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Predict frost risk in vineyards using live data

Help a winemaker that has a system in place for predicting the risk of frost in its vineyards. Currently, the company manually adds minimum temperature forecasts, but this is slow and if forgotten, can lead to frost damage. You’ll automate this process using Python to connect to live weather data.

Python  90 Minutes        1.5 CPE/CPD Credits
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Project Steps Involved

1. Vino Veritas's manual data connection issue
2. Set up account with weather forecast API
3. Connect to dataset with map coordinates
4. Connect to HTML Table with Alpha2 Codes
5. Combine data streams
6. Get weather forecast from API

Prerequisite Courses

Python Basics

Connecting to Live Data

Python Basics

Data Preparation

Python Basics

Storing, Transforming and Visualizing Data

Python Basics

Functions, Conditionality and Loops

Python Basics

Python Fundamentals

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