Numpy File I/O: Practical Application of save and load for Data Persistence

This article introduces Numpy data persistence methods for storing/reading array data. A single array is saved as a `.npy` binary file using `np.save()`, and loaded with `np.load()`. The file automatically appends the extension, so ensure the path is correct. Multiple arrays are saved as a `.npz` compressed file using `np.savez()`, and loading returns a dictionary object accessible via key names. For text format, use `np.savetxt()`/`loadtxt()` to save as CSV or other text files, which are human-readable. However, binary formats (`.npy`/`.npz`) are more efficient and preserve data types. In summary: use `save()`/`load()` for single arrays, `savez()` for multiple arrays, and `savetxt()`/`loadtxt()` for text format, choosing based on specific needs.