Python syntax and semantics - Revision history

RetroCosmos: /* Functional programming */ ce

2025-05-01T05:07:05Z

Functional programming: ce

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	== Functional programming ==		== Functional programming ==

	~~As mentioned above, another~~ strength of Python is the availability of a [[functional programming]] style~~. As may be expected~~, ~~this~~ makes working with lists and other collections much more straightforward.		A strength of Python is the availability of a [[functional programming]] style, which makes working with lists and other collections much more straightforward.

	=== Comprehensions ===		=== Comprehensions ===

RetroCosmos: rm superflous bolding, boldlead

2025-05-01T05:05:59Z

rm superflous bolding, boldlead

← Previous revision		Revision as of 05:05, 1 May 2025
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	[[File:Python example.jpg\|thumb\|300px\|A snippet of Python code with keywords highlighted in bold yellow font]]		[[File:Python example.jpg\|thumb\|300px\|A snippet of Python code with keywords highlighted in bold yellow font]]

	The ~~'''~~[[syntax (programming languages)\|syntax]] of the [[Python (programming language)\|Python programming language]]~~'''~~ is the set of rules that defines how a Python program will be written and [[Interpreter (computing)\|interpreted]] (by both the [[runtime system]] and by human readers). The [[Python (programming language)\|Python language]] has many similarities to [[Perl]], [[C (programming language)\|C]], and [[Java (programming language)\|Java]]. However, there are some definite differences between the languages. It supports multiple [[programming paradigm]]s, including structured, [[object-oriented programming]], and [[functional programming]], and boasts a dynamic type system and automatic memory management.		The [[syntax (programming languages)\|syntax]] of the [[Python (programming language)\|Python programming language]] is the set of rules that defines how a Python program will be written and [[Interpreter (computing)\|interpreted]] (by both the [[runtime system]] and by human readers). The [[Python (programming language)\|Python language]] has many similarities to [[Perl]], [[C (programming language)\|C]], and [[Java (programming language)\|Java]]. However, there are some definite differences between the languages. It supports multiple [[programming paradigm]]s, including structured, [[object-oriented programming]], and [[functional programming]], and boasts a dynamic type system and automatic memory management.

	Python's [[syntax (programming languages)\|syntax]] is simple and consistent, adhering to the principle that "There should be one— and preferably only one —obvious way to do it." The language incorporates built-in data types and structures, control flow mechanisms, [[First-class function\| first-class functions]], and modules for better [[code]] reusability and organization. [[Python (programming language)\|Python]] also uses [[English language \|English]] keywords where other languages use punctuation, contributing to its uncluttered visual layout.		Python's [[syntax (programming languages)\|syntax]] is simple and consistent, adhering to the principle that "There should be one— and preferably only one —obvious way to do it." The language incorporates built-in data types and structures, control flow mechanisms, [[First-class function\| first-class functions]], and modules for better [[code]] reusability and organization. [[Python (programming language)\|Python]] also uses [[English language \|English]] keywords where other languages use punctuation, contributing to its uncluttered visual layout.

212.221.45.125: /* Keywords */ Per MOS:YOU

2024-11-03T13:54:19Z

Keywords: Per MOS:YOU

← Previous revision		Revision as of 13:54, 3 November 2024
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	{{div col end}}		{{div col end}}

	In addition, Python also has 3 ''soft keywords''. Unlike regular ''hard keywords'', soft keywords are reserved words only in the limited contexts where interpreting them as keywords would make syntactic sense. These words can be used as identifiers elsewhere; ~~You~~ ~~can~~ ~~define a function or variable named~~ ''match'' or ''case''.<ref>{{cite web\|title=2. Lexical analysis\|url=https://docs.python.org/3/reference/lexical_analysis.html#soft-keywords\|access-date=2022-01-22\|work=Python 3 documentation\|publisher=Python Software Foundation}}</ref><ref name="pep-0622">{{cite web \|url=https://www.python.org/dev/peps/pep-0622/#backwards-compatibility \|title=PEP 622 -- Structural Pattern Matching \|date=2020-06-23 \|access-date=2022-01-22 }}</ref>		In addition, Python also has 3 ''soft keywords''. Unlike regular ''hard keywords'', soft keywords are reserved words only in the limited contexts where interpreting them as keywords would make syntactic sense. These words can be used as identifiers elsewhere, in other words, ''match'' and ''case'' are valid names for functions and variables.<ref>{{cite web\|title=2. Lexical analysis\|url=https://docs.python.org/3/reference/lexical_analysis.html#soft-keywords\|access-date=2022-01-22\|work=Python 3 documentation\|publisher=Python Software Foundation}}</ref><ref name="pep-0622">{{cite web \|url=https://www.python.org/dev/peps/pep-0622/#backwards-compatibility \|title=PEP 622 -- Structural Pattern Matching \|date=2020-06-23 \|access-date=2022-01-22 }}</ref>
	*<code>_</code>{{refn\|group=note\|name=keywordIn310\|<code>match</code>, <code>case</code> and <code>_</code> were introduced as keywords in Python 3.10.}}		*<code>_</code>{{refn\|group=note\|name=keywordIn310\|<code>match</code>, <code>case</code> and <code>_</code> were introduced as keywords in Python 3.10.}}
	*<code>case</code>{{refn\|group=note\|name=keywordIn310\|<code>match</code>, <code>case</code> and <code>_</code> were introduced as keywords in Python 3.10.}}		*<code>case</code>{{refn\|group=note\|name=keywordIn310\|<code>match</code>, <code>case</code> and <code>_</code> were introduced as keywords in Python 3.10.}}

2607:FA49:1840:300:59A7:4084:54A8:5B97: added hyperlink to functional programming

2024-10-27T04:14:59Z

added hyperlink to functional programming

← Previous revision		Revision as of 04:14, 27 October 2024
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	[[File:Python example.jpg\|thumb\|300px\|A snippet of Python code with keywords highlighted in bold yellow font]]		[[File:Python example.jpg\|thumb\|300px\|A snippet of Python code with keywords highlighted in bold yellow font]]

	The '''[[syntax (programming languages)\|syntax]] of the [[Python (programming language)\|Python programming language]]''' is the set of rules that defines how a Python program will be written and [[Interpreter (computing)\|interpreted]] (by both the [[runtime system]] and by human readers). The [[Python (programming language)\|Python language]] has many similarities to [[Perl]], [[C (programming language)\|C]], and [[Java (programming language)\|Java]]. However, there are some definite differences between the languages. It supports multiple [[programming paradigm]]s, including structured, [[object-oriented programming]], and functional programming, and boasts a dynamic type system and automatic memory management.		The '''[[syntax (programming languages)\|syntax]] of the [[Python (programming language)\|Python programming language]]''' is the set of rules that defines how a Python program will be written and [[Interpreter (computing)\|interpreted]] (by both the [[runtime system]] and by human readers). The [[Python (programming language)\|Python language]] has many similarities to [[Perl]], [[C (programming language)\|C]], and [[Java (programming language)\|Java]]. However, there are some definite differences between the languages. It supports multiple [[programming paradigm]]s, including structured, [[object-oriented programming]], and [[functional programming]], and boasts a dynamic type system and automatic memory management.

	Python's [[syntax (programming languages)\|syntax]] is simple and consistent, adhering to the principle that "There should be one— and preferably only one —obvious way to do it." The language incorporates built-in data types and structures, control flow mechanisms, [[First-class function\| first-class functions]], and modules for better [[code]] reusability and organization. [[Python (programming language)\|Python]] also uses [[English language \|English]] keywords where other languages use punctuation, contributing to its uncluttered visual layout.		Python's [[syntax (programming languages)\|syntax]] is simple and consistent, adhering to the principle that "There should be one— and preferably only one —obvious way to do it." The language incorporates built-in data types and structures, control flow mechanisms, [[First-class function\| first-class functions]], and modules for better [[code]] reusability and organization. [[Python (programming language)\|Python]] also uses [[English language \|English]] keywords where other languages use punctuation, contributing to its uncluttered visual layout.

Andy Dingley: Restored revision 1223703077 by Artem.G (talk): Rv recent unconstructive edits

2024-09-23T12:35:42Z

Restored revision 1223703077 by Artem.G (talk): Rv recent unconstructive edits

← Previous revision		Revision as of 12:35, 23 September 2024
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	As mentioned above, another strength of Python is the availability of a [[functional programming]] style. As may be expected, this makes working with lists and other collections much more straightforward.		As mentioned above, another strength of Python is the availability of a [[functional programming]] style. As may be expected, this makes working with lists and other collections much more straightforward.

			=== Comprehensions ===
			{{Main\|List comprehension}}

			One such construction is the [[list comprehension]], which can be expressed with the following format:

			<syntaxhighlight lang="python">
			L = [mapping_expression for element in source_list if filter_expression]
			</syntaxhighlight>

			Using list comprehension to calculate the first five powers of two:

			<syntaxhighlight lang="python">
			powers_of_two = [2**n for n in range(1, 6)]
			</syntaxhighlight>

			The [[Quicksort]] algorithm can be expressed elegantly (albeit inefficiently) using list comprehensions:

			<syntaxhighlight lang="python">
			def qsort(L):
			if L == []:
			return []
			pivot = L[0]
			return (qsort([x for x in L[1:] if x < pivot]) +
			[pivot] +
			qsort([x for x in L[1:] if x >= pivot]))
			</syntaxhighlight>

			Python 2.7+<ref>{{Cite web \|url=https://www.python.org/download/releases/2.7/ \|title=Python 2.7.0 Release \|access-date=2016-01-19 \|archive-url=https://web.archive.org/web/20160127021350/https://www.python.org/download/releases/2.7/ \|archive-date=2016-01-27 \|url-status=live }}</ref> also supports set comprehensions<ref>{{Cite web \|url=https://docs.python.org/2/tutorial/datastructures.html#sets \|title=5. Data Structures — Python 2.7.18 documentation \|access-date=2016-01-19 \|archive-url=https://web.archive.org/web/20160126161121/https://docs.python.org/2/tutorial/datastructures.html#sets \|archive-date=2016-01-26 \|url-status=live }}</ref> and dictionary comprehensions.<ref>{{Cite web \|url=https://docs.python.org/2/tutorial/datastructures.html#dictionaries \|title=5. Data Structures — Python 2.7.18 documentation \|access-date=2016-01-19 \|archive-url=https://web.archive.org/web/20160126161121/https://docs.python.org/2/tutorial/datastructures.html#dictionaries \|archive-date=2016-01-26 \|url-status=live }}</ref>

	=== First-class functions ===		=== First-class functions ===

118.148.119.151: Removed ... something

2024-09-23T07:43:59Z

Removed ... something

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2409:40C1:D:2DEC:8000:0:0:0: Code Check and key

2024-09-23T07:20:03Z

Code Check and key

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ClueBot NG: Reverting possible vandalism by 2409:40C1:D:2DEC:8000:0:0:0 to version by Artem.G. Report False Positive? Thanks, ClueBot NG. (4346588) (Bot)

2024-09-23T07:17:51Z

Reverting possible vandalism by 2409:40C1:D:2DEC:8000:0:0:0 to version by Artem.G. Report False Positive? Thanks, ClueBot NG. (4346588) (Bot)

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2409:40C1:D:2DEC:8000:0:0:0: /* Comprehensions */

2024-09-23T07:17:37Z

Comprehensions

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Artem.G: Reverted 1 edit by 216.198.171.234 (talk): Test edit or vandalism?

2024-05-13T20:26:11Z

Reverted 1 edit by 216.198.171.234 (talk): Test edit or vandalism?

@@ Line 429: / Line 429: @@
 and you can see that <code>b</code>, as visible from the closure's scope, retains the value it had; the changed binding of <code>b</code> inside the inner function did not propagate out.  The way around this is to use a <code>nonlocal b</code> statement in <code>bar</code>. In Python 2 (which lacks <code>nonlocal</code>), the usual workaround is to use a mutable value and change that value, not the binding.  E.g., a list with one element.
-      moveForward(length2);
+    for n in count(start=2):
-      moveForward(length2);
+    print(i)
 === Generator expressions ===

← Previous revision		Revision as of 05:05, 1 May 2025
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	[[File:Python example.jpg\|thumb\|300px\|A snippet of Python code with keywords highlighted in bold yellow font]]		[[File:Python example.jpg\|thumb\|300px\|A snippet of Python code with keywords highlighted in bold yellow font]]

	The ~~'''~~[[syntax (programming languages)\|syntax]] of the [[Python (programming language)\|Python programming language]]~~'''~~ is the set of rules that defines how a Python program will be written and [[Interpreter (computing)\|interpreted]] (by both the [[runtime system]] and by human readers). The [[Python (programming language)\|Python language]] has many similarities to [[Perl]], [[C (programming language)\|C]], and [[Java (programming language)\|Java]]. However, there are some definite differences between the languages. It supports multiple [[programming paradigm]]s, including structured, [[object-oriented programming]], and [[functional programming]], and boasts a dynamic type system and automatic memory management.		The [[syntax (programming languages)\|syntax]] of the [[Python (programming language)\|Python programming language]] is the set of rules that defines how a Python program will be written and [[Interpreter (computing)\|interpreted]] (by both the [[runtime system]] and by human readers). The [[Python (programming language)\|Python language]] has many similarities to [[Perl]], [[C (programming language)\|C]], and [[Java (programming language)\|Java]]. However, there are some definite differences between the languages. It supports multiple [[programming paradigm]]s, including structured, [[object-oriented programming]], and [[functional programming]], and boasts a dynamic type system and automatic memory management.

	Python's [[syntax (programming languages)\|syntax]] is simple and consistent, adhering to the principle that "There should be one— and preferably only one —obvious way to do it." The language incorporates built-in data types and structures, control flow mechanisms, [[First-class function\| first-class functions]], and modules for better [[code]] reusability and organization. [[Python (programming language)\|Python]] also uses [[English language \|English]] keywords where other languages use punctuation, contributing to its uncluttered visual layout.		Python's [[syntax (programming languages)\|syntax]] is simple and consistent, adhering to the principle that "There should be one— and preferably only one —obvious way to do it." The language incorporates built-in data types and structures, control flow mechanisms, [[First-class function\| first-class functions]], and modules for better [[code]] reusability and organization. [[Python (programming language)\|Python]] also uses [[English language \|English]] keywords where other languages use punctuation, contributing to its uncluttered visual layout.

← Previous revision		Revision as of 04:14, 27 October 2024
Line 2:		Line 2:
	[[File:Python example.jpg\|thumb\|300px\|A snippet of Python code with keywords highlighted in bold yellow font]]		[[File:Python example.jpg\|thumb\|300px\|A snippet of Python code with keywords highlighted in bold yellow font]]

	The '''[[syntax (programming languages)\|syntax]] of the [[Python (programming language)\|Python programming language]]''' is the set of rules that defines how a Python program will be written and [[Interpreter (computing)\|interpreted]] (by both the [[runtime system]] and by human readers). The [[Python (programming language)\|Python language]] has many similarities to [[Perl]], [[C (programming language)\|C]], and [[Java (programming language)\|Java]]. However, there are some definite differences between the languages. It supports multiple [[programming paradigm]]s, including structured, [[object-oriented programming]], and functional programming, and boasts a dynamic type system and automatic memory management.		The '''[[syntax (programming languages)\|syntax]] of the [[Python (programming language)\|Python programming language]]''' is the set of rules that defines how a Python program will be written and [[Interpreter (computing)\|interpreted]] (by both the [[runtime system]] and by human readers). The [[Python (programming language)\|Python language]] has many similarities to [[Perl]], [[C (programming language)\|C]], and [[Java (programming language)\|Java]]. However, there are some definite differences between the languages. It supports multiple [[programming paradigm]]s, including structured, [[object-oriented programming]], and [[functional programming]], and boasts a dynamic type system and automatic memory management.

	Python's [[syntax (programming languages)\|syntax]] is simple and consistent, adhering to the principle that "There should be one— and preferably only one —obvious way to do it." The language incorporates built-in data types and structures, control flow mechanisms, [[First-class function\| first-class functions]], and modules for better [[code]] reusability and organization. [[Python (programming language)\|Python]] also uses [[English language \|English]] keywords where other languages use punctuation, contributing to its uncluttered visual layout.		Python's [[syntax (programming languages)\|syntax]] is simple and consistent, adhering to the principle that "There should be one— and preferably only one —obvious way to do it." The language incorporates built-in data types and structures, control flow mechanisms, [[First-class function\| first-class functions]], and modules for better [[code]] reusability and organization. [[Python (programming language)\|Python]] also uses [[English language \|English]] keywords where other languages use punctuation, contributing to its uncluttered visual layout.