파이썬을 사용하다 보면 사용하고자 하는 라이브러리 버전에 따라 같은 라이브러리임에도 불구하고 명령어가 다른 경우가 있어. 그럴 경우 설치된 라이브러리의 버전을 알아야 거기에 맞게 진행을 할 수 있겠지?
이때, 설치한 라이브러리들의 버전이 무엇인지부터 먼저 확인해보자!
anaconda-client==1.7.2
anaconda-navigator==1.9.12
appnope==0.1.0
asn1crypto==1.3.0
attrs==19.3.0
autopep8==1.5.2
autopy==4.0.0
backcall==0.1.0
backports.functools-lru-cache==1.6.1
backports.tempfile==1.0
backports.weakref==1.0.post1
beautifulsoup4==4.6.0
bleach==3.1.0
boto==2.49.0
boto3==1.13.12
botocore==1.16.12
branca==0.4.0
bs4==0.0.1
cachetools==4.0.0
certifi==2020.4.5.1
cffi==1.14.0
chardet==3.0.4
chart-studio==1.0.0
click==7.1.1
cloudpickle==1.3.0
clyent==1.2.2
colorama==0.4.3
colorlover==0.3.0
conda==4.8.3
conda-build==3.18.9
conda-package-handling==1.6.0
conda-verify==3.4.2
configobj==5.0.6
cryptography==2.8
cufflinks==0.17.3
cvxpy==1.0.31
cycler==0.10.0
cytoolz==0.10.1
dask==2.14.0
decorator==4.4.2
defusedxml==0.6.0
dill==0.3.1.1
docutils==0.15.2
dpkt==1.9.2
ecos==2.0.7.post1
entrypoints==0.3
et-xmlfile==1.0.1
filelock==3.0.12
finance-datareader==0.9.6
folium==0.10.1
funcy==1.14
future==0.18.2
gensim==3.8.3
glob2==0.7
google-api-core==1.16.0
google-auth==1.12.0
google-auth-oauthlib==0.4.1
google-cloud-bigquery==1.24.0
google-cloud-core==1.3.0
google-resumable-media==0.5.0
googleapis-common-protos==1.51.0
idna==2.9
imageio==2.8.0
importlib-metadata==1.5.0
inflect==4.1.0
ipykernel==5.1.4
ipython==7.13.0
ipython-genutils==0.2.0
ipywidgets==7.5.1
jaraco.itertools==5.0.0
jdcal==1.4.1
jedi==0.16.0
Jinja2==2.11.1
jmespath==0.10.0
joblib==0.14.1
JPype1==0.7.5
jsonschema==3.2.0
jupyter-client==6.1.2
jupyter-core==4.6.3
jupyterthemes==0.20.0
kiwisolver==1.2.0
konlpy==0.5.2
lesscpy==0.14.0
libarchive-c==2.8
lief==0.9.0
lxml==4.5.0
MarkupSafe==1.1.1
matplotlib==3.2.1
missingno==0.4.2
mistune==0.8.4
mkl-fft==1.0.15
mkl-random==1.1.0
mkl-service==2.3.0
more-itertools==8.2.0
mpmath==1.1.0
multiprocess==0.70.9
navigator-updater==0.2.1
nbconvert==5.6.1
nbformat==5.0.4
netifaces==0.10.9
networkx==2.4
nltk==3.5
notebook==6.0.3
numexpr==2.7.1
numpy==1.18.1
oauthlib==3.1.0
olefile==0.46
opencv-python==4.2.0.34
openpyxl==3.0.3
osqp==0.6.1
packaging==20.3
pandas==1.0.3
pandas-gbq==0.13.1
pandocfilters==1.4.2
parso==0.6.2
patsy==0.5.1
pexpect==4.8.0
pgmpy==0.1.10
picklable-itertools==0.1.1
pickleshare==0.7.5
Pillow==7.0.0
pkginfo==1.5.0.1
plotly==4.5.0
pluggy==0.13.1
ply==3.11
prometheus-client==0.7.1
prompt-toolkit==3.0.4
protobuf==3.11.3
psutil==5.7.0
ptyprocess==0.6.0
py==1.8.1
pyasn1==0.4.8
pyasn1-modules==0.2.8
pycodestyle==2.5.0
pycosat==0.6.3
pycparser==2.20
pydata-google-auth==0.3.0
Pygments==2.6.1
pyLDAvis==2.1.2
PyMySQL==0.9.3
pyOpenSSL==19.1.0
pyparsing==2.4.7
pyrsistent==0.16.0
PySocks==1.7.1
pytest==5.4.2
python-dateutil==2.8.1
python-xlib==0.27
pytz==2019.3
PyWavelets==1.1.1
PyYAML==5.3.1
pyzmq==18.1.1
QtPy==1.9.0
regex==2020.5.14
requests==2.23.0
requests-file==1.4.3
requests-oauthlib==1.3.0
retrying==1.3.3
rsa==4.0
ruamel-yaml==0.15.87
s3transfer==0.3.3
schedule==0.6.0
scikit-image==0.16.2
scikit-learn==0.22.2.post1
scipy==1.4.1
scs==2.1.2
seaborn==0.10.0
selenium==3.141.0
Send2Trash==1.5.0
six==1.14.0
sklearn==0.0
smart-open==2.0.0
soupsieve==2.0
soynlp==0.0.493
SQLAlchemy==1.3.16
statsmodels==0.11.0
sympy==1.5.1
terminado==0.8.3
testpath==0.4.4
toolz==0.10.0
torch==1.5.0
tornado==6.0.4
tqdm==4.44.1
traitlets==4.3.3
tweepy==3.8.0
urllib3==1.25.8
wcwidth==0.1.9
webencodings==0.5.1
wget==3.2
widgetsnbextension==3.5.1
wordcloud==1.7.0
xlrd==1.2.0
xmltodict==0.12.0
zipp==2.2.0
Note: you may need to restart the kernel to use updated packages.어때? 쉽지? 물론 특정 라이브러리를 잡아서 하는 방법도 있지만, 여기서 소개하는 방법은 설치된 모든 라이브러리의 버전을 확인할 수 있는 방법이야. 파이썬 라이브러리 종류가 매우 많은데 이 명령어 하나로 모든 설치된 라이브러리의 버전을 확인할 수 있으니까 상당히 편리한 것 같네.