Programming with Python for Engineers [electronic resource] / by Sinan Kalkan, Onur T. Şehitoğlu, Göktürk Üçoluk.

Por: Kalkan, Sinan [author.]Colaborador(es): Şehitoğlu, Onur T [author.] | Üçoluk, Göktürk [author.] | SpringerLink (Online service)Tipo de material: TextoTextoEditor: Cham : Springer Nature Switzerland : Imprint: Springer, 2024Edición: 1st ed. 2024Descripción: XX, 285 p. 187 illus., 185 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031571480Tema(s): Python (Computer program language) | Computer programming | Electrical engineering | Engineering mathematics | Engineering -- Data processing | Mechanical engineering | Civil engineering | Python | Programming Techniques | Electrical and Electronic Engineering | Mathematical and Computational Engineering Applications | Mechanical Engineering | Civil EngineeringFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 005.133 Clasificación LoC:QA76.73.P98Recursos en línea: Libro electrónicoTexto
Contenidos:
1.Computing and Computers -- 2.Programming and Programming Languages -- 3.Representation of Data -- 4.Dive into Python -- 5.Conditional and Repetitive Execution -- 6.Functions -- 7.A Gentle Introduction to Object-Oriented Programming -- 8.File Handling -- 9.Error Handling and Debugging -- 10.Scientific and Engineering Libraries -- 11.An Application:Approximation and Optimization -- 12.An Application:Solving a Simple Regression Problem -- Glossary -- Index.
En: Springer Nature eBookResumen: This book introduces computing and programming with undergraduate engineering students in mind. It uses Python (Version 3) as the programming language, chosen for its simplicity, readability, wide applicability and large collection of libraries. After introducing engineering-related Python libraries, such as NumPy, Pandas, Matplotlib, Sci-kit, Programming with Python for Engineers shows how Python can be used to implement methods common in a wide spectrum of engineering-related problems drawn from (for example): design, control, decision-making, scheduling and planning. Important features of the book include the following:· The book contains interactive content for illustration of important concepts, where the user can provide input and by clicking buttons, trace through the steps. Each chapter is also accessible as a Jupyter Notebook page and every code piece is executable. This allows the readers to run code examples in chapters immediately, to make changes and gain a better grasp of the concepts presented.· The coverage of topics is complemented by illustrative examples and exercises. For instructors adopting the textbook, a solutions manual is provided.
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1.Computing and Computers -- 2.Programming and Programming Languages -- 3.Representation of Data -- 4.Dive into Python -- 5.Conditional and Repetitive Execution -- 6.Functions -- 7.A Gentle Introduction to Object-Oriented Programming -- 8.File Handling -- 9.Error Handling and Debugging -- 10.Scientific and Engineering Libraries -- 11.An Application:Approximation and Optimization -- 12.An Application:Solving a Simple Regression Problem -- Glossary -- Index.

This book introduces computing and programming with undergraduate engineering students in mind. It uses Python (Version 3) as the programming language, chosen for its simplicity, readability, wide applicability and large collection of libraries. After introducing engineering-related Python libraries, such as NumPy, Pandas, Matplotlib, Sci-kit, Programming with Python for Engineers shows how Python can be used to implement methods common in a wide spectrum of engineering-related problems drawn from (for example): design, control, decision-making, scheduling and planning. Important features of the book include the following:· The book contains interactive content for illustration of important concepts, where the user can provide input and by clicking buttons, trace through the steps. Each chapter is also accessible as a Jupyter Notebook page and every code piece is executable. This allows the readers to run code examples in chapters immediately, to make changes and gain a better grasp of the concepts presented.· The coverage of topics is complemented by illustrative examples and exercises. For instructors adopting the textbook, a solutions manual is provided.

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