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The NumPy Expense Tracker is a practical Python project that analyzes daily expenses using NumPy arrays. It converts raw spending data into meaningful insights, proving that NumPy can be used not only for scientific computing but also for real-world financial analysis

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Day-1-Numpy-expense-tracker

The Expense Tracker is a simple and efficient tool designed to help users record, analyze, and manage their daily expenses. It provides a clear breakdown of spending, highlights budget limits, and supports tracking financial habits over time. This project is ideal for beginners who want to work with data handling and learn NumPy for real-world applications.

Features

✔ Add and store expenses with amount, category, and date

✔ Automatically calculate total monthly and overall spending

✔ Detect overspending beyond a set limit

✔ Provide savings insights and spending trends

✔ Identify highest and lowest expense categories

✔ Uses NumPy for fast and structured analysis

Technologies used:-

Tool / Library Purpose
Python Core logic
NumPy Expense analytics

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The NumPy Expense Tracker is a practical Python project that analyzes daily expenses using NumPy arrays. It converts raw spending data into meaningful insights, proving that NumPy can be used not only for scientific computing but also for real-world financial analysis

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