Führer Claus (63 results)

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Paperback. Condition: New. Leverage this example-packed, comprehensive guide for all your Python computational needsKey FeaturesLearn the first steps within Python to highly specialized conceptsExplore examples and code snippets taken from typical programming situations within scientific computing.Delve into essential computer science concepts like iterating, object-oriented programming, testing, and MPI presented in strong connection to applications within scientific computing.Book DescriptionPython has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python.This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations.By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing.What you will learnUnderstand the building blocks of computational mathematics, linear algebra, and related Python objectsUse Matplotlib to create high-quality figures and graphics to draw and visualize resultsApply object-oriented programming (OOP) to scientific computing in PythonDiscover how to use pandas to enter the world of data processingHandle exceptions for writing reliable and usable codeCover manual and automatic aspects of testing for scientific programmingGet to grips with parallel computing to increase computation speedWho this book is forThis book is for students with a mathematical background, university teachers designing modern courses in programming, data scientists, researchers, developers, and anyone who wants to perform scientific computation in Python.

gebundene Ausgabe. Condition: Gut. 290 Seiten; Das Buch befindet sich in einem ordentlich erhaltenen Zustand. In ENGLISCHER Sprache. Sprache: Englisch Gewicht in Gramm: 620.

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Softcover. Condition: Sehr gut. 3. Auflage. 448 Seiten Das Buch befindet sich in einem gebrauchten, noch sehr guten Zustand. Es ist gebraucht und hat nur geringe Gebrauchsspuren, wie Verfärbung der Schnittkanten, leichter Abrieb an den Kanten vom Einband. Im Buch, bis auf alte Preisangabe oder ein Namenseintrag, keine Einträge oder Beschriftungen. Nichtraucherbuch. Rik010233 Sprache: Deutsch Gewicht in Gramm: 800.

Digital. Condition: New. An example-rich, comprehensive guide for all of your Python computational needsAbout This Book. Your ultimate resource for getting up and running with Python numerical computations. Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules. A hands-on guide to implementing mathematics with Python, with complete coverage of all the key conceptsWho This Book Is ForThis book is for anyone who wants to perform numerical and mathematical computations in Python. It is especially useful for developers, students, and anyone who wants to use Python for computation. Readers are expected to possess basic a knowledge of scientific computing and mathematics, but no prior experience with Python is needed.What You Will Learn. The principal syntactical elements of Python. The most important and basic types in Python. The essential building blocks of computational mathematics, linear algebra, and related Python objects. Plot in Python using matplotlib to create high quality figures and graphics to draw and visualize your results. Define and use functions and learn to treat them as objects. How and when to correctly apply object-oriented programming for scientific computing in Python. Handle exceptions, which are an important part of writing reliable and usable code. Two aspects of testing for scientific programming: Manual and AutomaticIn DetailPython can be used for more than just general-purpose programming. It is a free, open source language and environment that has tremendous potential for use within the domain of scientific computing. This book presents Python in tight connection with mathematical applications and demonstrates how to use various concepts in Python for computing purposes, including examples with the latest version of Python 3. Python is an effective tool to use when coupling scientific computing and mathematics and this book will teach you how to use it for linear algebra, arrays, plotting, iterating, functions, polynomials, and much more.Style and approachThis book takes a concept-based approach to the language rather than a systematic introduction. It is a complete Python tutorial and introduces computing principles, using practical examples to and showing you how to correctly implement them in Python. You'll learn to focus on high-level design as well as the intricate details of Python syntax. Rather than providing canned problems to be solved, the exercises have been designed to inspire you to think about your own code and give you real-world insight.

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OBroschur / Okarton. Drei Bücher. 1). Grundlagen der Tragwerklehre. Mit 259 Abbildungen und 19 Tabellen. 313, 16S. 1980. Zustand: der erste Bogen ist doppelt eingebunden , am Ende des Buches. Der Einband ist deutlcih fleckig, die Rücken Kanten sind berieben bzw. mit Klebestreifen überklebt. ; 2). Grundlagen der Tragwerklehre 2. Mit einem Beitrag von Wilfried Führer. Mit 678 Abbildungen und 5 Tabellen. 1985. 295S. (ISBN: 348114931X). Buchschnitt mit Feuchtigkeitsfleck. ; 3). Tabellen zur Tragwerklehre. 1980. 132S. Zustand: Einbandkanten leicht berieben, ein Bogen unscharf gedruckt, die Seiten liegen als Kopien lose bei.;; Die Bücher :Grundlagen der Tragwerklehre und Tabellen zur Tragwerklehre sind Skript-Drucke der RWTH Aachen, mäßige Qualität. Size: 8°.

Condition: New. Python is an efficient tool for coupling scientific computing and mathematics. This book teaches you how to use it for linear algebra, arrays, plotting, iterating, functions, and polynomials. You ll explore task automation and understand essential math conc.

Condition: New. &Uumlber den AutorrnrnClaus Fuehrer is a professor of scientific computations at Lund University, Sweden. He has an extensive teaching record that includes intensive programming courses in numerical analysis and engineering mathematics across va.

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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Numerical Analysis is an interdisciplinary topic which develops its strength only when viewed in close connection with applications. Nowadays, mechanical engineers having computer simulation as a daily engineering tool have to learn more and more techniques from that field. Mathematicians, on the other hand, are increasingly confronted with the need for developing special purpose methods and codes. This requires a broad interdisciplinary understanding and a sense for model-method interactions. With this monograph we give an introduction to selected topics of Numerical Anal ysis based on these facts. We dedicate our presentations to an interesting discipline in computational engineering: multibody dynamics. Though the basic ideas and methods apply to other engineering fields too, we emphasize on having one homo geneous class of applications. Both authors worked through many years in teams developing multibody codes. Interdisciplinary work also includes transferring ideas from one field to the other and a big amount of teaching -and that was the idea of this book. This book is intended for students of mathematics, engineering and computer sci ence, as well as for people already concerned with the solution of related topics in university and industry. After a short introduction to multibody systems and the mathematical formulation of the equations of motion, different numerical methods used to solve simulation tasks are presented. The presentation is supported by a simple model of a truck. This truck model will follow the reader from the title page to the appendix in various versions, specially adapted to the topics.

gebundene Ausgabe. Condition: Gut. 9., völlig neubearb. und erw. Aufl. 784 S. : graph. Darst. ; Das hier angebotene Buch stammt aus einer teilaufgelösten Bibliothek und kann die entsprechenden Kennzeichnungen aufweisen (Rückenschild, Instituts-Stempel.); der Buchzustand ist ansonsten ordentlich und dem Alter entsprechend gut. Sprache: Deutsch Gewicht in Gramm: 1870.

Paperback. Condition: Brand New. 224 pages. 9.61x7.40x0.71 inches. In Stock.

Paperback. Condition: New. Leverage this example-packed, comprehensive guide for all your Python computational needsKey FeaturesLearn the first steps within Python to highly specialized conceptsExplore examples and code snippets taken from typical programming situations within scientific computing.Delve into essential computer science concepts like iterating, object-oriented programming, testing, and MPI presented in strong connection to applications within scientific computing.Book DescriptionPython has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python.This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations.By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing.What you will learnUnderstand the building blocks of computational mathematics, linear algebra, and related Python objectsUse Matplotlib to create high-quality figures and graphics to draw and visualize resultsApply object-oriented programming (OOP) to scientific computing in PythonDiscover how to use pandas to enter the world of data processingHandle exceptions for writing reliable and usable codeCover manual and automatic aspects of testing for scientific programmingGet to grips with parallel computing to increase computation speedWho this book is forThis book is for students with a mathematical background, university teachers designing modern courses in programming, data scientists, researchers, developers, and anyone who wants to perform scientific computation in Python.

Kartoniert / Broschiert. Condition: New.

Digital. Condition: New. An example-rich, comprehensive guide for all of your Python computational needsAbout This Book. Your ultimate resource for getting up and running with Python numerical computations. Explore numerical computing and mathematical libraries using Python 3.x code with SciPy and NumPy modules. A hands-on guide to implementing mathematics with Python, with complete coverage of all the key conceptsWho This Book Is ForThis book is for anyone who wants to perform numerical and mathematical computations in Python. It is especially useful for developers, students, and anyone who wants to use Python for computation. Readers are expected to possess basic a knowledge of scientific computing and mathematics, but no prior experience with Python is needed.What You Will Learn. The principal syntactical elements of Python. The most important and basic types in Python. The essential building blocks of computational mathematics, linear algebra, and related Python objects. Plot in Python using matplotlib to create high quality figures and graphics to draw and visualize your results. Define and use functions and learn to treat them as objects. How and when to correctly apply object-oriented programming for scientific computing in Python. Handle exceptions, which are an important part of writing reliable and usable code. Two aspects of testing for scientific programming: Manual and AutomaticIn DetailPython can be used for more than just general-purpose programming. It is a free, open source language and environment that has tremendous potential for use within the domain of scientific computing. This book presents Python in tight connection with mathematical applications and demonstrates how to use various concepts in Python for computing purposes, including examples with the latest version of Python 3. Python is an effective tool to use when coupling scientific computing and mathematics and this book will teach you how to use it for linear algebra, arrays, plotting, iterating, functions, polynomials, and much more.Style and approachThis book takes a concept-based approach to the language rather than a systematic introduction. It is a complete Python tutorial and introduces computing principles, using practical examples to and showing you how to correctly implement them in Python. You'll learn to focus on high-level design as well as the intricate details of Python syntax. Rather than providing canned problems to be solved, the exercises have been designed to inspire you to think about your own code and give you real-world insight.

Condition: Gut. Zustand: Gut | Seiten: 290 | Sprache: Deutsch | Produktart: Bücher | Keine Beschreibung verfügbar.