Perl Data Language - Revision history

Citation bot: Add: doi-access. | Use this bot. Report bugs. | #UCB_CommandLine

2023-12-03T07:45:05Z

Add: doi-access. | Use this bot. Report bugs. | #UCB_CommandLine

← Previous revision		Revision as of 07:45, 3 December 2023
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	==Machine learning==		==Machine learning==
	PDL can be used for [[machine learning]]. It includes modules that are used to perform classic [[k-means clustering]] or general and generalized linear modeling methods such as ANOVA, linear regression, PCA, and logistic regression. Examples of PDL usage for regression modelling tasks include evaluating association between education attainment and ancestry differences of parents,<ref name="pmid25734509">{{cite journal \| vauthors = Abdellaoui A, Hottenga JJ, Willemsen G, Bartels M, van Beijsterveldt T, Ehli EA, Davies GE, Brooks A, Sullivan PF, Penninx BW, de Geus EJ, Boomsma DI \| title = Educational Attainment Influences Levels of Homozygosity through Migration and Assortative Mating \| journal = PLOS ONE \| volume = 10 \| issue = 3 \| pages = e0118935 \| date = Mar 2015 \| pmid = 25734509 \| pmc = 4347978 \| doi = 10.1371/journal.pone.0118935 \| bibcode = 2015PLoSO..1018935A \| doi-access = free }}</ref> comparison of RNA-protein interaction profiles that needs regression-based normalization<ref name="pmid24398258">{{cite journal \| vauthors = Wang T, Xie Y, Xiao G \| title = dCLIP: a computational approach for comparative CLIP-seq analyses \| journal = Genome Biology \| volume = 15 \| issue = 1 \| pages = R11 \| date = Jan 2014 \| pmid = 24398258 \| pmc = 4054096 \| doi = 10.1186/gb-2014-15-1-r11 }}</ref> and analysis of spectra of galaxies.<ref>{{cite journal \| vauthors = Sánchez SF, Pérez E, Sánchez-Blázquez P, González JJ, Rosález-Ortega FF, Cano-Dí az M, López-Cobá C, Marino RA, Gil de Paz A, Mollá M, López-Sánchez AR, Ascasibar Y, Barrera-Ballesteros J \| title = Pipe3D, a pipeline to analyze Integral Field Spectroscopy Data: I. New fitting philosophy of FIT3D \| journal = Revista Mexicana de Astronomía y Astrofísica \| volume = 52 \| pages = 21–53 \| date = April 2016 \| arxiv = 1509.08552 \| bibcode = 2016RMxAA..52...21S }}</ref>		PDL can be used for [[machine learning]]. It includes modules that are used to perform classic [[k-means clustering]] or general and generalized linear modeling methods such as ANOVA, linear regression, PCA, and logistic regression. Examples of PDL usage for regression modelling tasks include evaluating association between education attainment and ancestry differences of parents,<ref name="pmid25734509">{{cite journal \| vauthors = Abdellaoui A, Hottenga JJ, Willemsen G, Bartels M, van Beijsterveldt T, Ehli EA, Davies GE, Brooks A, Sullivan PF, Penninx BW, de Geus EJ, Boomsma DI \| title = Educational Attainment Influences Levels of Homozygosity through Migration and Assortative Mating \| journal = PLOS ONE \| volume = 10 \| issue = 3 \| pages = e0118935 \| date = Mar 2015 \| pmid = 25734509 \| pmc = 4347978 \| doi = 10.1371/journal.pone.0118935 \| bibcode = 2015PLoSO..1018935A \| doi-access = free }}</ref> comparison of RNA-protein interaction profiles that needs regression-based normalization<ref name="pmid24398258">{{cite journal \| vauthors = Wang T, Xie Y, Xiao G \| title = dCLIP: a computational approach for comparative CLIP-seq analyses \| journal = Genome Biology \| volume = 15 \| issue = 1 \| pages = R11 \| date = Jan 2014 \| pmid = 24398258 \| pmc = 4054096 \| doi = 10.1186/gb-2014-15-1-r11 \| doi-access = free }}</ref> and analysis of spectra of galaxies.<ref>{{cite journal \| vauthors = Sánchez SF, Pérez E, Sánchez-Blázquez P, González JJ, Rosález-Ortega FF, Cano-Dí az M, López-Cobá C, Marino RA, Gil de Paz A, Mollá M, López-Sánchez AR, Ascasibar Y, Barrera-Ballesteros J \| title = Pipe3D, a pipeline to analyze Integral Field Spectroscopy Data: I. New fitting philosophy of FIT3D \| journal = Revista Mexicana de Astronomía y Astrofísica \| volume = 52 \| pages = 21–53 \| date = April 2016 \| arxiv = 1509.08552 \| bibcode = 2016RMxAA..52...21S }}</ref>

	==perldl==		==perldl==

SoloUnEditor: Raku is not Perl and there is no evidence Raku has any PDL-like features

2023-01-02T22:40:27Z

Raku is not Perl and there is no evidence Raku has any PDL-like features

← Previous revision		Revision as of 22:40, 2 January 2023
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	PDL is a vectorized [[array programming]] language: the expression syntax is a variation on standard mathematical [[Vector (geometric)\|vector]] notation, so that the user can combine and operate on large arrays with simple expressions. In this respect, PDL follows in the footsteps of the [[APL programming language]], and it has been compared to commercial languages such as [[MATLAB]] and [[Interactive Data Language]], and to other free languages such as [[NumPy]] and [[GNU Octave#Octave.2C the language\|Octave]].<ref>{{Cite web\|url=http://blogs.perl.org/users/lhermida/2011/03/hi-everyone-as-a-bioinformatician.html\|title=Putting Perl Back on Top in the Fields of Scientific and Financial Computing}}</ref> Unlike MATLAB and IDL, PDL allows great flexibility in indexing and vectorization: for example, if a subroutine normally operates on a 2-D [[matrix (mathematics)\|matrix]] array, passing it a 3-D [[data cube]] will generally cause the same operation to happen to each 2-D layer of the cube.<ref>{{Cite web\|url=http://pdl.perl.org/?docs=Threading&title=PDL::Threading\|title=PDL online documentation (PDL::Threading section)}}</ref>		PDL is a vectorized [[array programming]] language: the expression syntax is a variation on standard mathematical [[Vector (geometric)\|vector]] notation, so that the user can combine and operate on large arrays with simple expressions. In this respect, PDL follows in the footsteps of the [[APL programming language]], and it has been compared to commercial languages such as [[MATLAB]] and [[Interactive Data Language]], and to other free languages such as [[NumPy]] and [[GNU Octave#Octave.2C the language\|Octave]].<ref>{{Cite web\|url=http://blogs.perl.org/users/lhermida/2011/03/hi-everyone-as-a-bioinformatician.html\|title=Putting Perl Back on Top in the Fields of Scientific and Financial Computing}}</ref> Unlike MATLAB and IDL, PDL allows great flexibility in indexing and vectorization: for example, if a subroutine normally operates on a 2-D [[matrix (mathematics)\|matrix]] array, passing it a 3-D [[data cube]] will generally cause the same operation to happen to each 2-D layer of the cube.<ref>{{Cite web\|url=http://pdl.perl.org/?docs=Threading&title=PDL::Threading\|title=PDL online documentation (PDL::Threading section)}}</ref>

	PDL borrows from Perl at least three basic types of program structure: [[imperative programming]], [[functional programming]], and [[pipeline programming]] forms may be combined. Subroutines may be loaded either via a built-in [[autoload]] mechanism or via the usual Perl module mechanism. In 2000, it was proposed that PDL-like functionality be included in the development of what is now [[Raku (programming language)\|Raku]].<ref>{{Cite web\|url=http://www.nntp.perl.org/group/perl.perl6.language.data/2000/08/msg160.html\|		PDL borrows from Perl at least three basic types of program structure: [[imperative programming]], [[functional programming]], and [[pipeline programming]] forms may be combined. Subroutines may be loaded either via a built-in [[autoload]] mechanism or via the usual Perl module mechanism.
	title=Re: RFC 169 (v1) Proposed syntax for matrix element access and slicing.}}</ref>

	==Graphics==		==Graphics==
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	The PDL API uses the basic Perl 5 object-oriented functionality: PDL defines a new type of Perl scalar object ([[eponym]]ously called a "PDL", or "ndarray") that acts as a Perl scalar, but that contains a conventional [[data type\|typed]] [[Array data type\|array]] of numeric or character values. All of the standard Perl operators are overloaded so that they can be used on PDL objects transparently, and PDLs can be mixed-and-matched with normal Perl scalars. Several hundred object methods for operating on PDLs are supplied by the core modules.		The PDL API uses the basic Perl 5 object-oriented functionality: PDL defines a new type of Perl scalar object ([[eponym]]ously called a "PDL", or "ndarray") that acts as a Perl scalar, but that contains a conventional [[data type\|typed]] [[Array data type\|array]] of numeric or character values. All of the standard Perl operators are overloaded so that they can be used on PDL objects transparently, and PDLs can be mixed-and-matched with normal Perl scalars. Several hundred object methods for operating on PDLs are supplied by the core modules.

	==Raku version==
	In [[Raku (programming language)\|Raku]], PDL is specified as a trait in Synopsis 9.<ref>{{cite web \|url=http://perlcabal.org/syn/S09.html#PDL_support \|title=S09 \|website=perlcabal.org \|url-status=dead \|archive-url=https://web.archive.org/web/20061011073202/http://perlcabal.org/syn/S09.html \|archive-date=2006-10-11}} </ref> As of January 2013, this feature is not yet implemented in [[Rakudo]].{{outdated section\|date=March 2017}}

	==See also==		==See also==

Citation bot: Alter: title. | Use this bot. Report bugs. | Suggested by BrownHairedGirl | #UCB_webform 1375/3828

2022-08-21T03:38:23Z

Alter: title. | Use this bot. Report bugs. | Suggested by BrownHairedGirl | #UCB_webform 1375/3828

← Previous revision		Revision as of 03:38, 21 August 2022
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	==Raku version==		==Raku version==
	In [[Raku (programming language)\|Raku]], PDL is specified as a trait in Synopsis 9.<ref>{{cite web \|url=http://perlcabal.org/syn/S09.html#PDL_support \|title=~~Archived copy~~ \|website=perlcabal.org \|url-status=dead \|archive-url=https://web.archive.org/web/20061011073202/http://perlcabal.org/syn/S09.html \|archive-date=2006-10-11}} </ref> As of January 2013, this feature is not yet implemented in [[Rakudo]].{{outdated section\|date=March 2017}}		In [[Raku (programming language)\|Raku]], PDL is specified as a trait in Synopsis 9.<ref>{{cite web \|url=http://perlcabal.org/syn/S09.html#PDL_support \|title=S09 \|website=perlcabal.org \|url-status=dead \|archive-url=https://web.archive.org/web/20061011073202/http://perlcabal.org/syn/S09.html \|archive-date=2006-10-11}} </ref> As of January 2013, this feature is not yet implemented in [[Rakudo]].{{outdated section\|date=March 2017}}

	==See also==		==See also==

SoloUnEditor: PDL website is https, Raku getting PDL features is from year 2000

2022-06-06T21:36:35Z

PDL website is https, Raku getting PDL features is from year 2000

← Previous revision		Revision as of 21:36, 6 June 2022
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	\| operating_system = [[Cross-platform]]		\| operating_system = [[Cross-platform]]
	\| license = [[GNU General Public License]], [[Artistic License]]		\| license = [[GNU General Public License]], [[Artistic License]]
	\| website = {{URL\|~~http~~://pdl.perl.org/}}		\| website = {{URL\|https://pdl.perl.org/}}
	}}		}}

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	PDL is a vectorized [[array programming]] language: the expression syntax is a variation on standard mathematical [[Vector (geometric)\|vector]] notation, so that the user can combine and operate on large arrays with simple expressions. In this respect, PDL follows in the footsteps of the [[APL programming language]], and it has been compared to commercial languages such as [[MATLAB]] and [[Interactive Data Language]], and to other free languages such as [[NumPy]] and [[GNU Octave#Octave.2C the language\|Octave]].<ref>{{Cite web\|url=http://blogs.perl.org/users/lhermida/2011/03/hi-everyone-as-a-bioinformatician.html\|title=Putting Perl Back on Top in the Fields of Scientific and Financial Computing}}</ref> Unlike MATLAB and IDL, PDL allows great flexibility in indexing and vectorization: for example, if a subroutine normally operates on a 2-D [[matrix (mathematics)\|matrix]] array, passing it a 3-D [[data cube]] will generally cause the same operation to happen to each 2-D layer of the cube.<ref>{{Cite web\|url=http://pdl.perl.org/?docs=Threading&title=PDL::Threading\|title=PDL online documentation (PDL::Threading section)}}</ref>		PDL is a vectorized [[array programming]] language: the expression syntax is a variation on standard mathematical [[Vector (geometric)\|vector]] notation, so that the user can combine and operate on large arrays with simple expressions. In this respect, PDL follows in the footsteps of the [[APL programming language]], and it has been compared to commercial languages such as [[MATLAB]] and [[Interactive Data Language]], and to other free languages such as [[NumPy]] and [[GNU Octave#Octave.2C the language\|Octave]].<ref>{{Cite web\|url=http://blogs.perl.org/users/lhermida/2011/03/hi-everyone-as-a-bioinformatician.html\|title=Putting Perl Back on Top in the Fields of Scientific and Financial Computing}}</ref> Unlike MATLAB and IDL, PDL allows great flexibility in indexing and vectorization: for example, if a subroutine normally operates on a 2-D [[matrix (mathematics)\|matrix]] array, passing it a 3-D [[data cube]] will generally cause the same operation to happen to each 2-D layer of the cube.<ref>{{Cite web\|url=http://pdl.perl.org/?docs=Threading&title=PDL::Threading\|title=PDL online documentation (PDL::Threading section)}}</ref>

	PDL borrows from Perl at least three basic types of program structure: [[imperative programming]], [[functional programming]], and [[pipeline programming]] forms may be combined. Subroutines may be loaded either via a built-in [[autoload]] mechanism or via the usual Perl module mechanism. PDL-like functionality ~~is being~~ included in the development of [[Raku (programming language)\|Raku]].<ref>{{Cite web\|url=http://www.nntp.perl.org/group/perl.perl6.language.data/2000/08/msg160.html\|		PDL borrows from Perl at least three basic types of program structure: [[imperative programming]], [[functional programming]], and [[pipeline programming]] forms may be combined. Subroutines may be loaded either via a built-in [[autoload]] mechanism or via the usual Perl module mechanism. In 2000, it was proposed that PDL-like functionality be included in the development of what is now [[Raku (programming language)\|Raku]].<ref>{{Cite web\|url=http://www.nntp.perl.org/group/perl.perl6.language.data/2000/08/msg160.html\|
	title=Re: RFC 169 (v1) Proposed syntax for matrix element access and slicing.}}</ref>		title=Re: RFC 169 (v1) Proposed syntax for matrix element access and slicing.}}</ref>

Palosirkka: release info from Wikidata

2022-04-25T10:44:18Z

release info from Wikidata

← Previous revision		Revision as of 10:44, 25 April 2022
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	\| released = {{Start date\|1996}}		\| released = {{Start date\|1996}}
	\| developer = [[Karl Glazebrook]], [[Jarle Brinchmann]], [[Tuomas Lukka]], and [[Christian Soeller]]		\| developer = [[Karl Glazebrook]], [[Jarle Brinchmann]], [[Tuomas Lukka]], and [[Christian Soeller]]
			\| latest release version = {{wikidata\|property\|edit\|reference\|P348}}
	\| latest_release_version = 2.057
			\| latest release date = {{start date and age\|{{wikidata\|qualifier\|P348\|P577}}}}
	\| latest_release_date = {{Start date and age\|2021\|08\|13\|df=yes}}<ref>{{cite web \| url=https://metacpan.org/release/PDL \| title=Perl Data Language - metacpan.org \| date=August 13, 2021 }}</ref>
	\| influenced by = [[APL (programming language)\|APL]], [[IDL (programming language)\|IDL]], [[Perl]]		\| influenced by = [[APL (programming language)\|APL]], [[IDL (programming language)\|IDL]], [[Perl]]
	\| operating_system = [[Cross-platform]]		\| operating_system = [[Cross-platform]]

Rlink2: /* Raku version */Archiving dead bare references

2022-03-15T01:01:13Z

Raku version: Archiving dead bare references

← Previous revision		Revision as of 01:01, 15 March 2022
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	==Raku version==		==Raku version==
	In [[Raku (programming language)\|Raku]], PDL is specified as a trait in Synopsis 9.<ref>http://perlcabal.org/syn/S09.html#PDL_support ~~{{Dead~~ ~~link~~\|~~date~~=~~February~~ ~~2022~~}}</ref> As of January 2013, this feature is not yet implemented in [[Rakudo]].{{outdated section\|date=March 2017}}		In [[Raku (programming language)\|Raku]], PDL is specified as a trait in Synopsis 9.<ref>{{cite web \|url=http://perlcabal.org/syn/S09.html#PDL_support \|title=Archived copy \|website=perlcabal.org \|url-status=dead \|archive-url=https://web.archive.org/web/20061011073202/http://perlcabal.org/syn/S09.html \|archive-date=2006-10-11}} </ref> As of January 2013, this feature is not yet implemented in [[Rakudo]].{{outdated section\|date=March 2017}}

	==See also==		==See also==

Surv1v4l1st: /* See also */ Reordered

2022-03-10T01:41:58Z

BrownHairedGirl: {{Dead link}} tag on bare URL refs which return HTTP 404 or 410

2022-02-19T14:28:39Z

{{Dead link}} tag on bare URL refs which return HTTP 404 or 410

← Previous revision		Revision as of 14:28, 19 February 2022
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	==Raku version==		==Raku version==
	In [[Raku (programming language)\|Raku]], PDL is specified as a trait in Synopsis 9.<ref>http://perlcabal.org/syn/S09.html#PDL_support</ref> As of January 2013, this feature is not yet implemented in [[Rakudo]].{{outdated section\|date=March 2017}}		In [[Raku (programming language)\|Raku]], PDL is specified as a trait in Synopsis 9.<ref>http://perlcabal.org/syn/S09.html#PDL_support {{Dead link\|date=February 2022}}</ref> As of January 2013, this feature is not yet implemented in [[Rakudo]].{{outdated section\|date=March 2017}}

	==See also==		==See also==

Comp.arch at 10:32, 25 October 2021

2021-10-25T10:32:52Z

← Previous revision		Revision as of 10:32, 25 October 2021
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	{{~~short~~ description\|Array programming library for Perl}}		{{Short description\|Array programming library for Perl}}
	{{Infobox programming language		{{Infobox programming language
	\| name = Perl Data Language (PDL)		\| name = Perl Data Language (PDL)
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	==See also==		==See also==
	{{Portal\|Free and open-source software}}		{{Portal\|Free and open-source software}}
	* [[List of numerical analysis software]]		* [[List of numerical-analysis software]]
	* [[Comparison of numerical analysis software]]		* [[Comparison of numerical-analysis software]]

	==References==		==References==

Citation bot: Add: doi-access. | Use this bot. Report bugs. | Suggested by Headbomb | Linked from Wikipedia:WikiProject_Academic_Journals/Journals_cited_by_Wikipedia/Sandbox | #UCB_webform_linked 550/924

2021-09-13T13:37:39Z

Add: doi-access. | Use this bot. Report bugs. | Suggested by Headbomb | Linked from Wikipedia:WikiProject_Academic_Journals/Journals_cited_by_Wikipedia/Sandbox | #UCB_webform_linked 550/924

← Previous revision		Revision as of 13:37, 13 September 2021
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	==Machine learning==		==Machine learning==
	PDL can be used for [[machine learning]]. It includes modules that are used to perform classic [[k-means clustering]] or general and generalized linear modeling methods such as ANOVA, linear regression, PCA, and logistic regression. Examples of PDL usage for regression modelling tasks include evaluating association between education attainment and ancestry differences of parents,<ref name="pmid25734509">{{cite journal \| vauthors = Abdellaoui A, Hottenga JJ, Willemsen G, Bartels M, van Beijsterveldt T, Ehli EA, Davies GE, Brooks A, Sullivan PF, Penninx BW, de Geus EJ, Boomsma DI \| title = Educational Attainment Influences Levels of Homozygosity through Migration and Assortative Mating \| journal = PLOS ONE \| volume = 10 \| issue = 3 \| pages = e0118935 \| date = Mar 2015 \| pmid = 25734509 \| pmc = 4347978 \| doi = 10.1371/journal.pone.0118935 \| bibcode = 2015PLoSO..1018935A }}</ref> comparison of RNA-protein interaction profiles that needs regression-based normalization<ref name="pmid24398258">{{cite journal \| vauthors = Wang T, Xie Y, Xiao G \| title = dCLIP: a computational approach for comparative CLIP-seq analyses \| journal = Genome Biology \| volume = 15 \| issue = 1 \| pages = R11 \| date = Jan 2014 \| pmid = 24398258 \| pmc = 4054096 \| doi = 10.1186/gb-2014-15-1-r11 }}</ref> and analysis of spectra of galaxies.<ref>{{cite journal \| vauthors = Sánchez SF, Pérez E, Sánchez-Blázquez P, González JJ, Rosález-Ortega FF, Cano-Dí az M, López-Cobá C, Marino RA, Gil de Paz A, Mollá M, López-Sánchez AR, Ascasibar Y, Barrera-Ballesteros J \| title = Pipe3D, a pipeline to analyze Integral Field Spectroscopy Data: I. New fitting philosophy of FIT3D \| journal = Revista Mexicana de Astronomía y Astrofísica \| volume = 52 \| pages = 21–53 \| date = April 2016 \| arxiv = 1509.08552 \| bibcode = 2016RMxAA..52...21S }}</ref>		PDL can be used for [[machine learning]]. It includes modules that are used to perform classic [[k-means clustering]] or general and generalized linear modeling methods such as ANOVA, linear regression, PCA, and logistic regression. Examples of PDL usage for regression modelling tasks include evaluating association between education attainment and ancestry differences of parents,<ref name="pmid25734509">{{cite journal \| vauthors = Abdellaoui A, Hottenga JJ, Willemsen G, Bartels M, van Beijsterveldt T, Ehli EA, Davies GE, Brooks A, Sullivan PF, Penninx BW, de Geus EJ, Boomsma DI \| title = Educational Attainment Influences Levels of Homozygosity through Migration and Assortative Mating \| journal = PLOS ONE \| volume = 10 \| issue = 3 \| pages = e0118935 \| date = Mar 2015 \| pmid = 25734509 \| pmc = 4347978 \| doi = 10.1371/journal.pone.0118935 \| bibcode = 2015PLoSO..1018935A \| doi-access = free }}</ref> comparison of RNA-protein interaction profiles that needs regression-based normalization<ref name="pmid24398258">{{cite journal \| vauthors = Wang T, Xie Y, Xiao G \| title = dCLIP: a computational approach for comparative CLIP-seq analyses \| journal = Genome Biology \| volume = 15 \| issue = 1 \| pages = R11 \| date = Jan 2014 \| pmid = 24398258 \| pmc = 4054096 \| doi = 10.1186/gb-2014-15-1-r11 }}</ref> and analysis of spectra of galaxies.<ref>{{cite journal \| vauthors = Sánchez SF, Pérez E, Sánchez-Blázquez P, González JJ, Rosález-Ortega FF, Cano-Dí az M, López-Cobá C, Marino RA, Gil de Paz A, Mollá M, López-Sánchez AR, Ascasibar Y, Barrera-Ballesteros J \| title = Pipe3D, a pipeline to analyze Integral Field Spectroscopy Data: I. New fitting philosophy of FIT3D \| journal = Revista Mexicana de Astronomía y Astrofísica \| volume = 52 \| pages = 21–53 \| date = April 2016 \| arxiv = 1509.08552 \| bibcode = 2016RMxAA..52...21S }}</ref>

	==perldl==		==perldl==

← Previous revision		Revision as of 01:41, 10 March 2022
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	==See also==		==See also==
	{{Portal\|Free and open-source software}}		{{Portal\|Free and open-source software}}
⚫	* [[List of numerical-analysis software]]
	* [[Comparison of numerical-analysis software]]		* [[Comparison of numerical-analysis software]]
		⚫	* [[List of numerical-analysis software]]

	==References==		==References==