c2siorg/dataloom

Project is to design and implement a web-based GUI for data wrangling, aimed at simplifying the process of managing and transforming tabular datasets. This application will serve as a graphical interface for the powerful Python library, allowing users to perform complex data manipulation tasks without the need for in-depth programming knowledge.

DataLoom

Project is to design and implement a web-based GUI for data wrangling, aimed at simplifying the process of managing and transforming tabular datasets. This application will serve as a graphical interface for the powerful Python library, allowing users to perform complex data manipulation tasks without the need for in-depth programming knowledge.

dataloom's Issues

Initialization Proposal: Integrate FastAPI into DataLoom Project

Overview

• This issue proposes initializing the DataLoom project with FastAPI to leverage its robustness, performance, and ease of use for building APIs.

Objective

• The objective of this issue is to kickstart the DataLoom project by integrating FastAPI as the framework for developing the backend application.

Tasks

1. Create Application Structure:

• Define the basic directory structure for the repository.
  • /backend - Backend source code.
  • /frontend - Frontend source code.

2. Setup FastAPI Environment:

• Create a Python virtual environment under /backend directory to maintain project isolation.
• Install FastAPI and its dependencies.
• Set up initial files as main.py and requirements.txt under /backend directory.

3. Implement Basic FastAPI Endpoint:

• Develop a foundational FastAPI endpoint to validate the integration.
• This endpoint should ideally return a basic response ("Hello World") to verify the application's functionality.

Contributing

I am interested to contribute to the project

Apply to GSOC

I want to apply for this project in GSoC. My skills match the required skills.

I have strong knowledge of front-end and back-end web development in the JavaScript language, and I have built many projects, some of which use real-time and others that deal with uploading, viewing, downloading data and exporting it to files.

I also dealt with the Python language and its libraries such as Pandas, Numpy and Matplotlib.

I have a strong knowledge of the fundamental of computer science such as databases, data structures, algorithms, problem solving, and object-oriented programming.