<commit_before>#
# data8; foundation
tornado==4.5.3
notebook==5.6.0
datascience==0.10.6
matplotlib==2.0.0
numpy==1.14.5
pandas==0.19.2
scipy==0.19.1
statsmodels==0.8.0
okpy==1.12.5
nbgitpuller==0.6.1
nbzip==0.0.4
jupyterlab==0.35.4
ipympl==0.2.1
ipywidgets==7.2.1
jupyterhub==0.8.1
appmode==0.4.0
nbresuse==0.3.0
#
# r
nbserverproxy==0.8.3
nbrsessionproxy==0.7.0
#
# cogsci88; 
ggplot==0.11.5
#
# geog88; spring 2018
mplleaflet==0.0.5
geopandas==0.3.0
geopy==1.11.0
pysal==1.14.3
https://github.com/matplotlib/basemap/archive/v1.1.0.tar.gz
rtree==0.8.3
netCDF4==1.3.1
#
# cogsci131; spring 2018
nose==1.3.7
#
# modules
scikit-learn==0.19.0
seaborn==0.8.0
bokeh==0.12.6
decorator==4.1.2
networkx==1.11
pygame==1.9.3
nltk==3.2.4
beautifulsoup4==4.6.0
spacy==1.9.0
#
# ls 88-3; neuro
lxml==3.8.0
tqdm==4.15.0
mne==0.14.1
nibabel==2.1.0
h5py==2.7.0
pillow==4.2.1
numexpr==2.6.4
openpyxl==2.4.8
nipype==0.13.1
nilearn==0.3.1
#
# ls 88-4, economic development connector
gmaps==0.8.0
#
# phys 151;
emcee==2.2.1
pymc3==3.2
daft==0.0.4
corner==2.0.1
#
# ce88;
cython==0.25.2
pymdptoolbox==4.0b3
#
# ds100;
gs100==0.0.4
#
# data-x; DL
tensorflow==1.3.0
scikit-image==0.13.1
Theano==0.9.0
Keras==2.0.8
keras-vis==0.4.1
tables==3.4.2
opencv-python==3.3.0.10
#
# stat 159/259; fall 18
git+git://github.com/statlab/permute.git@e2b13ed
git+git://github.com/statlab/cryptorandom.git@0721472
#
# astr 128/256; spring 2019
astroquery==0.3.9
astropy==3.1.1
dustmaps==1.0.3
pystan==2.18.1.0<commit_msg>Undo a previous commit.<commit_after>#
# data8; foundation
tornado==4.5.3
notebook==5.6.0
datascience==0.10.6
matplotlib==2.0.0
numpy==1.14.5
pandas==0.19.2
scipy==0.19.1
statsmodels==0.8.0
okpy==1.12.5
nbgitpuller==0.6.1
nbzip==0.0.4
jupyterlab==0.35.4
ipympl==0.2.1
ipywidgets==7.2.1
jupyterhub==0.8.1
appmode==0.4.0
nbresuse==0.3.0
#
# r
nbserverproxy==0.8.3
nbrsessionproxy==0.7.0
#
# cogsci88; 
ggplot==0.11.5
#
# geog88; spring 2018
mplleaflet==0.0.5
geopandas==0.3.0
geopy==1.11.0
pysal==1.14.3
https://github.com/matplotlib/basemap/archive/v1.1.0.tar.gz
rtree==0.8.3
netCDF4==1.3.1
#
# cogsci131; spring 2018
nose==1.3.7
#
# modules
scikit-learn==0.19.0
seaborn==0.8.0
bokeh==0.12.6
decorator==4.1.2
networkx==1.11
pygame==1.9.3
nltk==3.2.4
beautifulsoup4==4.6.0
spacy==1.9.0
#
# ls 88-3; neuro
lxml==3.8.0
tqdm==4.15.0
mne==0.14.1
nibabel==2.1.0
h5py==2.7.0
pillow==4.2.1
numexpr==2.6.4
openpyxl==2.4.8
nipype==0.13.1
nilearn==0.3.1
#
# ls 88-4, economic development connector
gmaps==0.8.0
#
# phys 151;
emcee==2.2.1
pymc3==3.2
daft==0.0.4
corner==2.0.1
#
# ce88;
cython==0.25.2
pymdptoolbox==4.0b3
#
# ds100;
gs100==0.0.4
#
# data-x; DL
tensorflow==1.3.0
scikit-image==0.13.1
Theano==0.9.0
Keras==2.0.8
keras-vis==0.4.1
tables==3.4.2
opencv-python==3.3.0.10
#
# prob140; fall 18
prob140==0.3.5.1
gsExport==0.18.8.1
sympy==1.1.1
#
# stat 159/259; fall 18
git+git://github.com/statlab/permute.git@e2b13ed
git+git://github.com/statlab/cryptorandom.git@0721472

# data 100
plotly==3.4.0
cufflinks==0.14.6
{'fraction_non_alphanumeric': 0.22994652406417113, 'fraction_numerical': 0.19050802139037434, 'mean_word_length': 4.06429780033841, 'pattern_counts': {'":': 0, '<': 3, '<?xml version=': 0, '>': 3, 'https://': 2, 'lorem ipsum': 0, 'www.': 0, 'xml': 2}, 'pii_count': 5, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '5989627', 'n_tokens_mistral': 1849, 'n_tokens_neox': 1693, 'n_words': 208}