LNshuti / metals-trade

Use Publicly Available data to create an interactive application explaining the global trade of precious metals

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Precious Metals Trade

Use Publicly Available data to create an interactive application explaining the global trade of precious metals

Technology Stack

  1. Prototype: Python Streamlit
  2. Production deployment: Modal labs

Run the app on your machine!

# Step 1: Clone the repo
git clone https://github.com/LNshuti/metals-trade.git
# Step 2: Create an isolated environment to manage dependencies
conda env create --file=environment.yaml

# Step 3: install required Python packages
pip install -r requirements.txt
# Step 4: Inspect the data
$ datasette .\data\processed\rankings.db
# Step 5: Run Python Application
$ streamlit run app.py
# Step 5: Deploy Flask Application with Modal 
$ modal serve app.py

References

  1. The Atlas of Economic Complexity. https://atlas.cid.harvard.edu/

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Use Publicly Available data to create an interactive application explaining the global trade of precious metals


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Language:Python 68.3%Language:Jupyter Notebook 31.7%