  g       The green color value
 * @param   Number  b       The blue color value
 * @return  Array           The HSL representation
	package main

	import (
	"context"
	"fmt"
	"os"
	"os/signal"
	"syscall"
	"time"
	from __future__ import print_function
	from math import sin, cos, radians
	import timeit

	'''
	A simple Python benchmark.

	Results on an overclocked AMD FX-8150 Eight-Core CPU @ 3.0 GHz, and
	an Intel Core i5-2410M CPU @ 2.30GHz.
	/**
	* Converts an RGB color value to HSL. Conversion formula
	* adapted from http://en.wikipedia.org/wiki/HSL_color_space.
	* Assumes r, g, and b are contained in the set [0, 255] and
	* returns h, s, and l in the set [0, 1].
	*
	* @param Number r The red color value
	* @param Number g The green color value
	* @param Number b The blue color value
	* @return Array The HSL representation