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 bsddb
module also provides such disk-based string-to-string mappings based on hashing,
and also supports B-Tree and record-based formats.
The list of modules described in this chapter is:
pickle--- Python object serializationcPickle--- A fasterpicklecopy_reg--- Registerpicklesupport functionsshelve--- Python object persistencemarshal--- Internal Python object serializationanydbm--- Generic access to DBM-style databaseswhichdb--- Guess which DBM module created a databasedbm--- Simple "database" interfacegdbm--- GNU's reinterpretation of dbmdbhash--- DBM-style interface to the BSD database librarybsddb--- Interface to Berkeley DB librarydumbdbm--- Portable DBM implementationsqlite3--- DB-API 2.0 interface for SQLite databases- Module functions and constants
- Connection Objects
- Cursor Objects
- Row Objects
- 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