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020 _a9783031571480
_9978-3-031-57148-0
024 7 _a10.1007/978-3-031-57148-0
_2doi
050 4 _aQA76.73.P98
072 7 _aUMX
_2bicssc
072 7 _aCOM051360
_2bisacsh
072 7 _aUMX
_2thema
100 1 _aKalkan, Sinan.
_eauthor.
_0(orcid)0000-0003-0915-5917
_1https://orcid.org/0000-0003-0915-5917
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_982490
245 1 0 _aProgramming with Python for Engineers
_h[electronic resource] /
_cby Sinan Kalkan, Onur T. Şehitoğlu, Göktürk Üçoluk.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXX, 285 p. 187 illus., 185 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _a1.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.
520 _aThis 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.
650 0 _aPython (Computer program language).
_964608
650 0 _aComputer programming.
650 0 _aElectrical engineering.
_965586
650 0 _aEngineering mathematics.
_964145
650 0 _aEngineering
_xData processing.
650 0 _aMechanical engineering.
_958323
650 0 _aCivil engineering.
650 1 4 _aPython.
_947553
650 2 4 _aProgramming Techniques.
_965517
650 2 4 _aElectrical and Electronic Engineering.
_965588
650 2 4 _aMathematical and Computational Engineering Applications.
650 2 4 _aMechanical Engineering.
_958323
650 2 4 _aCivil Engineering.
700 1 _aŞehitoğlu, Onur T.
_eauthor.
_0(orcid)0000-0001-5146-5017
_1https://orcid.org/0000-0001-5146-5017
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_982491
700 1 _aÜçoluk, Göktürk.
_eauthor.
_0(orcid)0000-0002-1479-6113
_1https://orcid.org/0000-0002-1479-6113
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_982492
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783031571473
776 0 8 _iPrinted edition:
_z9783031571497
776 0 8 _iPrinted edition:
_z9783031571503
856 4 0 _uhttps://doi.org/10.1007/978-3-031-57148-0
912 _aZDB-2-ENG
912 _aZDB-2-SXE
999 _c62542
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