The modules described in this chapter support storing Python data in a
persistent form on disk. The pickle and marshal modules can turn
many Python data types into a stream of bytes and then recreate the objects from
the bytes. The various DBM-related modules support a family of hash-based file
formats that store a mapping of strings to other strings.
The list of modules described in this chapter is:
pickle--- Python object serialization- Relationship to other Python modules
- Data stream format
- Module Interface
- What can be pickled and unpickled?
- Pickling Class Instances
- Restricting Globals
- Performance
- Examples
copyreg--- Registerpicklesupport functionsshelve--- Python object persistencemarshal--- Internal Python object serializationdbm--- Interfaces to Unix "databases"sqlite3--- DB-API 2.0 interface for SQLite databases- Module functions and constants
- Connection Objects
- Cursor Objects
- Row Objects
- Exceptions
- SQLite and Python types
- Introduction
- Using adapters to store additional Python types in SQLite databases
- Converting SQLite values to custom Python types
- Default adapters and converters
- Controlling Transactions
- Using
sqlite3efficiently - Common issues