Pre-installation from live OS
This setup of Ubuntu with LUKS and LVM is tested on Ubuntu 18.04.
Boot Ubuntu from a Live OS and select the option to try Ubuntu without installing. Follow the steps I've outlined below. Let's assume you're installing to /dev/nvme0n1.
| # | |
| # This file MUST be edited with the 'visudo' command as root. | |
| # | |
| # Please consider adding local content in /etc/sudoers.d/ instead of | |
| # directly modifying this file. | |
| # | |
| # See the man page for details on how to write a sudoers file. | |
| # | |
| Defaults env_reset | |
| Defaults mail_badpass |
| # -*- coding: utf-8 -*- | |
| from bottle import route, run | |
| @route('/') | |
| def index(): | |
| return '<h1>Hello World/h1>' | |
| run(host='localhost', port=8000) |
Command-line arguments in Python show up in sys.argv as a list of strings (so you'll need to import the sys module).
For example, if you want to print all passed command-line arguments:
import sys
print(sys.argv) # Note the first argument is always the script filename.Command-line options are sometimes passed by position (e.g. myprogram foo bar) and sometimes by using a "-name value" pair (e.g. myprogram -a foo -b bar).
Inspired by this article. Neat tricks for speeding up integer computations.
Note: cin.sync_with_stdio(false); disables synchronous IO and gives you a performance boost.
If used, you should only use cin for reading input
(don't use both cin and scanf when sync is disabled, for example)
or you will get unexpected results.
x = x << 1; // x = x * 2
This is a short post that explains how to write a high-performance matrix multiplication program on modern processors. In this tutorial I will use a single core of the Skylake-client CPU with AVX2, but the principles in this post also apply to other processors with different instruction sets (such as AVX512).
Matrix multiplication is a mathematical operation that defines the product of
