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.. highlightlang:: c .. _concrete: ********************** 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 :cfunc:`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: Fundamental Objects =================== This section describes Python type objects and the singleton object ``None``. .. toctree:: type.rst none.rst .. _numericobjects: Numeric Objects =============== .. index:: object: numeric .. toctree:: int.rst bool.rst long.rst float.rst complex.rst .. _sequenceobjects: Sequence Objects ================ .. index:: object: sequence 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. .. toctree:: bytearray.rst string.rst unicode.rst buffer.rst tuple.rst list.rst .. _mapobjects: Mapping Objects =============== .. index:: object: mapping .. toctree:: dict.rst .. _otherobjects: Other Objects ============= .. toctree:: class.rst function.rst method.rst file.rst module.rst iterator.rst descriptor.rst slice.rst weakref.rst cobject.rst cell.rst gen.rst datetime.rst set.rst
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