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C How to Program: With Case Studies Introducing Applications Programming and Systems Programming 9th Edition: With Case Studies in Applications and Systems Programming

C How to Program: With Case Studies Introducing Applications Programming and Systems Programming 9th Edition: With Case Studies in Applications and Systems Programming

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  • Author: Paul Deitel , Harvey Deitel
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Product Description

Deitel and Deitel’s C How to Program presents a complete, user-friendly, code-intensive introduction to C programming. Programmers at every level of expertise can find something of value in this book: novices benefit from the ample coverage of fundamentals and the emphasis on problem solving and algorithm development; the focus on performance issues prepares intermediate programmers for professional software-development challenges and practices; and the inclusion of advanced topics is ideal for use in higher-level courses or for further self-study. The book’s modular presentation allows instructors to easily adapt the content to a variety of courses, ranging from introductory college programming courses to professional industry training courses. The ninth edition includes 147 fully working programs, keeping in line with the Deitels’ signature livecode approach. Access to these complete programs gives students the opportunity to apply their learning to meaningful real-world scenarios. The content adheres to the C11/C18 standards to keep pace with expanded C capabilities. It also incorporates popular open-source software like Docker and resources like GitHub and StackOverflow to encourage students to think like developers. Features – Over 350 integrated Self Check exercises, with answers, support the Deitels’ new “Intro to” pedagogy, allowing students to “read a little, do a little, test a little.” Case studies and exercises incorporated throughout the text use real-world data and are guided by the latest ACM/IEEE computing curricula recommendations, highlighting security, data science, ethics, privacy, and performance concepts. New! Enhanced case studies focus on data science and visualization with gnuplot. Data science topics include random-number generation, survey data analysis, natural language processing, and artificial intelligence. New! A dedicated chapter (Chapter 13) now presents expanded coverage of sorting algorithms and analysis of algorithms with Big O. New! Appendix D presents a user-friendly overview of object-oriented programming fundamentals to help introduce students to different programming paradigms. Read more

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