Cloudera CDH/CDP 및 Hadoop EcoSystem, Semantic IoT등의 개발/운영 기술을 정리합니다. gooper@gooper.com로 문의 주세요.
anaconda3 (v5.2)(참고 : http://blog.naver.com/PostView.nhn?blogId=cjh226&logNo=220919371679&parentCategoryNo=&categoryNo=11&viewDate=&isShowPopularPosts=false&from=postView)
0. 필요한 zip관련 파일 설치
yum install bzip2
1. 가져오기
wget https://repo.anaconda.com/archive/Anaconda3-5.2.0-Linux-x86_64.sh
2. bash Anaconda3-5.2.0-Linux-x86_64.sh -u
default는 /root/anaconda3밑에 설치됨
이것을 /usr/anaconda3에 기록하여 변경한다.
Do you wish the installer to prepend the Anaconda3 install location
to PATH in your /root/.bashrc ? [yes|no]
3. 모든 사용자가 anaconda를 사용할 수 있도록 설정
vi /etc/profile
export PATH=/usr/anaconda3/bin:$PATH
4. 버젼 확인
[root@cloudera1 anaconda3]# python
Python 3.6.5 |Anaconda, Inc.| (default, Apr 29 2018, 16:14:56)
[GCC 7.2.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
5. library확인
[root@cloudera1 anaconda3]# conda list
# packages in environment at /usr/anaconda3:
#
# Name Version Build Channel
_ipyw_jlab_nb_ext_conf 0.1.0 py36he11e457_0
alabaster 0.7.10 py36h306e16b_0
anaconda 5.2.0 py36_3
anaconda-client 1.6.14 py36_0
anaconda-navigator 1.8.7 py36_0
anaconda-project 0.8.2 py36h44fb852_0
asn1crypto 0.24.0 py36_0
astroid 1.6.3 py36_0
astropy 3.0.2 py36h3010b51_1
attrs 18.1.0 py36_0
babel 2.5.3 py36_0
backcall 0.1.0 py36_0
backports 1.0 py36hfa02d7e_1
backports.shutil_get_terminal_size 1.0.0 py36hfea85ff_2
beautifulsoup4 4.6.0 py36h49b8c8c_1
bitarray 0.8.1 py36h14c3975_1
bkcharts 0.2 py36h735825a_0
blas 1.0 mkl
blaze 0.11.3 py36h4e06776_0
bleach 2.1.3 py36_0
blosc 1.14.3 hdbcaa40_0
bokeh 0.12.16 py36_0
boto 2.48.0 py36h6e4cd66_1
bottleneck 1.2.1 py36haac1ea0_0
bzip2 1.0.6 h14c3975_5
ca-certificates 2018.03.07 0
cairo 1.14.12 h7636065_2
certifi 2018.4.16 py36_0
cffi 1.11.5 py36h9745a5d_0
chardet 3.0.4 py36h0f667ec_1
click 6.7 py36h5253387_0
cloudpickle 0.5.3 py36_0
clyent 1.2.2 py36h7e57e65_1
colorama 0.3.9 py36h489cec4_0
conda 4.5.4 py36_0
conda-build 3.10.5 py36_0
conda-env 2.6.0 h36134e3_1
conda-verify 2.0.0 py36h98955d8_0
contextlib2 0.5.5 py36h6c84a62_0
cryptography 2.2.2 py36h14c3975_0
curl 7.60.0 h84994c4_0
cycler 0.10.0 py36h93f1223_0
cython 0.28.2 py36h14c3975_0
cytoolz 0.9.0.1 py36h14c3975_0
dask 0.17.5 py36_0
dask-core 0.17.5 py36_0
datashape 0.5.4 py36h3ad6b5c_0
dbus 1.13.2 h714fa37_1
decorator 4.3.0 py36_0
distributed 1.21.8 py36_0
docutils 0.14 py36hb0f60f5_0
entrypoints 0.2.3 py36h1aec115_2
et_xmlfile 1.0.1 py36hd6bccc3_0
expat 2.2.5 he0dffb1_0
fastcache 1.0.2 py36h14c3975_2
filelock 3.0.4 py36_0
flask 1.0.2 py36_1
flask-cors 3.0.4 py36_0
fontconfig 2.12.6 h49f89f6_0
freetype 2.8 hab7d2ae_1
get_terminal_size 1.0.0 haa9412d_0
gevent 1.3.0 py36h14c3975_0
glib 2.56.1 h000015b_0
glob2 0.6 py36he249c77_0
gmp 6.1.2 h6c8ec71_1
gmpy2 2.0.8 py36hc8893dd_2
graphite2 1.3.11 h16798f4_2
greenlet 0.4.13 py36h14c3975_0
gst-plugins-base 1.14.0 hbbd80ab_1
gstreamer 1.14.0 hb453b48_1
h5py 2.7.1 py36ha1f6525_2
harfbuzz 1.7.6 h5f0a787_1
hdf5 1.10.2 hba1933b_1
heapdict 1.0.0 py36_2
html5lib 1.0.1 py36h2f9c1c0_0
icu 58.2 h9c2bf20_1
idna 2.6 py36h82fb2a8_1
imageio 2.3.0 py36_0
imagesize 1.0.0 py36_0
intel-openmp 2018.0.0 8
ipykernel 4.8.2 py36_0
ipython 6.4.0 py36_0
ipython_genutils 0.2.0 py36hb52b0d5_0
ipywidgets 7.2.1 py36_0
isort 4.3.4 py36_0
itsdangerous 0.24 py36h93cc618_1
jbig 2.1 hdba287a_0
jdcal 1.4 py36_0
jedi 0.12.0 py36_1
jinja2 2.10 py36ha16c418_0
jpeg 9b h024ee3a_2
jsonschema 2.6.0 py36h006f8b5_0
jupyter 1.0.0 py36_4
jupyter_client 5.2.3 py36_0
jupyter_console 5.2.0 py36he59e554_1
jupyter_core 4.4.0 py36h7c827e3_0
jupyterlab 0.32.1 py36_0
jupyterlab_launcher 0.10.5 py36_0
kiwisolver 1.0.1 py36h764f252_0
lazy-object-proxy 1.3.1 py36h10fcdad_0
libcurl 7.60.0 h1ad7b7a_0
libedit 3.1.20170329 h6b74fdf_2
libffi 3.2.1 hd88cf55_4
libgcc-ng 7.2.0 hdf63c60_3
libgfortran-ng 7.2.0 hdf63c60_3
libpng 1.6.34 hb9fc6fc_0
libsodium 1.0.16 h1bed415_0
libssh2 1.8.0 h9cfc8f7_4
libstdcxx-ng 7.2.0 hdf63c60_3
libtiff 4.0.9 he85c1e1_1
libtool 2.4.6 h544aabb_3
libxcb 1.13 h1bed415_1
libxml2 2.9.8 h26e45fe_1
libxslt 1.1.32 h1312cb7_0
llvmlite 0.23.1 py36hdbcaa40_0
locket 0.2.0 py36h787c0ad_1
lxml 4.2.1 py36h23eabaa_0
lzo 2.10 h49e0be7_2
markupsafe 1.0 py36hd9260cd_1
matplotlib 2.2.2 py36h0e671d2_1
mccabe 0.6.1 py36h5ad9710_1
mistune 0.8.3 py36h14c3975_1
mkl 2018.0.2 1
mkl-service 1.1.2 py36h17a0993_4
mkl_fft 1.0.1 py36h3010b51_0
mkl_random 1.0.1 py36h629b387_0
more-itertools 4.1.0 py36_0
mpc 1.0.3 hec55b23_5
mpfr 3.1.5 h11a74b3_2
mpmath 1.0.0 py36hfeacd6b_2
msgpack-python 0.5.6 py36h6bb024c_0
multipledispatch 0.5.0 py36_0
navigator-updater 0.2.1 py36_0
nbconvert 5.3.1 py36hb41ffb7_0
nbformat 4.4.0 py36h31c9010_0
ncurses 6.1 hf484d3e_0
networkx 2.1 py36_0
nltk 3.3.0 py36_0
nose 1.3.7 py36hcdf7029_2
notebook 5.5.0 py36_0
numba 0.38.0 py36h637b7d7_0
numexpr 2.6.5 py36h7bf3b9c_0
numpy 1.14.3 py36hcd700cb_1
numpy-base 1.14.3 py36h9be14a7_1
numpydoc 0.8.0 py36_0
odo 0.5.1 py36h90ed295_0
olefile 0.45.1 py36_0
openpyxl 2.5.3 py36_0
openssl 1.0.2o h20670df_0
packaging 17.1 py36_0
pandas 0.23.0 py36h637b7d7_0
pandoc 1.19.2.1 hea2e7c5_1
pandocfilters 1.4.2 py36ha6701b7_1
pango 1.41.0 hd475d92_0
parso 0.2.0 py36_0
partd 0.3.8 py36h36fd896_0
patchelf 0.9 hf79760b_2
path.py 11.0.1 py36_0
pathlib2 2.3.2 py36_0
patsy 0.5.0 py36_0
pcre 8.42 h439df22_0
pep8 1.7.1 py36_0
pexpect 4.5.0 py36_0
pickleshare 0.7.4 py36h63277f8_0
pillow 5.1.0 py36h3deb7b8_0
pip 10.0.1 py36_0
pixman 0.34.0 hceecf20_3
pkginfo 1.4.2 py36_1
pluggy 0.6.0 py36hb689045_0
ply 3.11 py36_0
prompt_toolkit 1.0.15 py36h17d85b1_0
psutil 5.4.5 py36h14c3975_0
ptyprocess 0.5.2 py36h69acd42_0
py 1.5.3 py36_0
pycodestyle 2.4.0 py36_0
pycosat 0.6.3 py36h0a5515d_0
pycparser 2.18 py36hf9f622e_1
pycrypto 2.6.1 py36h14c3975_8
pycurl 7.43.0.1 py36hb7f436b_0
pyflakes 1.6.0 py36h7bd6a15_0
pygments 2.2.0 py36h0d3125c_0
pylint 1.8.4 py36_0
pyodbc 4.0.23 py36hf484d3e_0
pyopenssl 18.0.0 py36_0
pyparsing 2.2.0 py36hee85983_1
pyqt 5.9.2 py36h751905a_0
pysocks 1.6.8 py36_0
pytables 3.4.3 py36h02b9ad4_2
pytest 3.5.1 py36_0
pytest-arraydiff 0.2 py36_0
pytest-astropy 0.3.0 py36_0
pytest-doctestplus 0.1.3 py36_0
pytest-openfiles 0.3.0 py36_0
pytest-remotedata 0.2.1 py36_0
python 3.6.5 hc3d631a_2
python-dateutil 2.7.3 py36_0
pytz 2018.4 py36_0
pywavelets 0.5.2 py36he602eb0_0
pyyaml 3.12 py36hafb9ca4_1
pyzmq 17.0.0 py36h14c3975_0
qt 5.9.5 h7e424d6_0
qtawesome 0.4.4 py36h609ed8c_0
qtconsole 4.3.1 py36h8f73b5b_0
qtpy 1.4.1 py36_0
readline 7.0 ha6073c6_4
requests 2.18.4 py36he2e5f8d_1
rope 0.10.7 py36h147e2ec_0
ruamel_yaml 0.15.35 py36h14c3975_1
scikit-image 0.13.1 py36h14c3975_1
scikit-learn 0.19.1 py36h7aa7ec6_0
scipy 1.1.0 py36hfc37229_0
seaborn 0.8.1 py36hfad7ec4_0
send2trash 1.5.0 py36_0
setuptools 39.1.0 py36_0
simplegeneric 0.8.1 py36_2
singledispatch 3.4.0.3 py36h7a266c3_0
sip 4.19.8 py36hf484d3e_0
six 1.11.0 py36h372c433_1
snappy 1.1.7 hbae5bb6_3
snowballstemmer 1.2.1 py36h6febd40_0
sortedcollections 0.6.1 py36_0
sortedcontainers 1.5.10 py36_0
sphinx 1.7.4 py36_0
sphinxcontrib 1.0 py36h6d0f590_1
sphinxcontrib-websupport 1.0.1 py36hb5cb234_1
spyder 3.2.8 py36_0
sqlalchemy 1.2.7 py36h6b74fdf_0
sqlite 3.23.1 he433501_0
statsmodels 0.9.0 py36h3010b51_0
sympy 1.1.1 py36hc6d1c1c_0
tblib 1.3.2 py36h34cf8b6_0
terminado 0.8.1 py36_1
testpath 0.3.1 py36h8cadb63_0
tk 8.6.7 hc745277_3
toolz 0.9.0 py36_0
tornado 5.0.2 py36_0
traitlets 4.3.2 py36h674d592_0
typing 3.6.4 py36_0
unicodecsv 0.14.1 py36ha668878_0
unixodbc 2.3.6 h1bed415_0
urllib3 1.22 py36hbe7ace6_0
wcwidth 0.1.7 py36hdf4376a_0
webencodings 0.5.1 py36h800622e_1
werkzeug 0.14.1 py36_0
wheel 0.31.1 py36_0
widgetsnbextension 3.2.1 py36_0
wrapt 1.10.11 py36h28b7045_0
xlrd 1.1.0 py36h1db9f0c_1
xlsxwriter 1.0.4 py36_0
xlwt 1.3.0 py36h7b00a1f_0
xz 5.2.4 h14c3975_4
yaml 0.1.7 had09818_2
zeromq 4.2.5 h439df22_0
zict 0.1.3 py36h3a3bf81_0
zlib 1.2.11 ha838bed_2
6. Anaconda 버젼확인
[root@cloudera1 anaconda3]# conda --version
conda 4.5.4
7. Anaconda 최신 버젼으로 업데이트
[root@cloudera1 anaconda3]# conda update conda
Solving environment: done
8. Anaconda meta package업데이트
[root@cloudera1 anaconda3]# conda update anaconda
9. 현재 설치된 Conda에 대한 상세 정보 출력
[root@cloudera1 anaconda3]# conda info
active environment : None
user config file : /root/.condarc
populated config files :
conda version : 4.5.8
conda-build version : 3.10.5
python version : 3.6.5.final.0
base environment : /usr/anaconda3 (writable)
channel URLs : https://repo.anaconda.com/pkgs/main/linux-64
https://repo.anaconda.com/pkgs/main/noarch
https://repo.anaconda.com/pkgs/free/linux-64
https://repo.anaconda.com/pkgs/free/noarch
https://repo.anaconda.com/pkgs/r/linux-64
https://repo.anaconda.com/pkgs/r/noarch
https://repo.anaconda.com/pkgs/pro/linux-64
https://repo.anaconda.com/pkgs/pro/noarch
package cache : /usr/anaconda3/pkgs
/root/.conda/pkgs
envs directories : /usr/anaconda3/envs
/root/.conda/envs
platform : linux-64
user-agent : conda/4.5.8 requests/2.18.4 CPython/3.6.5 Linux/3.10.0-514.el7.x86_64 rhel/7.3 glibc/2.17
UID:GID : 0:0
netrc file : None
offline mode : False
10. conda 자체 업데이트
[root@cloudera1 anaconda3]# conda update -n base conda
Solving environment: done
# All requested packages already installed.
11. 파이썬 패키지를 모두 최신 버젼으로 업데이트
[root@cloudera1 anaconda3]# conda update --all
12. 텐서플로우설치(파이썬 기본 패키지 관리자인 pip를 이용함)
12-1. pip install --upgrade pip 먼저 실행
distributed 1.22.0 requires msgpack, which is not installed.70가 나오는 경우 yum install msgpack를 먼저 실행하고 아래의 install 명령을 각각 실행함
pip install tensorflow => 1.9.0
pip install tensorboard => 1.9.0
pip install keras => 2.2.0
install pytorch (0.4.1)
pip install http://download.pytorch.org/whl/cpu/torch-0.4.1-cp36-cp36m-linux_x86_64.whl
pip install torchvision
혹은
conda install pytorch-cpu torchvision-cpu -c pytorch
pip install gensim => 3.5.0
pip install konlpy => 0.4.4
pip install xgboost => 0.72.1
pip install numpy==1.14.3
pip install tensorflowonspark
13. 텐서플로우 확인
>ipython
...
In [1]: import tensorflow as tf
In [2]:
14. 패키지 설치 (특정 버젼설치 : pip install pandas==0.22)
pip install pandas
15. 설치된 패키지 정보 확인
pip show pandas
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