04225nam a22006255i 4500 978-3-031-57148-0 DE-He213 20251030112858.0 cr nn 008mamaa 240819s2024 sz | s |||| 0|eng d 9783031571480 978-3-031-57148-0 10.1007/978-3-031-57148-0 doi QA76.73.P98 UMX bicssc COM051360 bisacsh UMX thema Kalkan, Sinan. author. (orcid)0000-0003-0915-5917 https://orcid.org/0000-0003-0915-5917 aut http://id.loc.gov/vocabulary/relators/aut 82490 Programming with Python for Engineers [electronic resource] / by Sinan Kalkan, Onur T. Şehitoğlu, Göktürk Üçoluk. 1st ed. 2024. Cham : Springer Nature Switzerland : Imprint: Springer, 2024. XX, 285 p. 187 illus., 185 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda 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. Python (Computer program language). 64608 Computer programming. Electrical engineering. 65586 Engineering mathematics. 64145 Engineering Data processing. Mechanical engineering. 58323 Civil engineering. Python. 47553 Programming Techniques. 65517 Electrical and Electronic Engineering. 65588 Mathematical and Computational Engineering Applications. Mechanical Engineering. 58323 Civil Engineering. Şehitoğlu, Onur T. author. (orcid)0000-0001-5146-5017 https://orcid.org/0000-0001-5146-5017 aut http://id.loc.gov/vocabulary/relators/aut 82491 Üçoluk, Göktürk. author. (orcid)0000-0002-1479-6113 https://orcid.org/0000-0002-1479-6113 aut http://id.loc.gov/vocabulary/relators/aut 82492 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031571473 Printed edition: 9783031571497 Printed edition: 9783031571503 https://doi.org/10.1007/978-3-031-57148-0 ZDB-2-ENG ZDB-2-SXE 62542 62542