Worked on the ml-explore/mlx repository with a focus on improving documentation accuracy and code clarity. Addressed a key issue in the Python documentation by correcting the stated size of the float64 data type, ensuring it accurately reflects the use of 8 bytes rather than 4. This update, implemented using Python and reStructuredText (RST), aimed to reduce user confusion and prevent potential errors in data handling. The work emphasized careful attention to detail and a commitment to maintaining high-quality documentation, supporting both developers and end users in understanding Python numeric types more precisely within the project’s technical context.