Programming with Python for Engineers
Springer International Publishing (Verlag)
978-3-031-57147-3 (ISBN)
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 at https://sites.google.com/springernature.com/extramaterial/lecturer-material.
Göktürk Üçoluk received his B.Sc. and M.Sc. degrees in Physics from Bosphorus University, Istanbul, Turkey, and his Ph.D. degree from Middle East Technical University (METU), Ankara, Turkey, in 1980, 1982, and 1989, respectively. He is the developer of several symbolic computation software, among which are the first freeware Standard Lisp interpreter and the cross compiler. He is currently a full professor at the Department of Computer Engineering at METU. His recent interests are in evolutionary computing, modeling and simulation. His other research interests include symbolic algebraic computing, language processors, and natural language processing. Along with lectures in his subject field, he also taught over 20 years the freshman CS courses.
Sinan Kalkan is a professor at the Department of Computer Engineering at Middle East Technical University (METU), Turkey. He received his M.Sc. degree in Computer Eng. from METU, and his Ph.D. degree in Informatics from the Uni. of Göttingen, Germany. After working as a postdoctoral researcher at the Uni. of Göttingen and at METU, he joined METU Dept. of Computer Engineering in 2010 as a faculty member and since then, has been working on several computer vision and robotics problems. His research was supported by the BAGEP Award of the Science Academy, Turkey in 2020. His work on context modeling received the 2019 Outstanding Paper Award from IEEE Transactions on Cognitive and Developmental Systems. He has co-organized several conferences and workshops on computer vision and robotics. With Dr. Üçoluk, he has written a book on Introduction to programming concepts with case studies in Python, published by Springer in 2012. He serves as a member for the IEEE Journal on Robotics and Automation Letters journals, METU Image Processing Center and TÜBITAK (The Scientific and Technological Research Council of Turkey).
Onur Tolga Sehitoglu is an instructor at the Department of Computer Engineering at Middle East Technical University (METU), Turkey. He received his M.Sc. and Ph.D. degrees in Computer Engineering from METU. He joined METU Computer Engineering in 2002 as instructor and since then he has been working on evolutionary algorithms, automated design, computer and network security fields. In addition to various other CS courses, he has taught courses on programming and programming language concepts for 20 years.
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.
| Erscheinungsdatum | 20.08.2024 |
|---|---|
| Zusatzinfo | XX, 285 p. 187 illus., 185 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 178 x 254 mm |
| Themenwelt | Informatik ► Programmiersprachen / -werkzeuge ► Python |
| Schlagworte | Engineering Case Studies • introduction to computing • Introduction to programming • Programming for Engineers • Python for Engineers • python textbook |
| ISBN-10 | 3-031-57147-9 / 3031571479 |
| ISBN-13 | 978-3-031-57147-3 / 9783031571473 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
aus dem Bereich
