angle-left Jupyter

Adding python librairies to Jupyter Workspace

The following libraries are included by default in all workspaces :

alembic==0.9.9
appdirs==1.4.3
asn1crypto==0.24.0
async-generator==1.10
attrs==18.1.0
Automat==0.0.0
backcall==0.1.0
bleach==2.1.4
certifi==2019.3.9
cffi==1.11.5
chardet==3.0.4
Click==7.0
click-plugins==1.1.1
cligj==0.5.0
conda==4.5.8
constantly==15.1.0
cryptography==2.6.1
cycler==0.10.0
decorator==4.3.0
entrypoints==0.2.3
Fiona==1.8.6
GDAL==2.4.1
geopandas==0.4.0+67.g08ad2bf
html5lib==1.0.1
hyperlink==17.3.1
idna==2.7
imageio==2.5.0
incremental==17.5.0
ipykernel==4.8.2
ipython==6.5.0
ipython-genutils==0.2.0
jedi==0.12.1
Jinja2==2.10
jsonschema==2.6.0
jupyter-client==5.2.3
jupyter-core==4.4.0
jupyterhub==0.9.2
jupyterlab==0.34.0
jupyterlab-launcher==0.13.1
kiwisolver==1.0.1
Mako==1.0.7
MarkupSafe==1.0
matplotlib==3.0.3
mistune==0.8.3
munch==2.3.2
nbconvert==5.3.1
nbformat==4.4.0
nbgitpuller==0.6.1
networkx==2.2
notebook==5.6.0
numpy==1.16.2
pamela==0.3.0
pandas==0.24.2
pandocfilters==1.4.2
parso==0.3.1
pexpect==4.6.0
pickleshare==0.7.4
Pillow==6.0.0
prometheus-client==0.3.0
prompt-toolkit==1.0.15
property==2.2
ptyprocess==0.6.0
pyasn1==0.4.4
pyasn1-modules==0.2.1
pycosat==0.6.3
pycparser==2.18
pycurl==7.43.0.2
Pygments==2.2.0
pyOpenSSL==18.0.0
pyparsing==2.4.0
pyproj==2.1.3
PySocks==1.6.8
python-dateutil==2.7.3
python-editor==1.0.3
python-oauth2==1.0.1
pytz==2018.9
PyWavelets==1.0.2
pyzmq==17.1.2
requests==2.19.1
ruamel-yaml==0.15.44
scikit-image==0.15.0
scikit-learn==0.20.3
scipy==1.2.1
Send2Trash==1.5.0
service-identity==17.0.0
Shapely==1.6.4.post2
simplegeneric==0.8.1
six==1.11.0
SQLAlchemy==1.2.11
terminado==0.8.1
testpath==0.3.1
tornado==5.1
traitlets==4.3.2
Twisted==18.7.0
urllib3==1.23
wcwidth==0.1.7
webencodings==0.5
zope.interface==4.5.0

If other librairies are required, they must be installed manually in your workspace : 

Open workspace "Home"

Click on "New" > "Terminal"

A terminal will open in a new tab of your navigator.

Install the librairy of your choice via pip e.g. pip install opencv-python

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