A structured collection of Jupyter notebooks exploring NumPy from the ground up; covering array creation, manipulation, broadcasting, indexing, and data visualization for scientific computing and data analysis.

A selection of useful array operations

HomeWork 6: A C# program that manipulates arrays by resizing, adding, or removing elements. Demonstrates dynamic array operations and input validation.

🧠 A fast-paced image-matching game built with React.js. Match images by category before time runs out. Test your memory and reflexes—like Fruit Ninja, but with logic! ⏱️🍍🐘🌍

A C++-based scripting prototype that supports let, function, mixed-type arrays, dynamic operations like console.log, readline(), and vector-like methods — all made possible through operator overloading and custom abstractions.

Notebook to learn NumPy basics, arrays, and operations for data analysis.

A collection of 100 array-based coding problems in Python, each solved using loops and functions, ideal for learning, practice, and technical interview prep.

The Address Book Project is a console-based application written in C designed to manage personal contacts. It allows users to: Add Contacts: Add a contact with a name, phone numbers, and email addresses. Search Contacts: Search for contacts by name, phone number, or email. Edit Contacts & Modify

A number evaluation script that identifies even, odd, and prime numbers in an array, along with calculating the sum of primes and determining the maximum and minimum values.

A Node.js CLI application for processing test scores, calculating averages, and validating input.

Proyecto 4 - Programación 2

This comprehensive course covers the fundamental concepts and practical techniques of NumPy, the essential library for numerical computing in Python. Learn to create, manipulate, and analyze arrays efficiently.

menu-driven numpy calculator that performs arithmetic, statistical, and array manipulation operations with execution time tracking.

🧮 Explore, manipulate, and visualize data with NumPy to enhance your Python skills in scientific computing and data analysis.