Social Analysis (SOAN) based on Whatsapp data (Project Setup)

This project is being developed by: Maarten Grootendorst
Project Link: SOAN: GitHub    

In this post, we share a minimal YAML file to setup an environment for running SOAN project.


name: soan
channels:
  - conda-forge
dependencies:
  - pandas
  - seaborn
  - scikit-learn
  - matplotlib
  - emoji
  - pattern
  - wordcloud
  - palettable
  - ipykernel
  - jupyter
    


Run Logs


(base) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$ conda env create -f env.yml
Collecting package metadata (repodata.json): done
Solving environment: done

Downloading and Extracting Packages
contourpy-1.0.5      | 234 KB    | ### | 100% 
idna-3.4             | 55 KB     | ### | 100% 
libiconv-1.17        | 1.4 MB    | ### | 100% 
stack_data-0.5.1     | 24 KB     | ### | 100% 
pyopenssl-22.0.0     | 120 KB    | ### | 100% 
scipy-1.9.1          | 26.2 MB   | ### | 100% 
jack-1.9.18          | 647 KB    | ### | 100% 
mysqlclient-2.0.3    | 82 KB     | ### | 100% 
mysql-libs-8.0.30    | 1.9 MB    | ### | 100% 
fontconfig-2.14.0    | 318 KB    | ### | 100% 
glib-tools-2.74.0    | 108 KB    | ### | 100% 
fonttools-4.37.4     | 2.0 MB    | ### | 100% 
qtpy-2.2.1           | 49 KB     | ### | 100% 
python-fastjsonschem | 242 KB    | ### | 100% 
libcap-2.65          | 97 KB     | ### | 100% 
ca-certificates-2022 | 150 KB    | ### | 100% 
gstreamer-1.20.3     | 2.0 MB    | ### | 100% 
jaraco.context-4.1.2 | 9 KB      | ### | 100% 
repoze.lru-0.7       | 13 KB     | ### | 100% 
matplotlib-3.6.0     | 7 KB      | ### | 100% 
jaraco.classes-3.2.2 | 10 KB     | ### | 100% 
glib-2.74.0          | 438 KB    | ### | 100% 
qtconsole-5.3.2      | 6 KB      | ### | 100% 
qtconsole-base-5.3.2 | 91 KB     | ### | 100% 
executing-1.1.0      | 23 KB     | ### | 100% 
pyzmq-24.0.1         | 510 KB    | ### | 100% 
nest-asyncio-1.5.6   | 10 KB     | ### | 100% 
qt-main-5.15.6       | 61.5 MB   | ### | 100% 
fftw-3.3.10          | 2.2 MB    | ### | 100% 
sqlite-3.39.4        | 789 KB    | ### | 100% 
libzlib-1.2.12       | 65 KB     | ### | 100% 
routes-2.5.1         | 35 KB     | ### | 100% 
portaudio-19.6.0     | 132 KB    | ### | 100% 
regex-2022.9.13      | 386 KB    | ### | 100% 
zc.lockfile-2.0      | 12 KB     | ### | 100% 
nbconvert-pandoc-7.1 | 5 KB      | ### | 100% 
cherrypy-18.8.0      | 504 KB    | ### | 100% 
widgetsnbextension-4 | 1.6 MB    | ### | 100% 
jaraco.collections-3 | 14 KB     | ### | 100% 
pdfminer.six-2022052 | 4.9 MB    | ### | 100% 
jupyterlab_widgets-3 | 222 KB    | ### | 100% 
pcre2-10.37          | 1.1 MB    | ### | 100% 
setuptools-65.4.1    | 776 KB    | ### | 100% 
pytz-2022.4          | 232 KB    | ### | 100% 
certifi-2022.9.24    | 155 KB    | ### | 100% 
nbconvert-core-7.1.0 | 189 KB    | ### | 100% 
expat-2.4.9          | 189 KB    | ### | 100% 
libdeflate-1.14      | 81 KB     | ### | 100% 
tzdata-2022d         | 118 KB    | ### | 100% 
numpy-1.23.3         | 7.0 MB    | ### | 100% 
ipywidgets-8.0.2     | 109 KB    | ### | 100% 
future-0.18.2        | 738 KB    | ### | 100% 
terminado-0.16.0     | 18 KB     | ### | 100% 
gettext-0.19.8.1     | 3.6 MB    | ### | 100% 
simplejson-3.17.6    | 104 KB    | ### | 100% 
nbformat-5.6.1       | 106 KB    | ### | 100% 
nbconvert-7.1.0      | 6 KB      | ### | 100% 
mysql-common-8.0.30  | 1.9 MB    | ### | 100% 
pulseaudio-14.0      | 1.7 MB    | ### | 100% 
libsqlite-3.39.4     | 803 KB    | ### | 100% 
cryptography-38.0.1  | 1.6 MB    | ### | 100% 
libglib-2.74.0       | 3.1 MB    | ### | 100% 
alsa-lib-1.2.7.2     | 581 KB    | ### | 100% 
jaraco.text-3.9.1    | 21 KB     | ### | 100% 
ipykernel-6.16.0     | 100 KB    | ### | 100% 
gst-plugins-base-1.2 | 2.8 MB    | ### | 100% 
prompt_toolkit-3.0.3 | 5 KB      | ### | 100% 
libtiff-4.4.0        | 651 KB    | ### | 100% 
libxml2-2.10.2       | 727 KB    | ### | 100% 
joblib-1.2.0         | 205 KB    | ### | 100% 
matplotlib-base-3.6. | 7.5 MB    | ### | 100% 
wordcloud-1.8.2.2    | 184 KB    | ### | 100% 
Preparing transaction: done
Verifying transaction: done
Executing transaction: done
#
# To activate this environment, use
#
#     $ conda activate soan
#
# To deactivate an active environment, use
#
#     $ conda deactivate

Retrieving notices: ...working... done


Setup the Jupyter Lab Kernel


(base) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$ conda activate soan
(soan) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$ python -m ipykernel install --user --name soan

Installed kernelspec soan in /home/ashish/.local/share/jupyter/kernels/soan

(soan) ashish@ashish-Lenovo-ideapad-130-15IKB:~/Desktop$ jupyter kernelspec list

Available kernels:
  mongodb                    /home/ashish/.local/share/jupyter/kernels/mongodb
  rasa_py38                  /home/ashish/.local/share/jupyter/kernels/rasa_py38
  soan                       /home/ashish/.local/share/jupyter/kernels/soan
  stock_market_prediction    /home/ashish/.local/share/jupyter/kernels/stock_market_prediction
  python3                    /home/ashish/anaconda3/envs/soan/share/jupyter/kernels/python3

Tags: Technology,Natural Language Processing,