This repository provides a bare-bones implementation of a Long Short-Term Memory (LSTM) network built from scratch in Python. It is designed as a learning tool to help developers understand how LSTMs work internally by examining readable, non-optimized code. The implementation follows academic notation conventions and includes forward propagation and backpropagation through time. Users can run test.py to see a minimal example of the network learning to predict sequences.