In Python data analysis, how do I deploy to production?

In Python data analysis, deploying to production involves several key steps that ensure your analysis scripts, models, or applications run smoothly and efficiently in a live environment.

Here’s an example of how you might deploy a Python data analysis application using Flask:


        from flask import Flask, jsonify
        import pandas as pd

        app = Flask(__name__)

        @app.route('/data', methods=['GET'])
        def get_data():
            # Load your data
            data = pd.read_csv('data.csv')
            # Perform your analysis
            result = data.describe()
            return jsonify(result.to_dict())

        if __name__ == '__main__':
            app.run(debug=False)