MEME19803/MECG11503/MCCG11503 Programming for Data Analytics Assignment 2026 | APU

Programming for Data Analytics Assignment

Task 1: Project Setup with g i t

1. Functional requirements:

• Initialize a local g i t repository in your assignment project folder.
• Make at least 5 meaningful commits that reflect your development progress
• Include a README.md file describing the project’s purpose, requirements, how to run it, and key features.
• Set up a virtual environment using uv or pip, and ensure it is excluded from version control by adding it to .gitignore.
• List all required dependencies in a requirements.txt file or pyproject.toml.
• Submit a single ZIP file containing your entire project folder—including the
• git directory, Python code, data, documentation, and configuration files.
• Do not push your repository to any remote host (e.g., GitHub).

2. Report Requirement:

• Write a brief report explaining why git is valuable in programming projects, focusing on version control, collaboration, and workflow benefits.

Task 2: Realtime Data Source

1. Functional requirements (train/aircraft data):

• Choose one of these public APIs that return machine-readable data:
  – https://api.mtrec.name.my/api/position?agency=ktmb
  – https://opensky-network.org/api/states/all lamin=0.85&lamax=7.65&lomin=95.2&lomax=119.5
• Fetch live data: from the chosen API.
• Parse and normalize the response into a consistent internal structure (e.g., list of useful fields like vehicle_id, latitude, longitude, timestamp, speed).
• your code should observe the rate limiting rule set by the API owner.
• fetch and save the live data at least for 50 different timestamps.
• explain your code in the report.

2. Functional Requirements (Weather Data):

• Choose one of the following weather API services:
  – https://openweathermap.org
  – https://www.weatherapi.com
• Create an API key for using the chosen API.
• Reuse the timestamp and location data obtained from the train/aircraft task.
• Fetch both the 3-hourly and 3-day weather forecasts for that location.
• Save the retrieved weather data to a file in a structured format (e.g., JSON or CSV).
• Include a clear explanation of your implementation in the report, especially how you handle your API key safely.

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