Analysis of UFO sightings around the world using Python, Pandas, Seaborn, Matplotlib, Jupyter Notebook, VScode, Anaconda, Kaggle
Notes
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FastAPI is a modern, fast (high-performance), web framework for building APIs with Python 3.6+ based on standard Python type hints.
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FastAPI project wrapper is in OntologyML folder
Duplicate conda envinronment
conda list --export > requirements.txt
conda create --name <envname> --file requirements.txt
Steps
Select kernel python 3.10 tensorflow
conda create --name ontology
conda activate ontology
conda install pandas
conda install seaborn
conda install transformers
conda install pytorch torchvision -c pytorch
conda install fastapi
conda install "uvicorn[standard]"
python-multipart
- Activate ontology kernel in VScode
Run uvicorn server
uvicorn main:app --reload
Steps for Dockerizing
PROD
uvicorn 'main:app' --host=0.0.0.0 --port=80
Screenshots
Kaggle Dataset for Ontology
https://www.kaggle.com/datasets/camnugent/ufo-sightings-around-the-world?resource=download