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Titre : Developing graphics frameworks with Python and OpenGL Type de document : Guide/Manuel Auteurs : Lee Stemkoski, Auteur ; Michael Pascale, Auteur Editeur : Boca Raton, New York, ... : CRC Press Année de publication : 2021 Importance : 345 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-1-00-318137-8 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Langages informatiques
[Termes IGN] image 3D
[Termes IGN] interface de programmation
[Termes IGN] OpenGL
[Termes IGN] processeur graphique
[Termes IGN] programmation informatique
[Termes IGN] Python (langage de programmation)
[Termes IGN] scène 3D
[Termes IGN] texture
[Termes IGN] transformation géométriqueRésumé : (éditeur) Developing Graphics Frameworks with Python and OpenGL shows you how to create software for rendering complete three-dimensional scenes. The authors explain the foundational theoretical concepts as well as the practical programming techniques that will enable you to create your own animated and interactive computer-generated worlds. You will learn how to combine the power of OpenGL, the most widely adopted cross-platform API for GPU programming, with the accessibility and versatility of the Python programming language. Topics you will explore include generating geometric shapes, transforming objects with matrices, applying image-based textures to surfaces, and lighting your scene. Advanced sections explain how to implement procedurally generated textures, postprocessing effects, and shadow mapping. In addition to the sophisticated graphics framework you will develop throughout this book, with the foundational knowledge you will gain, you will be able to adapt and extend the framework to achieve even more spectacular graphical results. Note de contenu : 1- Introduction to computer graphics
2- Introduction to Pygame and OpenGL
3- Matrix algebra and transformations
4- A scene graph framework
5- Textures
6- Light and shadowNuméro de notice : 28306 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Manuel DOI : 10.1201/9781003181378 En ligne : https://doi.org/10.1201/9781003181378 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=98077
Titre : Introduction to scientific programming with Python Type de document : Guide/Manuel Auteurs : Joakim Sundnes, Auteur Editeur : Springer Nature Année de publication : 2020 Importance : 157 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-030-50356-7 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Langages informatiques
[Termes IGN] équation polynomiale
[Termes IGN] interface graphique
[Termes IGN] programmation adaptée à l'objet
[Termes IGN] Python (langage de programmation)Résumé : (éditeur) This open access book offers an initial introduction to programming for scientific and computational applications using the Python programming language. The presentation style is compact and example-based, making it suitable for students and researchers with little or no prior experience in programming. The book uses relevant examples from mathematics and the natural sciences to present programming as a practical toolbox that can quickly enable readers to write their own programs for data processing and mathematical modeling. These tools include file reading, plotting, simple text analysis, and using NumPy for numerical computations, which are fundamental building blocks of all programs in data science and computational science. At the same time, readers are introduced to the fundamental concepts of programming, including variables, functions, loops, classes, and object-oriented programming. Accordingly, the book provides a sound basis for further computer science and programming studies. Note de contenu : 1- Getting started with Python
2- Computing with formulas
3- Loops and lists
4- Functions and branching
5- User input and error handling
6- Arrays and plotting
7- Dictionaries and strings
8- Classes
9- Object-oriented programmingNuméro de notice : 28555 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Manuel informatique DOI : 10.1007/978-3-030-50356-7 En ligne : https://doi.org/10.1007/978-3-030-50356-7 Format de la ressource électronique : url Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=97444
Titre : Programming for Computations - Python Type de document : Guide/Manuel Auteurs : Svein Linge, Éditeur scientifique ; Hans Petter Langtangen, Éditeur scientifique Editeur : Springer Nature Année de publication : 2020 Importance : 332 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-030-16877-3 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Langages informatiques
[Termes IGN] codage
[Termes IGN] équation différentielle
[Termes IGN] programmation informatique
[Termes IGN] Python (langage de programmation)Index. décimale : 26.04 Langages informatiques Résumé : (éditeur) This second edition of the book presents computer programming as a key method for solving mathematical problems and represents a major revision: all code is now written in Python version 3.6 (the first edition was based on Python version 2.7). The first two chapters of the previous edition have been extended and split up into
five new chapters, thus expanding the introduction to programming from 50 to 150 pages. Throughout, explanations are now more complete, previous examples have been modified, and new sections, examples, and exercises have been added. Also, errors and typos have been corrected. The book was inspired by the Springer book TCSE 6, A Primer on Scientific Programming with Python (by Langtangen), but the style is more accessible and concise in keeping with the needs of engineering students. The book outlines the shortest possible path from no previous experience with programming to a set of skills that allows the students to write simple programs for solving common mathematical problems with numerical methods in engineering and science courses. The emphasis is on generic algorithms, clean design of programs, use of functions, and automatic tests for verification.Note de contenu : 1- The First Few Steps
2- A Few More Steps
3- Loops and Branching
4- Functions and the Writing of Code
5- Some More Python Essentials
6- Computing Integrals and Testing Code
7- Solving Nonlinear Algebraic Equations
8- Solving Ordinary Differential Equations
9- Solving Partial Differential EquationsNuméro de notice : 28461 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Manuel informatique DOI : 10.1007/978-3-030-16877-3 En ligne : https://doi.org/10.1007/978-3-030-16877-3 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=99072 Geographic Knowledge Graph (GeoKG): A formalized geographic knowledge representation / Shu Wang in ISPRS International journal of geo-information, vol 8 n° 4 (April 2019)
Titre : Geographic Knowledge Graph (GeoKG): A formalized geographic knowledge representation Type de document : Article/Communication Auteurs : Shu Wang, Auteur ; Xueying Zhang, Auteur ; Peng Ye, Auteur ; Mi Du, Auteur ; et al., Auteur Année de publication : 2019 Article en page(s) : n° 184 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Langages informatiques
[Termes IGN] formalisation
[Termes IGN] langage de programmation
[Termes IGN] Nankin (Kiangsou)
[Termes IGN] représentation des connaissances
[Termes IGN] réseau sémantiqueRésumé : (auteur) Formalized knowledge representation is the foundation of Big Data computing, mining and visualization. Current knowledge representations regard information as items linked to relevant objects or concepts by tree or graph structures. However, geographic knowledge differs from general knowledge, which is more focused on temporal, spatial, and changing knowledge. Thus, discrete knowledge items are difficult to represent geographic states, evolutions, and mechanisms, e.g., the processes of a storm “{9:30-60 mm-precipitation}-{12:00-80 mm-precipitation}-…”. The underlying problem is the constructors of the logic foundation (ALC description language) of current geographic knowledge representations, which cannot provide these descriptions. To address this issue, this study designed a formalized geographic knowledge representation called GeoKG and supplemented the constructors of the ALC description language. Then, an evolution case of administrative divisions of Nanjing was represented with the GeoKG. In order to evaluate the capabilities of our formalized model, two knowledge graphs were constructed by using the GeoKG and the YAGO by using the administrative division case. Then, a set of geographic questions were defined and translated into queries. The query results have shown that GeoKG results are more accurate and complete than the YAGO’s with the enhancing state information. Additionally, the user evaluation verified these improvements, which indicates it is a promising powerful model for geographic knowledge representation. Numéro de notice : A2019-671 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article DOI : 10.3390/ijgi8040184 Date de publication en ligne : 08/04/2019 En ligne : https://doi.org/10.3390/ijgi8040184 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=100286
in ISPRS International journal of geo-information > vol 8 n° 4 (April 2019) . - n° 184[article]
Titre : Agile processes in software engineering and extreme programming : Proceedings Type de document : Actes de congrès Auteurs : Philippe Kruchten, Éditeur scientifique ; Steven Fraser, Éditeur scientifique ; François Coallier, Éditeur scientifique Congrès : XP 2019, 20th International Conference on Agile Software Development (May 21 - 25 2019; Montreal, Québec - Canada), Auteur ; XP 2019, 20th International Conference on Agile Software Development (May 21 - 25 2019; Montreal, Québec - Canada) Editeur : Berlin, Heidelberg, Vienne, New York, ... : Springer Année de publication : 2019 Conférence : XP 2019, 20th International Conference on Agile Software Development 21/05/2019 25/05/2019 Montréal Québec - Canada Importance : 264 p. Format : 16 x 24 cm ISBN/ISSN/EAN : 978-3-030-19034-7 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Langages informatiques
[Termes IGN] application informatique
[Termes IGN] génie logiciel
[Termes IGN] logiciel
[Termes IGN] méthode agile
[Termes IGN] programmation informatiqueRésumé : (éditeur) This open access book constitutes the proceedings of the 21st International Conference on Agile Software Development, XP 2020, which was planned to be held during June 8-12, 2020, at the IT University of Copenhagen, Denmark. However, due to the COVID-19 pandemic the conference was postponed until an undetermined date. XP is the premier agile software development conference combining research and practice. It is a hybrid forum where agile researchers, academics, practitioners, thought leaders, coaches, and trainers get together to present and discuss their most recent innovations, research results, experiences, concerns, challenges, and trends. Following this history, for both researchers and seasoned practitioners XP 2020 provided an informal environment to network, share, and discover trends in Agile for the next 20 years. The 14 full and 2 short papers presented in this volume were carefully reviewed and selected from 37 submissions. They were organized in topical sections named: agile adoption; agile practices; large-scale agile; the business of agile; and agile and testing. Note de contenu : - Agile Practices in Practice: Towards a Theory of Agile Adoption and Process Evolution
- Agile Methods Knowledge Representation for Systematic Practices Adoption
- Leadership Gap in Agile Teams: How Teams and Scrum Masters Mature
- BAM - Backlog Assessment Method
- The Unfulfilled Potential of Data-Driven Decision Making in Agile Software Development
- Empowering Agile Project Members with Accessibility Testing Tools: A Case Study
- Artifact-Facilitated Communication in Agile User-Centered Design
- The Product Owner in Large-Scale Agile: An Empirical Study Through the Lens of Relational Coordination Theory
- Using Social Network Analysis to Investigate the Collaboration Between Architects and Agile Teams: A Case Study of a Large-Scale Agile Development Program in a German Consumer Electronics Company
- How Are Agile Release Trains Formed in Practice? A Case Study in a Large Financial Corporation
- Corporate-Level Communities at Ericsson: Parallel Organizational Structure for Fostering Alignment for Autonomy
- Scaling Agile Beyond Organizational Boundaries: Coordination Challenges in Software Ecosystems
- Enterprise Agility: A Balancing Act - A Local Government Case Study
- A Taxonomy of Software Engineering Challenges for Machine Learning Systems: An Empirical Investigation
- Evolution of Scrum Transcending Business Domains and the Future of Agile Project ManagementNuméro de notice : 25974 Affiliation des auteurs : non IGN Thématique : INFORMATIQUE Nature : Actes DOI : 10.1007/978-3-030-19034-7 En ligne : https://doi.org/10.1007/978-3-030-19034-7 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=96641
