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Oussama Gattaoui
Oussama Gattaoui

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Data Forge – Explore, Merge, and Analyze Multiple Datasets

#devchallenge #githubchallenge #cli #githubcopilot

GitHub Copilot CLI Challenge Submission

This is a submission for the GitHub Copilot CLI Challenge

What I Built

  • DataForge is a comprehensive data analysis and manipulation platform designed for data professionals, analysts, researchers, and business users. With an intuitive graphical interface built on PyQt5, DataForge abstracts away the complexity of data processing while maintaining professional-grade capabilities.
    Whether you're cleaning customer datasets, analyzing sales trends, comparing data versions, or creating professional visualizations, DataForge provides tools to accomplish your goals efficiently.

  • For me, this project is more than just a tool — it’s a way to practice and challenge myself with Python, PyQt5, and real-world data handling. I wanted to learn how to work with multiple datasets, merge them, and generate meaningful insights without getting lost in messy spreadsheets.

    Demo

    link to my project:
    https://github.com/OUSSAMA-GATTAOUI/DATA-FORGE
    Demo video link : https://www.youtube.com/watch?v=McdZUErdxsc

My Experience with GitHub Copilot CLI

While building Data Forge, I used GitHub Copilot CLI a lot, and it honestly changed the way I worked.

Copilot was especially helpful for the repetitive parts, like writing functions to load, merge, and filter multiple datasets. Instead of spending a lot of time typing boilerplate code, I could focus on making the tool actually useful.

It also helped a ton with the PyQt5 interface. Designing the GUI can get tricky, but Copilot suggested layouts, widgets, and event-handling code that I could adapt quickly. That saved me hours and made the interface feel smoother.

Even when I was learning new things — like using pandas for data analysis or matplotlib for visualizations — Copilot suggested functions and methods I didn’t know, which not only sped things up but helped me learn faster.

Overall, using Copilot felt like having a coding partner who gives ideas and points out better ways to do things. It let me spend more time on the parts that mattered, like features, usability, and making Data Forge actually work for real datasets, instead of getting stuck on repetitive code.

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