๐Ÿ– 3. Data model โ€” Python rc1 documentation

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CPython implementation detail: For CPython, id(x) is the memory address Without a __weakref__ variable for each instance, classes defining __slots__ do not.


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Dictionary needs memory. Millions of objects will definitely eat up the RAM usageโ€‹. Dictionary is in fact a hash map. The worst case of the time.


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Python | Use of __slots__. When we create objects for classes, it requires memory and the attribute are stored in the form of a dictionary. In case if we need to.


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The extension module array provides an additional example of a mutable sequence type, as does the collections module. Tuples of two or more items are formed by comma-separated lists of expressions. Future versions of Python may add types to the type hierarchy e. These represent complex numbers as a pair of machine-level double precision floating point numbers. These represent finite sets of objects indexed by arbitrary index sets. The Boolean type is a subtype of the integer type, and Boolean values behave like the values 0 and 1, respectively, in almost all contexts, the exception being that when converted to a string, the strings "False" or "True" are returned, respectively. As such, they cannot be indexed by any subscript. Numeric objects are immutable; once created their value never changes. These represent unordered, finite sets of unique, immutable objects. They are created by the built-in bytearray constructor. Mutable sequences can be changed after they are created. They are created by the built-in set constructor and can be modified afterwards by several methods, such as add. These represent a mutable set. The interpreter will then try the reflected operation, or some other fallback, depending on the operator. The items of a tuple are arbitrary Python objects. CPython implementation detail: For CPython, id x is the memory address where x is stored. See the documentation of the gc module for information on controlling the collection of cyclic garbage. There is a single object with this value. So, immutability is not strictly the same as having an unchangeable value, it is more subtle. An empty tuple can be formed by an empty pair of parentheses. Do not depend on immediate finalization of objects when they become unreachable so you should always close files explicitly. It is understood that these resources are freed when the object is garbage-collected, but since garbage collection is not guaranteed to happen, such objects also provide an explicit way to release the external resource, usually a close method. This object is accessed through the literal These are created by numeric literals and returned as results by arithmetic operators and arithmetic built-in functions. Even the importance of object identity is affected in some sense: for immutable types, operations that compute new values may actually return a reference to any existing object with the same type and value, while for mutable objects this is not allowed. Bytes literals like b'abc' and the built-in bytes constructor can be used to create bytes objects. This implies that the index set is renumbered so that it starts at 0. So, if an immutable container like a tuple contains a reference to a mutable object, its value changes if that mutable object is changed. Dictionaries preserve insertion order, meaning that keys will be produced in the same order they were added sequentially over the dictionary. These represent elements from the mathematical set of integers positive and negative. See Implementing the arithmetic operations for more details. These represent an immutable set. Replacing an existing key does not change the order, however removing a key and re-inserting it will add it to the end instead of keeping its old place. Programs are strongly recommended to explicitly close such objects. The two objects representing the values False and True are the only Boolean objects. Their definition may change in the future. The extension modules dbm. Objects whose value can change are said to be mutable ; objects whose value is unchangeable once they are created are called immutable. An implementation is allowed to postpone garbage collection or omit it altogether โ€” it is a matter of implementation quality how garbage collection is implemented, as long as no objects are collected that are still reachable. The items of a list are arbitrary Python objects. Its truth value is false. Common uses for sets are fast membership testing, removing duplicates from a sequence, and computing mathematical operations such as intersection, union, difference, and symmetric difference. In CPython 3. Note that numeric types obey the normal rules for numeric comparison: if two numbers compare equal e. The real and imaginary parts of a complex number z can be retrieved through the read-only attributes z. These are the types to which the function call operation see section Calls can be applied:. A bytes object is an immutable array. You are at the mercy of the underlying machine architecture and C or Java implementation for the accepted range and handling of overflow. It is used to signify the absence of a value in many situations, e. When used as an expression, a slice is a sequence of the same type. Some objects contain references to other objects; these are called containers. Python does not support single-precision floating point numbers; the savings in processor and memory usage that are usually the reason for using these are dwarfed by the overhead of using objects in Python, so there is no reason to complicate the language with two kinds of floating point numbers. A user-defined function object is created by a function definition see section Function definitions.{/INSERTKEYS}{/PARAGRAPH} These represent the truth values False and True. In most cases, when we talk about the value of a container, we imply the values, not the identities of the contained objects; however, when we talk about the mutability of a container, only the identities of the immediately contained objects are implied. Below is a list of the types that are built into Python. CPython implementation detail: CPython currently uses a reference-counting scheme with optional delayed detection of cyclically linked garbage, which collects most objects as soon as they become unreachable, but is not guaranteed to collect garbage containing circular references. This type has a single value. Numeric types used for keys obey the normal rules for numeric comparison: if two numbers compare equal e. These represent numbers in an unlimited range, subject to available virtual memory only. Every object has an identity, a type and a value. The same caveats apply as for floating point numbers. Changed in version 3. Extension modules written in C, Java, or other languages, depending on the implementation can define additional types. These represent machine-level double precision floating point numbers. They are created by the built-in frozenset constructor. The value of some objects can change. Examples of containers are tuples, lists and dictionaries. A bytearray object is a mutable array. Aside from being mutable and hence unhashable , byte arrays otherwise provide the same interface and functionality as immutable bytes objects. These represent finite sets of objects indexed by nearly arbitrary values. Its truth value is true. Python numbers are of course strongly related to mathematical numbers, but subject to the limitations of numerical representation in computers. Types affect almost all aspects of object behavior. Objects are never explicitly destroyed; however, when they become unreachable they may be garbage-collected. Also, bytes objects can be decoded to strings via the decode method. Note that there are no special cases needed to form lists of length 0 or 1. A string is a sequence of values that represent Unicode code points. This object is accessed through the built-in name None. The rules for integer representation are intended to give the most meaningful interpretation of shift and mask operations involving negative integers. {PARAGRAPH}{INSERTKEYS}All data in a Python program is represented by objects or by relations between objects. Lists are formed by placing a comma-separated list of expressions in square brackets. Integers int. The built-in function len returns the number of items in a mapping. These represent finite ordered sets indexed by non-negative numbers. The built-in function ord converts a code point from its string form to an integer in the range 0 - 10FFFF ; chr converts an integer in the range 0 - 10FFFF to the corresponding length 1 string object. When the length of a sequence is n , the index set contains the numbers 0, 1, โ€ฆ, n Item i of sequence a is selected by a[i]. This object is accessed through the built-in name NotImplemented. If the object contains references to other objects, these other objects may be mutable and may be changed; however, the collection of objects directly referenced by an immutable object cannot change. Numeric methods and rich comparison methods should return this value if they do not implement the operation for the operands provided. As a frozenset is immutable and hashable , it can be used again as an element of another set, or as a dictionary key. For set elements, the same immutability rules apply as for dictionary keys. An object of an immutable sequence type cannot change once it is created. The subscription and slicing notations can be used as the target of assignment and del delete statements. Other implementations act differently and CPython may change. However, they can be iterated over, and the built-in function len returns the number of items in a set. The built-in function len returns the number of items of a sequence. The subscript notation a[k] selects the item indexed by k from the mapping a ; this can be used in expressions and as the target of assignments or del statements.