hdf5 can be used to reading/writing from disc in Python
rhdf5 is an interface for hdf5 format
maximum size of an HDF5 dataset is fixed when it is created
all of the mentioned
Answer is Right!
Answer is Wrong!
The correct answer is: C. maximum size of an HDF5 dataset is fixed when it is created.
Hdf5 is a file format that can be used to store and manage data. It is a hierarchical format, which means that data can be organized in a tree-like structure. This makes it well-suited for storing large amounts of data.
Rhdf5 is an interface for the hdf5 format. It is a Python package that provides a high-level API for reading and writing hdf5 files.
The maximum size of an hdf5 dataset is not fixed when it is created. The size of a dataset can be increased or decreased at any time.
Here is a brief explanation of each option:
- A. hdf5 can be used to reading/writing from disc in Python. This is correct. Hdf5 is a file format that can be used to store and manage data. It is a hierarchical format, which means that data can be organized in a tree-like structure. This makes it well-suited for storing large amounts of data. Hdf5 can be used to read and write data from and to disk in Python.
- B. rhdf5 is an interface for hdf5 format. This is correct. Rhdf5 is an interface for the hdf5 format. It is a Python package that provides a high-level API for reading and writing hdf5 files.
- C. maximum size of an HDF5 dataset is fixed when it is created. This is incorrect. The maximum size of an hdf5 dataset is not fixed when it is created. The size of a dataset can be increased or decreased at any time.
- D. all of the mentioned. This is incorrect. Only option C is incorrect.