# Cultural Data Analysis: Python libraries for all course notebooks
# Install in two steps (learntools must come second):
#   pip install -r requirements.txt
#   pip install --no-build-isolation git+https://github.com/Kaggle/learntools.git
# Tested with Python 3.12 (the version Google Colab uses).

# Notebooks
jupyter
ipywidgets

# Week 1-2: Python and pandas
numpy
pandas<3                # the notebooks were written for pandas 2
matplotlib
seaborn

# Week 3: machine learning
scipy
scikit-learn
palettable
graphviz                # also needs the Graphviz program: brew install graphviz

# Week 4: text
nltk
gensim
wordcloud
transformers<5          # the notebooks were written for transformers 4
torch
datasets
huggingface_hub
accelerate
sacremoses
opendatasets
geopandas
geopy
folium

# Week 5: images
pillow
opencv-python
pytesseract             # also needs the Tesseract program: brew install tesseract
easyocr

# Week 6: social media traces
requests
beautifulsoup4
networkx
sentence-transformers
bertopic
hdbscan
umap-learn
openai