Concrete Objects Layer¶
The functions in this chapter are specific to certain Python object types.Passing them an object of the wrong type is not a good idea; if you receive anobject from a Python program and you are not sure that it has the right type,you must perform a type check first; for example, to check that an object is adictionary, usePyDict_Check()
. The chapter is structured like the“family tree” of Python object types.
Warning
While the functions described in this chapter carefully check the type of theobjects which are passed in, many of them do not check forNULL
being passedinstead of a valid object. AllowingNULL
to be passed in can cause memoryaccess violations and immediate termination of the interpreter.
Fundamental Objects¶
This section describes Python type objects and the singleton objectNone
.
Numeric Objects¶
Sequence Objects¶
Generic operations on sequence objects were discussed in the previous chapter;this section deals with the specific kinds of sequence objects that areintrinsic to the Python language.
Container Objects¶
Function Objects¶
Other Objects¶
- File Objects
- Module Objects
- Module definitions
- Creating extension modules dynamically
- Support functions
- Iterator Objects
- Descriptor Objects
- Slice Objects
- MemoryView objects
- Weak Reference Objects
- Capsules
- Frame Objects
- Generator Objects
- Coroutine Objects
- Context Variables Objects
- DateTime Objects
- Objects for Type Hinting