🎓 FYCodeLab

A comprehensive introduction covering the basics of R and Python programming, including syntax, data structures, libraries, and basic operations.

An interactive web-based mini-game to practice manual cell counting on a Malassez grid. Simulates cell dispersion under a microscope.

A playful experiment using a jar of sweets to demonstrate how data science, visualization, and statistics can reveal the surprising power of group estimation.

A beginner-friendly introduction to Biopython, showing how to access NCBI databases, download real genomic data, and visualize gene annotations.

A compact collection of CircuitPython projects for the ESPY microcontroller. Includes LED animations, tilt-controlled games, and utilities.

A beginner-friendly ESP32 and LED matrix kit designed to introduce electronics, programming and robotics through interactive experiments and an embedded audioguide.

An ESP32-based prototyping platform combining CircuitPython, electronics modules and an interactive AI tutor helping beginners learn electronics step by step.

An undergraduate scientific journal showcasing student projects, biotechnology initiatives, research work and educational innovation.

A security tool designed to protect your slides and PowerPoint presentations during distribution. Prevents unauthorized copying and sharing.

An accessibility tool designed to help people with hearing loss communicate more effectively over the phone. Features voice amplification and noise reduction.

An enhanced p5.js game focused on learning proper cell counting techniques on Malassez grids. Features multiple difficulty levels and scoring.

A festive Roblox game featuring daily missions and puzzles throughout the holiday season. Each day unlocks new challenges and rewards.

An interactive web assistant for outdoor treasure hunts. Provides text and audio clues with secret codes, managing progress and creating engaging adventures.

A comprehensive guide to essential programming libraries for data science, web development, and scientific computing. Perfect for expanding beyond basics.

Introduction to machine learning concepts, algorithms, and practical applications. Designed for biologists and data science beginners with hands-on examples.

Core concepts in data science including data cleaning, exploration, visualization, and statistical analysis with real biological datasets.

A beginner-friendly course covering basic statistics, probability, hypothesis testing, and data interpretation specifically for biological sciences.

Learn to create interactive web applications for scientific data presentation and educational tools. Perfect for researchers wanting to share their work online.