Advanced Calculator with NumPy

Build a smarter calculator with the power of NumPy. This project takes your Python skills beyond simple scripts and introduces you to the efficiency of NumPy. The goal is to create an Advanced Calculator that can handle not just basic arithmetic but also vectorized operations, matrix calculations, and statistical functions. Instead of writing repetitive loops, you’ll learn to use NumPy arrays, broadcasting, and universal functions (ufuncs) to process data cleanly and quickly. You’ll begin by setting up the foundation—functions for element-wise addition, subtraction, multiplication, division, and power. Then you’ll expand the calculator with statistical tools such as mean, median, standard deviation, and variance, using NumPy’s built-in methods. Next, you’ll explore the power of linear algebra, implementing dot products, matrix multiplication, transposes, and even inverses with the numpy.linalg module. Along the way, you’ll practice handling errors, managing data types, and working with missing values (NaN) to make your calculator reliable and realistic. By the end of this project, you will be able to: Perform vectorized arithmetic with NumPy arrays. Apply statistical and aggregation functions across datasets. Use linear algebra operations for matrices and multidimensional data. Write safe, reusable functions with input validation. Demonstrate the performance advantages of NumPy over pure Python. This project is entirely hands-on. You’ll build your calculator step by step, test it with real examples, and compare results against traditional Python code. The outcome is both a practical tool and a deeper understanding of why NumPy is the backbone of modern data science.