유니코드에서 한글을 어떻게 다루는지를 정리하였다.
- 유니코드(Unicode)는 전 세계의 모든 문자를 컴퓨터에서 일관되게 표현하고 다룰 수 있도록 설계된 산업 표준 (위키 백과)
- 단순히 문자마다 번호를 붙임
- 계속 업데이트되며 현재는 Unicode Version 9.0.0 이 최신이다.
- 유니코드를 실제 파일 등에 어떻게 기록할 것인지를 표준화한 것이다.
public class MainActivity extends android.support.v4.app.FragmentActivity { | |
// Only one MapView instance is allowed per MapActivity, | |
// so we inflate it in the MainActivity and tie its | |
// lifetime here to the MainActivity. Package scope | |
// so we can grab them from different instances of map | |
// fragments. | |
// | |
// The other option was to make them static, but that causes | |
// memory leaks on screen rotation. | |
View mMapViewContainer; |
{0: 'tench, Tinca tinca', | |
1: 'goldfish, Carassius auratus', | |
2: 'great white shark, white shark, man-eater, man-eating shark, Carcharodon carcharias', | |
3: 'tiger shark, Galeocerdo cuvieri', | |
4: 'hammerhead, hammerhead shark', | |
5: 'electric ray, crampfish, numbfish, torpedo', | |
6: 'stingray', | |
7: 'cock', | |
8: 'hen', | |
9: 'ostrich, Struthio camelus', |
#!/usr/bin/env python3 | |
# Copyright 2014 Brett Slatkin, Pearson Education Inc. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# |
유니코드에서 한글을 어떻게 다루는지를 정리하였다.
네이버 나눔 글꼴(https://zetawiki.com/wiki/%EB%82%98%EB%88%94%EA%B8%80%EA%BC%B4)
Download and Install
# download and extract font files(.ttf)
wget http://cdn.naver.com/naver/NanumFont/fontfiles/NanumFont_TTF_ALL.zip
wget https://github.com/naver/nanumfont/releases/download/VER2.5/NanumGothicCoding-2.5.zip
unzip NanumFont_TTF_ALL.zip
#!/bin/bash | |
### steps #### | |
# verify the system has a cuda-capable gpu | |
# download and install the nvidia cuda toolkit and cudnn | |
# setup environmental variables | |
# verify the installation | |
### | |
### to verify your gpu is cuda enable check |
How to install numpy on M1 Max, with the most accelerated performance (Apple's vecLib)? Here's the answer as of Dec 6 2021.
So that your Python is run natively on arm64, not translated via Rosseta.
$ bash Miniforge3-MacOSX-arm64.sh
Lines starting with #
mean the commands have to be executed by root user under Linux shell (WSL distro).
All other commands have to be executed under Windows-PowerShell as Administrator.
New-VHD support.vhdx -SizeBytes 25GB -Dynamic -BlockSizeBytes 1MB
Write-Output "\\.\PhysicalDrive$((Mount-VHD -Path support.vhdx -PassThru | Get-Disk).Number)"