Introduction to Computing Using Python

An Application Development Focus

Häftad, Engelska, 2015

1 278 kr

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Beskrivning

Perkovic's Introduction to Computing Using Python: An Application Development Focus, 2nd Edition is more than just an introduction to programming. It is an inclusive introduction to Computer Science that takes the pedagogical approach of "the right tool for the job at the right moment," and focuses on application development. The approach is hands-on and problem-oriented, with practice problems and solutions appearing throughout the text. The text is imperative-first, but does not shy away from discussing objects early where appropriate. Discussions of user-defined classes and Object-Oriented Programming appear later in the text, when students have more background and concepts can be motivated. Chapters include an introduction to problem solving techniques and classical algorithms, problem-solving and programming and ways to apply core skills to application development. This edition also includes examples and practice problems provided within a greater variety of domains. It also includes case studies integrated into additional chapters, providing students with real life applications using the concepts and tools covered in the chapters.

Produktinformation

Utgivningsdatum:2015-08-07
Mått:201 x 252 x 23 mm
Vikt:816 g
Format:Häftad
Språk:Engelska
Antal sidor:480
Upplaga:2
Förlag:John Wiley & Sons Inc
ISBN:9781118890943

Utforska kategorier

Systemvetenskap och AI inom Data och IT

Mer om författaren

Ljubomir Perkovic joined the CDM School of Computing faculty in September of 2000, after two years on the faculty of the Mathematics and Computer Science department at Drexel University in Philadelphia. Dr. Perkovic obtained his Ph.D. in Algorithms, Combinatorics and Optimization at the School of Computer Science at Carnegie Mellon University, and he holds a B.A. degree in Mathematics and Computer Science from Hunter College of the City University of New York. His research interests include distributed and wireless computing, computational geometry, graph theory and algorithms, probabilistic analysis of algorithms, and computational thinking. He is Co-PI on an NSF funded project to expand Computational Thinking across the Liberal Studies curriculum. He is also the coach of the DePaul Programming teams.

Innehållsförteckning

Chapter 1. Introduction to Computer ScienceChapter 2. Python Data TypesChapter 3. Imperative ProgrammingChapter 4. Text data, Files, and ExceptionsChapter 5. Execution Control StructuresChapter 6. Containers and RandomnessChapter 7. NamespacesChapter 8. Object-Oriented ProgrammingChapter 9. Graphical User InterfacesChapter 10. RecursionChapter 11. The Web and SearchChapter 12. Databases and Data Processing