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Python, Django, and PostgreSQL Monorepo

Welcome to my project repository! This workspace tracks my daily progress, scripts, and applications as I learn and build with Python, Django, and PostgreSQL.

This folder serves as a centralized hub for various mini-projects, practical automation tasks, core Python practice, and database integration exercises.

📁 Folder Structure Overview

Here is a short brief on what each folder in this repository contains:

  • postgresql/
    Contains scripts and applications related to database integration. It includes CRUD operations (crud.py) and a student management system (student_management.py) demonstrating how to interact with PostgreSQL databases.

  • progress/
    Tracks my daily learning iterations (e.g., day3, day-4, day5). This folder contains various scripts covering core and advanced Python topics like Data Structures and Algorithms (DSA), lambda functions, dictionaries, sets, and a resume parsing tool.

  • Resume_basics/
    Contains fundamental Python scripts focused on logic and data evaluation around resumes. It includes tools for eligibility checking, skill level classification, project counting, and score calculation.

  • automation/
    A simple Python project/package designed to automatically organize files into categorized folders based on their file extensions (Images, Documents, Videos, etc.).

  • dist/
    Contains built distribution files (like .whl and .tar.gz) for any Python packages bundled in this workspace.

🚀 Technologies Used

  • Python: The core programming language used for scripting, automation, and backend logic.
  • Django: Used for building robust and scalable web applications (e.g., student CRUD interfaces).
  • PostgreSQL: The primary relational database handling data storage and complex queries.

This repository gives a complete view of my progression from foundational Python to building database-driven applications.

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A monorepo for tracking practical coding progress, featuring automation scripts, core concepts, and database-driven applications built with Python, Django, and PostgreSQL.

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