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# 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 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`.

- Type Objects
- The None Object

## Numeric Objects

- Plain Integer Objects
- Boolean Objects
- Long Integer Objects
- Floating Point Objects
- Complex Number Objects
  - Complex Numbers as C Structures
  - Complex Numbers as Python 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
  - Type check macros
  - Direct API functions
  - Macros
- String/Bytes Objects
- Unicode Objects and Codecs
  - Unicode Objects
  - Built-in Codecs
  - Methods and Slot Functions
- Buffer Objects
  - The new-style Py_buffer struct
  - Buffer related functions
  - Old-style buffer objects
- Tuple Objects
- List Objects

## Mapping Objects

- Dictionary Objects

## Other Objects

- Class and Instance Objects
- Function Objects
- Method Objects
- File Objects
- Module Objects
- Iterator Objects
- Descriptor Objects
- Slice Objects
- Weak Reference Objects
- CObjects
- Cell Objects
- Generator Objects
- DateTime Objects
- Set Objects

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