Book

Toute la fonction Marketing

  • Auteur: Nathalie Van Laethem
  • ISBN: 2 10 048676 4
  • Categorie: Livre
  • Maison Edition: Dunod
  • Ville Edition: Paris
  • Année Edition: 2005
  • Domaine: Management

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Book

Les cahiers du journalisme

  • Auteur: Bertrand Labasse
  • ISBN: 978-2-7603-3098-6
  • Categorie: Livre
  • Maison Edition: Presses de l’École supérieure de journalisme de Lille
  • Ville Edition:
  • Année Edition: 2018
  • Domaine: Science de l'information et de Communication

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Book
  • Maison Edition: Pearson
  • Ville Edition:
  • Année Edition: 2005
  • Domaine: Sciences Informatiques

Applying UML and Patternsis the world’s #1 business and college introduction to “thinking in objects” - and using that insight in real-world object-oriented analysis and design. Building on two widely acclaimed previous editions, Craig Larman has updated this book to fully reflect the new UML 2 standard, to help you master the art of object design, and to promote high-impact, iterative, and skillful agile modeling practices. Developers and students will learn object-oriented analysis and design (OOA/D) through three iterations of two cohesive, start-to-finish case studies. These case studies incrementally introduce key skills, essential OO principles and patterns, UML notation, and best practices. You won’t just learn UML diagrams - you’ll learn how to apply UML in the context of OO software development. Drawing on his unsurpassed experience as a mentor and consultant, Larman helps you understand evolutionary requirements and use cases, domain object modeling, responsibility-driven design, essential OO design, layered architectures, “Gang of Four” design patterns, GRASP, iterative methods, an agile approach to the Unified Process (UP), and much more. This edition’s extensive improvements include: - A stronger focus on helping you master OOA/D through case studies that demonstrate key OO principles and patterns, while also applying the UML - New coverage of UML 2, Agile Modeling, Test-Driven Development, and refactoring - Many new tips on combining iterative and evolutionary development with OOA/D - Updates for easier study, including new learning aids and graphics - New college educator teaching resources - Guidance on applying the UP in a light, agile spirit, complementary with other iterative methods such as XP and Scrum - Techniques for applying the UML to documenting architectures - A new chapter on evolutionary requirements, and much more Applying UML and Patterns, Third Edition, is a lucid and practical introduction to thinking and designing with objects - and creating systems that are well crafted, robust, and maintainable.

Book

Electrical engineering dictionary R-Z

  • Auteur: Laplante P.A.
  • ISBN: -
  • Categorie: Livre
  • Maison Edition: CRC Press
  • Ville Edition: sl
  • Année Edition: 2000
  • Domaine: Sciences et technologies (GC, GE, AR...)

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Book

Electrical engineering dictionary L-Q

  • Auteur: Laplante P.A.
  • ISBN: -
  • Categorie: Livre
  • Maison Edition: CRC Press
  • Ville Edition: sl
  • Année Edition: 2000
  • Domaine: Sciences et technologies (GC, GE, AR...)

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Book

Electrical engineering dictionary A-K

  • Auteur: Laplante P.A.
  • ISBN: -
  • Categorie: Livre
  • Maison Edition: CRC Press
  • Ville Edition: sl
  • Année Edition: 2000
  • Domaine: Sciences et technologies (GC, GE, AR...)

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Book

Histoire De La Philosophie: Tome 2, La philosophie moderne

  • Auteur: Leroy André-Louis, Schuhl Pierre-Maxime, Bréhier Emile
  • ISBN:
  • Categorie: Livre
  • Maison Edition: PUF
  • Ville Edition: Paris
  • Année Edition: 2000, 1966
  • Domaine: Sciences de l'homme et de la société

I. Antiquité et Moyen Âge. -- II. XVIIe-XVIIIe siècles. -- III. XIXe-XXe siècles. Index général.

Book

Data Structures and Algorithms with Python: WithanIntroduction to Multiprocessing

  • Auteur: Kent D.Lee and Steve Hubbard
  • ISBN: 978-3-031-42209-6
  • Categorie: Livre
  • Maison Edition: Springer
  • Ville Edition: New York
  • Année Edition: 2024
  • Domaine: Intelligence Artificielle

This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms?supported by motivating examples?that bring meaning to the problems faced by computer programmers. The idea of computational complexity is introduced, demonstrating what can and cannot be computed efficiently at scale, helping programmers make informed judgements about the algorithms they use. The easy-to-read text assumes some basic experience in computer programming and familiarity in an object-oriented language, but not necessarily with Python. Topics and features: Includes introductory and advanced data structures and algorithms topics, with suggested chapter sequences for those respective courses Provides learning goals, review questions, and programming exercises in each chapter, as well as numerous examples Presents a primer on Python for those coming from a different language background Adds a new chapter on multiprocessing with Python using the DragonHPC multinode implementation of multiprocessing (includes a tutorial) Reviews the use of hashing in sets and maps, and examines binary search trees, tree traversals, and select graph algorithms Offers downloadable programs and supplementary files at an associated website to help students Students of computer science will find this clear and concise textbook invaluable for undergraduate courses on data structures and algorithms, at both introductory and advanced levels. The book is also suitable as a refresher guide for computer programmers starting new jobs working with Python.