Ctack14-practice-data-sets 0.1.21

Australian weather data used to learn and practice data analysis skills.

Australian Weather Data Analysis

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This project loads daily Australian weather data over 10 years and stores it in a pandas DataFrame. It's likely that this project will expand to perform more advanced data analysis.

Dataset

• Title: Australia Weather Data
• Source: Kaggle

Usage

Run main.py to read and display weather data to the console.

Technologies

• Python 3.10
• pandas

Installation

Make sure you have:

• Python 3.10 or higher installed
• Build installed: pip install build

To install the required dependencies, run the following command:

pip install Ctack14-practice-data-sets

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To Install as a developer:

pip install Ctack14-practice-data-sets[dev]

Steps

For module 3, I restructured the project to use OOP principles while still maintaining the ability to be packaged and uploaded to PyPI.

• DataLoader class to handle loading and preprocessing the weather data.
• DataProcessor class to perform analysis on the loaded data. Description now returns basic statistics rather than displaying them. They can be displayed in the application logic.
• app.py to serve as the main entry point for running the application and composes the objects.

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The init file for the package was updated to reflect the new structure.

OOP Principles Applied

• Encapsulated data and behavior inside of classes.
• Used methods to operate on the data within the classes.
• Separated concerns by creating distinct classes for loading and processing data.
• Created an application class to manage the workflow. This replaces the old main.py script.