https://puma.ub.uni-stuttgart.de/tag/PythonPUMA RSS feed for /tag/Python2026-04-14T15:41:09+02:00https://puma.ub.uni-stuttgart.de/bibtex/21fddadbd90778bc9ea469ef419e4364f/diglezakisdiglezakis2023-08-18T12:05:07+02:00hermit metadata python reasoning semanticWeb <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Lamy Jean-Baptiste" itemprop="url" href="/person/1a5af1747d11cb47f48dbff7cbf3c1018/author/0"><span itemprop="name">L. Jean-Baptiste</span></a></span></span>. </span><span class="additional-entrytype-information"><em>Seite <span itemprop="pagination">157--185</span>. </em><em><span itemprop="publisher">Apress</span>, </em><em>Berkeley, CA, </em><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"></span>(<em><span>2021<meta content="2021" itemprop="datePublished"/></span></em>)</span>Fri Aug 18 12:05:07 CEST 2023Berkeley, CAOntologies with Python: Programming OWL 2.0 Ontologies with Python and Owlready2157--185Automatic reasoning2021hermit metadata python reasoning semanticWeb 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.Automatic reasoning | SpringerLinkhttps://puma.ub.uni-stuttgart.de/bibtex/25b248ac3a0d688a713526892f49a2f68/sofiabgreinersofiabgreiner2022-10-17T15:47:36+02:00control myown opensource python regelungstechnik <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Sawyer Fuller" itemprop="url" href="/person/12393ba54f55e3ca1a931e9d6058790f4/author/0"><span itemprop="name">S. Fuller</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Ben Greiner" itemprop="url" href="/person/12393ba54f55e3ca1a931e9d6058790f4/author/1"><span itemprop="name">B. Greiner</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jason Moore" itemprop="url" href="/person/12393ba54f55e3ca1a931e9d6058790f4/author/2"><span itemprop="name">J. Moore</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Richard Murray" itemprop="url" href="/person/12393ba54f55e3ca1a931e9d6058790f4/author/3"><span itemprop="name">R. Murray</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="René van Paassen" itemprop="url" href="/person/12393ba54f55e3ca1a931e9d6058790f4/author/4"><span itemprop="name">R. van Paassen</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Rory Yorke" itemprop="url" href="/person/12393ba54f55e3ca1a931e9d6058790f4/author/5"><span itemprop="name">R. Yorke</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/Book" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="name">2021 60th IEEE Conference on Decision and Control (CDC)</span>, </em></span><em>Seite <span itemprop="pagination">4875-4881</span>. </em><em><span itemprop="publisher">IEEE</span>, </em>(<em><span>2021<meta content="2021" itemprop="datePublished"/></span></em>)</span>Mon Oct 17 15:47:36 CEST 20222021 60th IEEE Conference on Decision and Control (CDC)4875-4881The Python Control Systems Library (python-control)2021control myown opensource python regelungstechnik 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.https://puma.ub.uni-stuttgart.de/bibtex/27263fd531842c7678459bbaf71bdd902/droesslerdroessler2020-01-10T15:45:37+01:00Programmiersprache Python einführung software <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="David J. Pine" itemprop="url" href="/person/107fa7bbbcadb352dd023929e73994141/author/0"><span itemprop="name">D. Pine</span></a></span></span>. </span><span class="additional-entrytype-information"><em>Series in computational physics </em><em><span itemprop="publisher">CRC Press, Taylor &amp; Francis Group</span>, </em><em>Boca Raton ; London ; New York, </em>(<em><span>2019<meta content="2019" itemprop="datePublished"/></span></em>)<em>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.</em></span>Fri Jan 10 15:45:37 CET 2020Boca Raton ; London ; New YorkIntroduction -- 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 notebooksxix, 368 SeitenSeries in computational physicsIntroduction to Python for science and engineering2019Programmiersprache Python einführung software https://puma.ub.uni-stuttgart.de/bibtex/2eb31efb552c433bcaf448bec20a5f2b1/hermannhermann2018-11-14T11:48:21+01:00lehrbuch programmieren python <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Bernd Klein" itemprop="url" href="/person/1795b5440434adb726ade2306c5348514/author/0"><span itemprop="name">B. Klein</span></a></span></span>. </span><span class="additional-entrytype-information"><em><span itemprop="publisher">Hanser</span>, </em><em>München, </em><em><span itemprop="bookEdition">3., überarbeitete Auflage</span> Edition, </em>(<em><span>2018<meta content="2018" itemprop="datePublished"/></span></em>)</span>Wed Nov 14 11:48:21 CET 2018München3., überarbeitete Auflage XVI, 537 Seiten : Diagramme, Illustrationen Einführung in Python 3 : für Ein- und Umsteiger2018lehrbuch programmieren python 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.https://puma.ub.uni-stuttgart.de/bibtex/295af9d105d2c9582572a496ab3e78b59/mwiggermwigger2018-07-01T13:42:06+02:00python <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Valentin Heanel" itemprop="url" href="/person/1f62570233a0b8d430713ebc35d44cdfe/author/0"><span itemprop="name">V. Heanel</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Emmanuelle Gouillart" itemprop="url" href="/person/1f62570233a0b8d430713ebc35d44cdfe/author/1"><span itemprop="name">E. Gouillart</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Gael Varoquaux" itemprop="url" href="/person/1f62570233a0b8d430713ebc35d44cdfe/author/2"><span itemprop="name">G. Varoquaux</span></a></span></span>. </span><span class="additional-entrytype-information">(<em><span>November 2013<meta content="November 2013" itemprop="datePublished"/></span></em>)</span>Sun Jul 01 13:42:06 CEST 2018EuroScipy11S. 4-6Python Scientific lecture notes2013python https://puma.ub.uni-stuttgart.de/bibtex/2950b1d9a1ac18c8c4679c75b81170451/eckerteckert2017-02-10T13:40:19+01:00python skript <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Max Mustermann" itemprop="url" href="/person/169c1c128b4d12960bdf4643bfd152d10/author/0"><span itemprop="name">M. Mustermann</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"> </span>(<em><span>2010<meta content="2010" itemprop="datePublished"/></span></em>)</span>Fri Feb 10 13:40:19 CET 2017Einführung in Python2010python skript