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kisudsoe/python-env

By kisudsoe

•Updated about 5 years ago

Personal environment for python code developments

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kisudsoe/python-env repository overview

⁠Py-toolkit

⁠package note

  1. 아톰 파이썬 패키지⁠
  2. 아톰 패키지 추천⁠

⁠Jupyter notebook/lab 설치

  1. R download

  2. Python download

  3. Jupyter install (in CMD)

pip install Jupyter
  1. CMD 환경변수 설정(R)
  • R 위치: Program files/R/버전/bin/x64/
  • 시작> 검색: "시스템 환경 변수 편집"
  • 환경변수 클릭> 시스템 변수의 Path> Edit>
  • C:\Program Files\R\R-3.4.3\bin\x64 추가
  1. R kernel install (in R)
install.packages('devtools')
devtools::install_github('IRkernel/IRkernel')

#install.packages("stringr") # If 'stringr' error exist
#install.packages("R6") # If 'R6' error exist

# or devtools::install_local('IRkernel-master.tar.gz')
IRkernel::installspec()  # to register the kernel in the current R installation

# in R 3.3
IRkernel::installspec(name = 'ir33', displayname = 'R 3.3')
# in R 3.2
IRkernel::installspec(name = 'ir32', displayname = 'R 3.2')

⁠Jupyter update

  1. Python update
  1. jupyter update (in CMD)
pip install -U jupyter
  1. R update & regist IRkernel (in R session)
install.packages("installr")
library(installr)
updateR()

# IRkernel
install.packages('devtools')
devtools::install_github('IRkernel/IRkernel')

#install.packages("stringr") # If 'stringr' error exist
#install.packages("R6") # If 'R6' error exist

# or devtools::install_local('IRkernel-master.tar.gz')
IRkernel::installspec()  # to register the kernel in the current R installation

Python codes by Seung-Soo Kim. 2016-2018

Tag summary

Content type

Image

Digest

Size

609.8 MB

Last updated

about 5 years ago

docker pull kisudsoe/python-env