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<rdf:RDF xmlns:community="http://www.bibsonomy.org/ontologies/2008/05/community#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:owl="http://www.w3.org/2002/07/owl#" xmlns:admin="http://webns.net/mvcb/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:syn="http://purl.org/rss/1.0/modules/syndication/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" xmlns:cc="http://web.resource.org/cc/" xmlns:xsd="http://www.w3.org/2001/XMLSchema#" xmlns:swrc="http://swrc.ontoware.org/ontology#" xmlns:rdfs="http://www.w3.org/2000/01/rdf-schema#" xmlns="http://purl.org/rss/1.0/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xml:base="https://puma.ub.uni-stuttgart.de/tag/Python"><owl:Ontology rdf:about=""><rdfs:comment>PUMA publications for /tag/Python</rdfs:comment><owl:imports rdf:resource="http://swrc.ontoware.org/ontology/portal"/></owl:Ontology><rdf:Description rdf:about="https://puma.ub.uni-stuttgart.de/bibtex/21fddadbd90778bc9ea469ef419e4364f/diglezakis"><owl:sameAs rdf:resource="/uri/bibtex/21fddadbd90778bc9ea469ef419e4364f/diglezakis"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InBook"/><owl:sameAs rdf:resource="https://doi.org/10.1007/978-1-4842-6552-9_7"/><swrc:date>Fri Aug 18 12:05:07 CEST 2023</swrc:date><swrc:address>Berkeley, CA</swrc:address><swrc:booktitle>Ontologies with Python: Programming OWL 2.0 Ontologies with Python and Owlready2</swrc:booktitle><swrc:pages>157--185</swrc:pages><swrc:publisher><swrc:Organization swrc:name="Apress"/></swrc:publisher><swrc:title>Automatic reasoning</swrc:title><swrc:year>2021</swrc:year><swrc:keywords>hermit metadata python reasoning semanticWeb </swrc:keywords><swrc:abstract>In this chapter, we will see how to use the HermiT and Pellet reasoners in Python, in order to check the consistency of an ontology and to perform automatic deductions and classification, on the basis of the logical constructors.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="978-1-4842-6552-9" swrc:key="isbn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1007/978-1-4842-6552-9_7" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Lamy Jean-Baptiste"/></rdf:_1></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="https://puma.ub.uni-stuttgart.de/bibtex/25b248ac3a0d688a713526892f49a2f68/sofiabgreiner"><owl:sameAs rdf:resource="/uri/bibtex/25b248ac3a0d688a713526892f49a2f68/sofiabgreiner"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#InProceedings"/><owl:sameAs rdf:resource="https://ieeexplore.ieee.org/document/9683368"/><swrc:date>Mon Oct 17 15:47:36 CEST 2022</swrc:date><swrc:booktitle>2021 60th IEEE Conference on Decision and Control (CDC)</swrc:booktitle><swrc:pages>4875-4881</swrc:pages><swrc:publisher><swrc:Organization swrc:name="IEEE"/></swrc:publisher><swrc:title>The Python Control Systems Library (python-control)</swrc:title><swrc:year>2021</swrc:year><swrc:keywords>control myown opensource python regelungstechnik </swrc:keywords><swrc:abstract>The Python Control Systems Library (python-control) is an open source set of Python classes and functions that implement common operations for the analysis and design of feedback control systems. In addition to support for standard LTI control systems (including time and frequency response, block diagram algebra, stability and robustness analysis, and control system synthesis), the package provides support for nonlinear input/output systems, including system interconnection, simulation, and describing function analysis. A MATLAB compatibility layer provides an many of the common functions corresponding to commands available in the MATLAB Control Systems Toolbox. The library takes advantage of the Python “scientific stack” of Numpy, Matplotlib, and Jupyter Notebooks and offers easy interoperation with other category-leading software systems in data science, machine learning, and robotics that have largely been built on Python.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="Austin, TX, USA" swrc:key="venue"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="978-1-6654-3660-1" swrc:key="isbn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.1109/CDC45484.2021.9683368" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Sawyer Fuller"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Ben Greiner"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Jason Moore"/></rdf:_3><rdf:_4><swrc:Person swrc:name="Richard Murray"/></rdf:_4><rdf:_5><swrc:Person swrc:name="René van Paassen"/></rdf:_5><rdf:_6><swrc:Person swrc:name="Rory Yorke"/></rdf:_6></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="https://puma.ub.uni-stuttgart.de/bibtex/27263fd531842c7678459bbaf71bdd902/droessler"><owl:sameAs rdf:resource="/uri/bibtex/27263fd531842c7678459bbaf71bdd902/droessler"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Book"/><swrc:date>Fri Jan 10 15:45:37 CET 2020</swrc:date><swrc:address>Boca Raton ; London ; New York</swrc:address><swrc:note>Introduction -- Launching Python -- Strings, lists, arrays, and dictionaries -- Input and output -- Conditionals and loops -- Plotting -- Functions -- Curve fitting -- Numerical routines : SciPy and NumPy -- Data manipulation and analysis : Pandas -- Animation -- Python classes and GUIs -- Installing Python -- Jupyter notebooks</swrc:note><swrc:pages>xix, 368 Seiten</swrc:pages><swrc:publisher><swrc:Organization swrc:name="CRC Press, Taylor &amp; Francis Group"/></swrc:publisher><swrc:series>Series in computational physics</swrc:series><swrc:title>Introduction to Python for science and engineering</swrc:title><swrc:year>2019</swrc:year><swrc:keywords>Programmiersprache Python einführung software </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="9781138583900" swrc:key="isbn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="Englisch" swrc:key="language"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="David J. Pine"/></rdf:_1></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="https://puma.ub.uni-stuttgart.de/bibtex/2eb31efb552c433bcaf448bec20a5f2b1/hermann"><owl:sameAs rdf:resource="/uri/bibtex/2eb31efb552c433bcaf448bec20a5f2b1/hermann"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Book"/><swrc:date>Wed Nov 14 11:48:21 CET 2018</swrc:date><swrc:address>München</swrc:address><swrc:edition>3., überarbeitete Auflage </swrc:edition><swrc:pages>XVI, 537 Seiten : Diagramme, Illustrationen </swrc:pages><swrc:publisher><swrc:Organization swrc:name="Hanser"/></swrc:publisher><swrc:title>Einführung in Python 3 : für Ein- und Umsteiger</swrc:title><swrc:year>2018</swrc:year><swrc:keywords>lehrbuch programmieren python </swrc:keywords><swrc:abstract>Als idealer Einstieg für Programmieranfänger wie für Umsteiger behandelt dieses Buch alle grundlegenden Sprachelemente von Python 3. Aber auch Python-Kennern bietet das Buch viele weiterführende Themen wie Systemprogrammierung, Threads, Forks, Ausnahmehandlungen und Modultests. Die wesentlichen Begriffe und Techniken der Programmierung und die zugrundeliegenden Ideen werden in diesem Buch anschaulich erklärt. Die Problemstellungen werden mit typischen Beispielen verdeutlicht, die sich leicht auf andere Anwendungsfälle übertragen lassen. Ebenso dienen die Übungsaufgaben mit ausführlich dokumentierten Musterlösungen nicht nur dazu, den Stoff zu vertiefen, sondern auch, exemplarische Vorgehensweisen zu demonstrieren, die in vielen anderen Bereichen Verwendung finden können. In interessanten Anwendungsfällen werden alle erlernten Konzepte zusammengeführt: Design einer Klasse „Bruch“ für Bruchrechnung, Implementierung des Spieles Mastermind und eine komplette Einführung in die automatische Dokumentenklassifikation. Erweitert wurde auch das umfassende Stichwortverzeichnis und somit die Verwendung des Buches als Nachschlagewerk zusätzlich verbessert.</swrc:abstract><swrc:hasExtraField><swrc:Field swrc:value="978-3-446-45208-4" swrc:key="isbn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="978-3-446-45387-6" swrc:key="eisbn"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="10.3139/9783446453876" swrc:key="doi"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Bernd Klein"/></rdf:_1></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="https://puma.ub.uni-stuttgart.de/bibtex/295af9d105d2c9582572a496ab3e78b59/mwigger"><owl:sameAs rdf:resource="/uri/bibtex/295af9d105d2c9582572a496ab3e78b59/mwigger"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Misc"/><swrc:date>Sun Jul 01 13:42:06 CEST 2018</swrc:date><swrc:booktitle>EuroScipy</swrc:booktitle><swrc:month>11</swrc:month><swrc:pages>S. 4-6</swrc:pages><swrc:title>Python Scientific lecture notes</swrc:title><swrc:year>2013</swrc:year><swrc:keywords>python </swrc:keywords><swrc:hasExtraField><swrc:Field swrc:value="2014-10-28 17:47:40 +0000" swrc:key="date-modified"/></swrc:hasExtraField><swrc:hasExtraField><swrc:Field swrc:value="2014-10-28 17:42:19 +0000" swrc:key="date-added"/></swrc:hasExtraField><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Valentin Heanel"/></rdf:_1><rdf:_2><swrc:Person swrc:name="Emmanuelle Gouillart"/></rdf:_2><rdf:_3><swrc:Person swrc:name="Gael Varoquaux"/></rdf:_3></rdf:Seq></swrc:author></rdf:Description><rdf:Description rdf:about="https://puma.ub.uni-stuttgart.de/bibtex/2950b1d9a1ac18c8c4679c75b81170451/eckert"><owl:sameAs rdf:resource="/uri/bibtex/2950b1d9a1ac18c8c4679c75b81170451/eckert"/><rdf:type rdf:resource="http://swrc.ontoware.org/ontology#Article"/><swrc:date>Fri Feb 10 13:40:19 CET 2017</swrc:date><swrc:title>Einführung in Python</swrc:title><swrc:year>2010</swrc:year><swrc:keywords>python skript </swrc:keywords><swrc:author><rdf:Seq><rdf:_1><swrc:Person swrc:name="Max Mustermann"/></rdf:_1></rdf:Seq></swrc:author></rdf:Description><foaf:Group rdf:about="https://puma.ub.uni-stuttgart.de/tag/Python"><foaf:name>Python</foaf:name><description>Community for tag(s) Python</description></foaf:Group></rdf:RDF>