Junyoung Park Swalloow

## howto.md

      
              1 file
            
          
              6 forks
            
          
              4 comments
            
          
              21 stars
            
          
                persiyanov
                / howto.md
            
            
              Last active
              October 21, 2021 15:35
            
              
                How-to get Amazon EC2 instance and do machine learning on it. Jupyter 4.0.6 server and Python 2.7.
              
          
    Goal

Want to move computation on machine with much power.
We will set up Anaconda 4.0.0 and XGBoost 0.4 (it is tricky installable).
Preliminaries


Amazon AWS Educate gives 100$ for MIPT students.
GitHub Students Pack additionaly gives 15$.

Let's start

AWS Console and launching EC2 Instance.


## appspec.yml
version: 0.0
os: linux
files:
  - source: /
    destination: /home/ec2-user/node
permissions:
  - object: /home/ec2-user
    owner: ec2-user
    group: ec2-user
    type:

## combineS3Files.py
'''
This script performs efficient concatenation of files stored in S3. Given a
folder, output location, and optional suffix, all files with the given suffix
will be concatenated into one file stored in the output location.

Concatenation is performed within S3 when possible, falling back to local
operations when necessary.

Run `python combineS3Files.py -h` for more info.
'''

## get_job_status.sh
curl http://spark-cluster-ip:6066/v1/submissions/status/driver-20151008145126-0000

## min-char-rnn.py
"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)

## how-to-write-by-markdown.md

      
              1 file
            
          
              1021 forks
            
          
              327 comments
            
          
              2339 stars
            
          
                ihoneymon
                / how-to-write-by-markdown.md
            
            
              Last active
              July 19, 2024 12:06
            
              
                마크다운(Markdown) 사용법
              
          
    [공통] 마크다운 markdown 작성법


영어지만, 조금 더 상세하게 마크다운 사용법을 안내하고 있는

"Markdown Guide (https://www.markdownguide.org/)" 를 보시는 것을 추천합니다. ^^


아, 그리고 마크다운만으로 표현이 부족하다고 느끼신다면, HTML 태그를 활용하시는 것도 좋습니다.

1. 마크다운에 관하여


## 094607.md

      
              1 file
            
          
              19 forks
            
          
              31 comments
            
          
              122 stars
            
          
                marocchino
                / 094607.md
            
            
              Last active
              July 19, 2022 14:25
            
              
                ES6시대의 JavaScript
              
          
    ES6시대의 JavaScript


원문 : http://techlife.cookpad.com/entry/2015/02/02/094607

안녕하세요. 사원사업부의 마루야마@h13i32maru입니다.
최근의 Web 프론트엔드의 변화는 매우 격렬해서, 조금 눈을 땐 사이에 점점 새로운 것이 나오고 있더라구요. 그런 격렬한 변화중 하나가 ES6이라는 차세대 JavaScript의 사양입니다. 이 ES6는 현재 재정중으로 집필시점에서는 Draft Rev31이 공개되어있습니다.

JavaScript는 ECMAScript(ECMA262)라는 사양을 기반으로 구현되어있습니다.
현재 모던한 Web 브라우저는 ECMAScript 5.1th Edition을 기반으로 한 JavaScript실행 엔진을 탑재하고 있습니다.
그리고 다음 버전인 ECMAScript 6th Edition이 현재 재정중으로, 약칭으로 ES6이라는 명칭이 사용되고 있습니다.


## .vimrc
" Don't try to be vi compatible
set nocompatible

" Helps force plugins to load correctly when it is turned back on below
filetype off

" TODO: Load plugins here (pathogen or vundle)

" Turn on syntax highlighting
syntax on
	version: 0.0
	os: linux
	files:
	- source: /
	destination: /home/ec2-user/node
	permissions:
	- object: /home/ec2-user
	owner: ec2-user
	group: ec2-user
	type:
	'''
	This script performs efficient concatenation of files stored in S3. Given a
	folder, output location, and optional suffix, all files with the given suffix
	will be concatenated into one file stored in the output location.

	Concatenation is performed within S3 when possible, falling back to local
	operations when necessary.

	Run `python combineS3Files.py -h` for more info.
	'''
	"""
	Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
	BSD License
	"""
	import numpy as np

	# data I/O
	data = open('input.txt', 'r').read() # should be simple plain text file
	chars = list(set(data))
	data_size, vocab_size = len(data), len(chars)
	" Don't try to be vi compatible
	set nocompatible

	" Helps force plugins to load correctly when it is turned back on below
	filetype off

	" TODO: Load plugins here (pathogen or vundle)

	" Turn on syntax highlighting
	syntax on