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Saravanakumar R
Saravanakumar R

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DAT to CSV Converter

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Overview

This project is a Python-based .dat to .csv file converter initially developed during my internship tenure at the National Institute of Wind Energy (NIWE). The objective was to address the challenge of converting .dat files to .csv format efficiently.

Key Features

  • Conversion of .dat files from NIWE's wind energy data to .csv format.
  • Utilizes Python's CSV, re, and sys libraries to handle data processing and conversion.
  • A responsive website to convert files effortlessly.
  • Batch conversion of .dat files to .csv is supported.

Background

During my internship at NIWE, I enthusiastically embarked on the challenge of converting .dat files to .csv, an essential requirement for data analysis and visualization. Despite encountering complex data structures and a limited timeframe, I embraced the challenge, leading to a rewarding learning journey.

I was asked to create a Python code for easy conversion of .dat files to .csv format. However, I took an innovative step forward by deploying a user-friendly website, enabling anyone, regardless of technical expertise, to perform the conversion effortlessly. This proactive approach allows for automation and provides accessibility to perform the conversion in a fraction of a second using any device, anytime and anywhere.

Experience

  1. Problem-solving: Navigating through the intricacies of .dat file structures and devising a robust conversion process.
  2. Time Management: Accomplishing the task within a restricted timeframe while ensuring quality and accuracy.
  3. Learning Curve: Embracing challenges as opportunities for growth and expanding knowledge in data handling and conversion.
  4. Proactive Deployment: Went beyond the initial task to develop a user-friendly website for effortless automation of the conversion process.

Project Structure

  • app.py: Python script for the .dat to .csv conversion.
  • conversion_utils.py: Utility functions used for data processing.
  • templates: This directory holds HTML templates used in the application. The upload.html file resides here, facilitating file upload functionality.
  • converted_files: The converted output files are stored in this directory.
  • uploaded_files: A folder dedicated to storing uploaded .dat files for the conversion process.
  • README.md: The current document provides an overview of the project.

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