Concrete Objects Layer - Python 2.7.18 documentation 编辑
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 an object 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 a dictionary, use PyDict_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 the objects which are passed in, many of them do not check for NULL being passed instead of a valid object. Allowing NULL to be passed in can cause memory access violations and immediate termination of the interpreter.
Fundamental Objects
This section describes Python type objects and the singleton object None
.
Numeric Objects
- Plain Integer Objects
- Boolean Objects
- Long Integer Objects
- Floating Point Objects
- Complex Number 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 are intrinsic to the Python language.
- Byte Array Objects
- String/Bytes Objects
- Unicode Objects and Codecs
- Buffers and Memoryview Objects
- Tuple Objects
- List Objects
Mapping Objects
Other Objects
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