Python is a high-level, interpreted, general-purpose programming language. Its design philosophy emphasizes code readability with the use of significant indentation.
Python is dynamically-typed and garbage-collected. It supports multiple programming paradigms, including structured (particularly procedural), object-oriented and functional programming. It is often described as a "batteries included" language due to its comprehensive standard library.
Guido van Rossum began working on Python in the late 1980s as a successor to the ABC programming language and first released it in 1991 as Python 0.9.0. Python 2.0 was released in 2000 and introduced new features such as list comprehensions, cycle-detecting garbage collection, reference counting, and Unicode support. Python 3.0, released in 2008, was a major revision that is not completely backward-compatible with earlier versions. Python 2 was discontinued with version 2.7.18 in 2020.[35]
Python consistently ranks as one of the most popular programming languages.
History[edit]
Python was conceived in the late 1980s[40] by Guido van Rossum at Centrum Wiskunde & Informatica (CWI) in the Netherlands as a successor to the ABC programming language, which was inspired by SETL,[41] capable of exception handling and interfacing with the Amoeba operating system.[12] Its implementation began in December 1989.[42] Van Rossum shouldered sole responsibility for the project, as the lead developer, until 12 July 2018, when he announced his "permanent vacation" from his responsibilities as Python's "benevolent dictator for life", a title the Python community bestowed upon him to reflect his long-term commitment as the project's chief decision-maker.[43] In January 2019, active Python core developers elected a five-member Steering Council to lead the project.[44][45]
Python 2.0 was released on 16 October 2000, with many major new features.[46] Python 3.0, released on 3 December 2008, with many of its major features backported to Python 2.6.x[47] and 2.7.x. Releases of Python 3 include the 2to3
utility, which automates the translation of Python 2 code to Python 3.[48]
Python 2.7's end-of-life was initially set for 2015, then postponed to 2020 out of concern that a large body of existing code could not easily be forward-ported to Python 3.[49][50] No further security patches or other improvements will be released for it.[51][52] With Python 2's end-of-life, only Python 3.6.x[53] and later were supported. Later, support for 3.6 was also discontinued. In 2021, Python 3.9.2 and 3.8.8 were expedited as all versions of Python (including 2.7[55]) had security issues leading to possible remote code execution and web cache poisoning.[57]
In 2022, Python 3.10.4 and 3.9.12 were expedited[58] and so were older releases including 3.8.13, and 3.7.13 because of many security issues. Python 3.9.13 is the latest 3.9 version, and from now on 3.9 (and older; 3.8 and 3.7) will only get security updates.ython is a multi-paradigm programming language. Object-oriented programming and structured programming are fully supported, and many of its features support functional programming and aspect-oriented programming (including metaprogramming[61] and metaobjects [magic methods] ).[62] Many other paradigms are supported via extensions, including design by contract[63][64] and logic programming.[65]
Python uses dynamic typing and a combination of reference counting and a cycle-detecting garbage collector for memory management.[66] It uses dynamic name resolution (late binding), which binds method and variable names during program execution.
Its design offers some support for functional programming in the Lisp tradition. It has filter
,map
andreduce
functions; list comprehensions, dictionaries, sets, and generator expressions.[67] The standard library has two modules (itertools
and functools
) that implement functional tools borrowed from Haskell and Standard ML.[68]
Its core philosophy is summarized in the document The Zen of Python (PEP 20), which includes aphorisms such as:[69]
- Beautiful is better than ugly.
- Explicit is better than implicit.
- Simple is better than complex.
- Complex is better than complicated.
- Readability counts.
Rather than building all of its functionality into its core, Python was designed to be highly extensible via modules. This compact modularity has made it particularly popular as a means of adding programmable interfaces to existing applications. Van Rossum's vision of a small core language with a large standard library and easily extensible interpreter stemmed from his frustrations with ABC, which espoused the opposite approach.[40]
Python strives for a simpler, less-cluttered syntax and grammar while giving developers a choice in their coding methodology. In contrast to Perl's "there is more than one way to do it" motto, Python embraces a "there should be one—and preferably only one—obvious way to do it" philosophy.[69] Alex Martelli, a Fellow at the Python Software Foundation and Python book author, wrote: "To describe something as 'clever' is not considered a compliment in the Python culture."[70]
Python's developers strive to avoid premature optimization and reject patches to non-critical parts of the CPython reference implementation that would offer marginal increases in speed at the cost of clarity.[71] When speed is important, a Python programmer can move time-critical functions to extension modules written in languages such as C; or use PyPy, a just-in-time compiler. Cython is also available, which translates a Python script into C and makes direct C-level API calls into the Python interpreter.
Python's developers aim for it to be fun to use. This is reflected in its name—a tribute to the British comedy group Monty Python[72]—and in occasionally playful approaches to tutorials and reference materials, such as examples that refer to spam and eggs (a reference to a Monty Python sketch) instead of the standard foo and bar.[73][74]
The programming language's name 'Python' came from a BBC Comedy series in the 1970's named Monty Python's Flying Circus. Guido van Rossum thought he needed a name that was short, unique and slightly mysterious, And so, he decided to name the programming language 'Python'.[72]
A common neologism in the Python community is pythonic, which has a wide range of meanings related to program style. "Pythonic" code may use Python idioms well, be natural or show fluency in the language, or conform with Python's minimalist philosophy and emphasis on readability. Code that is difficult to understand or reads like a rough transcription from another programming language is called unpythonic.[75][76]
Python users and admirers, especially those considered knowledgeable or experienced, are often referred to as Pythonistas.
Syntax and semantics[edit]
Python is meant to be an easily readable language. Its formatting is visually uncluttered and often uses English keywords where other languages use punctuation. Unlike many other languages, it does not use curly brackets to delimit blocks, and semicolons after statements are allowed but rarely used. It has fewer syntactic exceptions and special cases than C or Pascal.[79]
Indentation[edit]
Python uses whitespace indentation, rather than curly brackets or keywords, to delimit blocks. An increase in indentation comes after certain statements; a decrease in indentation signifies the end of the current block.[80] Thus, the program's visual structure accurately represents its semantic structure.[81] This feature is sometimes termed the off-side rule. Some other languages use indentation this way; but in most, indentation has no semantic meaning. The recommended indent size is four spaces.[82]
Statements and control flow[edit]
Python's statements include:
- The assignment statement, using a single equals sign
=
- The
if
statement, which conditionally executes a block of code, along withelse
andelif
(a contraction of else-if) - The
for
statement, which iterates over an iterable object, capturing each element to a local variable for use by the attached block - The
while
statement, which executes a block of code as long as its condition is true - The
try
statement, which allows exceptions raised in its attached code block to be caught and handled byexcept
clauses (or new syntaxexcept*
in Python 3.11 for exception groups[83]); it also ensures that clean-up code in afinally
block is always run regardless of how the block exits - The
raise
statement, used to raise a specified exception or re-raise a caught exception - The
class
statement, which executes a block of code and attaches its local namespace to a class, for use in object-oriented programming - The
def
statement, which defines a function or method - The
with
statement, which encloses a code block within a context manager (for example, acquiring a lock before it is run, then releasing the lock; or opening and closing a file), allowing resource-acquisition-is-initialization (RAII)-like behavior and replacing a common try/finally idiom[84] - The
break
statement, which exits a loop - The
continue
statement, which skips the current iteration and continues with the next - The
del
statement, which removes a variable—deleting the reference from the name to the value, and producing an error if the variable is referred to before it is redefined - The
pass
statement, serving as a NOP, syntactically needed to create an empty code block - The
assert
statement, used in debugging to check for conditions that should apply - The
yield
statement, which returns a value from a generator function (and also an operator); used to implement coroutines - The
return
statement, used to return a value from a function - The
import
statement, used to import modules whose functions or variables can be used in the current program
The assignment statement (=
) binds a name as a reference to a separate, dynamically-allocated object. Variables may subsequently be rebound at any time to any object. In Python, a variable name is a generic reference holder without a fixed data type; however, it always refers to some object with a type. This is called dynamic typing—in contrast to statically-typed languages, where each variable may contain only a value of a certain type.
Python does not support tail call optimization or first-class continuations, and, according to van Rossum, it never will.[85][86] However, better support for coroutine-like functionality is provided by extending Python's generators.[87] Before 2.5, generators were lazy iterators; data was passed unidirectionally out of the generator. From Python 2.5 on, it is possible to pass data back into a generator function; and from version 3.3, it can be passed through multiple stack levels.[88]
Expressions[edit]
Some Python expressions are similar to those in languages such as C and Java, while some are not:
- Addition, subtraction, and multiplication are the same, but the behavior of division differs. There are two types of divisions in Python: floor division (or integer division)
//
and floating-point/
division.[89] Python also uses the**
operator for exponentiation. - The
@
infix operator. It is intended to be used by libraries such as NumPy for matrix multiplication.[90][91] - The syntax
:=
, called the "walrus operator", was introduced in Python 3.8. It assigns values to variables as part of a larger expression.[92] - In Python,
==
compares by value, versus Java, which compares numerics by value[93] and objects by reference.[94] Python'sis
operator may be used to compare object identities (comparison by reference), and comparisons may be chained—for example,a <= b <= c
. - Python uses
and
,or
, andnot
as boolean operators rather than the symbolic&&
,||
,!
in Java and C. - Python has a type of expression called a list comprehension, as well as a more general expression called a generator expression.[67]
- Anonymous functions are implemented using lambda expressions; however, there may be only one expression in each body.
- Conditional expressions are written as
x if c else y
[95] (different in order of operands from thec ? x : y
operator common to many other languages). - Python makes a distinction between lists and tuples. Lists are written as
[1, 2, 3]
, are mutable, and cannot be used as the keys of dictionaries (dictionary keys must be immutable in Python). Tuples, written as(1, 2, 3)
, are immutable and thus can be used as keys of dictionaries, provided all of the tuple's elements are immutable. The+
operator can be used to concatenate two tuples, which does not directly modify their contents, but produces a new tuple containing the elements of both. Thus, given the variablet
initially equal to(1, 2, 3)
, executingt = t + (4, 5)
first evaluatest + (4, 5)
, which yields(1, 2, 3, 4, 5)
, which is then assigned back tot
—thereby effectively "modifying the contents" oft
while conforming to the immutable nature of tuple objects. Parentheses are optional for tuples in unambiguous contexts.[96] - Python features sequence unpacking where multiple expressions, each evaluating to anything that can be assigned (to a variable, writable property, etc.) are associated in an identical manner to that forming tuple literals—and, as a whole, are put on the left-hand side of the equal sign in an assignment statement. The statement expects an iterable object on the right-hand side of the equal sign that produces the same number of values as the provided writable expressions; when iterated through them, it assigns each of the produced values to the corresponding expression on the left.[97]
- Python has a "string format" operator
%
that functions analogously toprintf
format strings in C—e.g."spam=%s eggs=%d" % ("blah", 2)
evaluates to"spam=blah eggs=2"
. In Python 2.6+ and 3+, this was supplemented by theformat()
method of thestr
class, e.g."spam={0} eggs={1}".format("blah", 2)
. Python 3.6 added "f-strings":spam = "blah"; eggs = 2; f'spam={spam} eggs={eggs}'
.[98] - Strings in Python can be concatenated by "adding" them (with the same operator as for adding integers and floats), e.g.
"spam" + "eggs"
returns"spameggs"
. If strings contain numbers, they are added as strings rather than integers, e.g."2" + "2"
returns"22"
. - Python has various string literals:
- Delimited by single or double quote marks. Unlike in Unix shells, Perl, and Perl-influenced languages, single and double quote marks function identically. Both use the backslash (
\
) as an escape character. String interpolation became available in Python 3.6 as "formatted string literals".[98] - Triple-quoted (beginning and ending with three single or double quote marks), which may span multiple lines and function like here documents in shells, Perl, and Ruby.
- Raw string varieties, denoted by prefixing the string literal with
r
. Escape sequences are not interpreted; hence raw strings are useful where literal backslashes are common, such as regular expressions and Windows-style paths. (Compare "@
-quoting" in C#.)
- Delimited by single or double quote marks. Unlike in Unix shells, Perl, and Perl-influenced languages, single and double quote marks function identically. Both use the backslash (
- Python has array index and array slicing expressions in lists, denoted as
a[key]
,a[start:stop]
ora[start:stop:step]
. Indexes are zero-based, and negative indexes are relative to the end. Slices take elements from the start index up to, but not including, the stop index. The third slice parameter, called step or stride, allows elements to be skipped and reversed. Slice indexes may be omitted—for example,a[:]
returns a copy of the entire list. Each element of a slice is a shallow copy. - List comprehensions vs.
for
-loops - Conditional expressions vs.
if
blocks - The
eval()
vs.exec()
built-in functions (in Python 2,exec
is a statement); the former is for expressions, the latter is for statements - Current Python (i.e. since 3.0) changed
/
to always be floating-point division, e.g.5/2 == 2.5
. - The floor division
//
operator was introduced. So7//3 == 2
,-7//3 == -3
,7.5//3 == 2.0
and-7.5//3 == -3.0
. Addingfrom __future__ import division
causes a module used in Python 2.7 to use Python 3.0 rules for division (see above).
In Python, a distinction between expressions and statements is rigidly enforced, in contrast to languages such as Common Lisp, Scheme, or Ruby. This leads to duplicating some functionality. For example:
Statements cannot be a part of an expression—so list and other comprehensions or lambda expressions, all being expressions, cannot contain statements. A particular case is that an assignment statement such as a = 1
cannot form part of the conditional expression of a conditional statement. This has the advantage of avoiding a classic C error of mistaking an assignment operator =
for an equality operator ==
in conditions: if (c = 1) { ... }
is syntactically valid (but probably unintended) C code, but if c = 1: ...
causes a syntax error in Python.
Methods[edit]
Methods on objects are functions attached to the object's class; the syntax instance.method(argument)
is, for normal methods and functions, syntactic sugar for Class.method(instance, argument)
. Python methods have an explicit self
parameter to access instance data, in contrast to the implicit self (or this
) in some other object-oriented programming languages (e.g., C++, Java, Objective-C, Ruby).[99] Python also provides methods, often called dunder methods (due to their names
Arithmetic operations[edit]
Python has the usual symbols for arithmetic operators (+
, -
, *
, /
), the floor division operator //
and the modulo operation %
(where the remainder can be negative, e.g. 4 % -3 == -2
). It also has **
for exponentiation, e.g. 5**3 == 125
and 9**0.5 == 3.0
, and a matrix‑multiplication operator @
.[107] These operators work like in traditional math; with the same precedence rules, the operators infix (+
and -
can also be unary to represent positive and negative numbers respectively).
The division between integers produces floating-point results. The behavior of division has changed significantly over time:[108]
In Python terms, /
is true division (or simply division), and //
is floor division. /
before version 3.0 is classic division.[108]
Rounding towards negative infinity, though different from most languages, adds consistency. For instance, it means that the equation (a + b)//b == a//b + 1
is always true. It also means that the equation b*(a//b) + a%b == a
is valid for both positive and negative values of a
. However, maintaining the validity of this equation means that while the result of a%b
is, as expected, in the half-open interval [0, b), where b
is a positive integer, it has to lie in the interval (b, 0] when b
is negative.[109]
Python provides a round
function for rounding a float to the nearest integer. For tie-breaking, Python 3 uses round to even: round(1.5)
and round(2.5)
both produce 2
.[110] Versions before 3 used round-away-from-zero: round(0.5)
is 1.0
, round(-0.5)
is −1.0
.[111]
Python allows boolean expressions with multiple equality relations in a manner that is consistent with general use in mathematics. For example, the expression a < b < c
tests whether a
is less than b
and b
is less than c
.[112] C-derived languages interpret this expression differently: in C, the expression would first evaluate a < b
, resulting in 0 or 1, and that result would then be compared with c
.[113]
Python uses arbitrary-precision arithmetic for all integer operations. The Decimal
type/class in the decimal
module provides decimal floating-point numbers to a pre-defined arbitrary precision and several rounding modes.[114] The Fraction
class in the fractions
module provides arbitrary precision for rational numbers.[115]
Due to Python's extensive mathematics library, and the third-party library NumPy that further extends the native capabilities, it is frequently used as a scientific scripting language to aid in problems such as numerical data processing and manipulation.
beginning and ending with double-underscores), to allow user-defined classes to modify how they are handled by native operations including length, comparison, in arithmetic operations and type conversion.
Programming examples
Hello world program:
Program to calculate the factorial of a positive integer:
Naming
Python's name is derived from the British comedy group Monty Python, whom Python creator Guido van Rossum enjoyed while developing the language. Monty Python references appear frequently in Python code and culture;[174] for example, the metasyntactic variables often used in Python literature are spam and eggs instead of the traditional foo and bar.[174][175] The official Python documentation also contains various references to Monty Python routines.[176][177]
The prefix Py- is used to show that something is related to Python. Examples of the use of this prefix in names of Python applications or libraries include Pygame, a binding of SDL to Python (commonly used to create games); PyQt and PyGTK, which bind Qt and GTK to Python respectively; and PyPy, a Python implementation originally written in Python.
Popularity
Since 2003, Python has consistently ranked in the top ten most popular programming languages in the TIOBE Programming Community Index where, as of October 2021, it is the most popular language (ahead of Java, and C).[178] It was selected Programming Language of the Year (for "the highest rise in ratings in a year") in 2007, 2010, 2018, and 2020 (the only language to do so four times[179]).[180]
An empirical study found that scripting languages, such as Python, are more productive than conventional languages, such as C and Java, for programming problems involving string manipulation and search in a dictionary, and determined that memory consumption was often "better than Java and not much worse than C or C++".[181]
Large organizations that use Python include Wikipedia, Google,[182] Yahoo!,[183] CERN,[184] NASA,[185] Facebook,[186] Amazon, Instagram,[187] Spotify,[188] and some smaller entities like ILM[189] and ITA.[190] The social news networking site Reddit was written mostly in Python.
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