Unpickling
Unpickling is the process of deserializing a pickle byte stream to reconstruct the Python object or object hierarchy it represents.
Python How-To
Unpickling is the process of deserializing a pickle representation to recreate the Python object it contains.
- How it is used
- Restores preserved Python data from binary pickle files or serialized bytes.
- How deep it goes
- Explains load usage, binary modes, fidelity checks, custom classes, compatibility limits, and security concerns.
- Examples
- Uses tuple and dictionary files, a Task instance, a serialized function, and a malicious custom object.
- What you can do after
- Apply unpickling through pickle.load or pickle.loads and verify restored values against their originals.
The Quick Python Book, Fourth Edition
Unpickling is the deserialization of a byte stream into a Python object hierarchy.
- How it is used
- Restores Python program state or cached data from a binary file.
- How deep it goes
- Defines the inverse of pickling, demonstrates repeated loads, and notes supported and unsupported structures.
- Examples
- Uses sequentially restored scalar values, dictionary persistence, and a disk-backed calculation cache.
- What you can do after
- Apply it via pickle.load to restore previously serialized values and reusable application data.
Read how The Quick Python Book, Fourth Edition explains unpickling →
Related concepts
- json.loaduses · json.load() is a Python function that reads and parses JSON from a file-like object into the corresponding Python value.
- pickleuses · Pickle is Python’s standard-library facility for serializing Python objects to byte streams and reconstructing them from those streams.
These guides are generated from the text of Manning books by Manning's knowledge graph and link to the sections they draw on. The full books are available on liveBook and at manning.com.