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R 324.00
Beginning Programming with C++ For Dummies
Learn to program with C++ quickly with this helpful For Dummies guide Beginning Programming with C++ For Dummies, 2nd Edition gives you plain-English explanations of the fundamental principles of C++, arming you with the skills and know-how to expertly use one of the world's most popular programming languages. You'll explore what goes into creating a program, how to put the pieces together, learn how to deal with standard programming challenges, and much more. Written by the bestselling author of C++ For Dummies, this updated guide explores the basic development concepts and techniques of C++ from a beginner's point of view, and helps make sense of the how and why of C++ programming from the ground up. Beginning with an introduction to how programming languages function, the book goes on to explore how to work with integer expressions and character expressions, keep errors out of your code, use loops and functions, divide your code into modules, and become a functional programmer. Grasp C++ programming like a pro, even if you've never written a line of codeMaster basic development concepts and techniques in C++Get rid of bugs and write programs that workFind all the code from the book and an updated C++ compiler on the companion website If you're a student or first-time programmer looking to master this object-oriented programming language, Beginning Programming with C++ For Dummies, 2nd Edition has you covered.
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Introduction to Programming in Java
Programming skills are indispensable in today’s world, not just for computer science students, but also for anyone in any scientific or technical discipline. An Introduction to Programming in Java, Second Edition, by Robert Sedgewick and Kevin Wayne is an accessible, interdisciplinary treatment that emphasizes important and engaging applications, not toy problems. The authors supply the tools needed for students and professionals to learn that programming is a natural, satisfying, and creative experience, and to become conversant with one of the world’s most widely used languages. This example-driven guide focuses on Java’s most useful features and brings programming to life for every student in the sciences, engineering, and computer science. Coverage includes Basic elements of programming: variables, assignment statements, built-in data types, conditionals, loops, arrays, and I/O, including graphics and soundFunctions, modules, and libraries: organizing programs into components that can be independently debugged, maintained, and reusedAlgorithms and data structures: sort/search algorithms, stacks, queues, and symbol tablesApplications from applied math, physics, chemistry, biology, and computer science Drawing on their extensive classroom experience, the authors provide Q&As, exercises, and opportunities for creative engagement with the material throughout. Together with the companion materials, this book empowers people pursue a modern approach to teaching and learning programming. Companion web site contains Chapter summariesSupplementary exercises, some with solutionsDetailed instructions for installing a Java programming environmentProgram code and test data suitable for easy downloadDetailed creative exercises, projects, and other supplementary mat And companion studio-produced online videos provide students and professionals with the opportunity to engage with the material at their own pace and instructors the opportunity to spend their time with students helping them to succeed on assignments and exams.
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Julia 1.0 Programming
Enter the exciting world of Julia, a high-performance language for technical computingKey FeaturesLeverage Julia's high speed and efficiency for your applicationsWork with Julia in a multi-core, distributed, and networked environmentApply Julia to tackle problems concurrently and in a distributed environmentBook DescriptionThe release of Julia 1.0 is now ready to change the technical world by combining the high productivity and ease of use of Python and R with the lightning-fast speed of C++. Julia 1.0 programming gives you a head start in tackling your numerical and data problems. You will begin by learning how to set up a running Julia platform, before exploring its various built-in types. With the help of practical examples, this book walks you through two important collection types: arrays and matrices. In addition to this, you will be taken through how type conversions and promotions work. In the course of the book, you will be introduced to the homo-iconicity and metaprogramming concepts in Julia. You will understand how Julia provides different ways to interact with an operating system, as well as other languages, and then you'll discover what macros are. Once you have grasped the basics, you’ll study what makes Julia suitable for numerical and scientific computing, and learn about the features provided by Julia. By the end of this book, you will also have learned how to run external programs. This book covers all you need to know about Julia in order to leverage its high speed and efficiency for your applications.What you will learnSet up your Julia environment to achieve high productivityCreate your own types to extend the built-in type systemVisualize your data in Julia with plotting packagesExplore the use of built-in macros for testing and debugging, among other usesApply Julia to tackle problems concurrentlyIntegrate Julia with other languages such as C, Python, and MATLABWho this book is forJulia 1.0 Programming is for you if you are a statistician or data scientist who wants a crash course in the Julia programming language while building big data applications. A basic knowledge of mathematics is needed to understand the various methods that are used or created during the course of the book to exploit the capabilities that Julia is designed with.
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Python Programming
Maintaining a practical perspective, Python Programming: A Practical Approach acquaints you with the wonderful world of programming. The book is a starting point for those who want to learn Python programming. The backbone of any programming, which is the data structure and components such as strings, lists, etc., have been illustrated with many examples and enough practice problems to instill a level of self-confidence in the reader.Drawing on knowledge gained directly from teaching Computer Science as a subject and working on a wide range of projects related to ML, AI, deep learning, and blockchain, the authors have tried their best to present the necessary skills for a Python programmer. Once the foundation of Python programming is built and the readers are aware of the exact structure, dimensions, processing, building blocks, and representation of data, they can readily take up their specific problems from the area of interest and solve them with the help of Python. These include, but are not limited to, operators, control flow, strings, functions, module processing, object-oriented programming, exception and file handling, multithreading, synchronization, regular expressions, and Python database programming.This book on Python programming is specially designed to keep readers busy with learning fundamentals and generates a sense of confidence by attempting the assignment problems. We firmly believe that explaining any particular technology deviates from learning the fundamentals of a programming language. This book is focused on helping readers attempt implementation in their areas of interest through the skills imparted through this book. We have attempted to present the real essence of Python programming, which you can confidently apply in real life by using Python as a tool.Salient Features Based on real-world requirements and solution. Simple presentation without avoiding necessary details of the topic. Executable programs on almost every topic. Plenty of exercise questions, designed to test readers’ skills and understanding.Purposefully designed to be instantly applicable, Python Programming: A Practical Approach provides implementation examples so that the described subject matter can be immediately implemented due to the well-known versatility of Python in handling different data types with ease.
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Introduction to Programming for Researchers
Enhance your computational and programming skills using Bash and Python to improve productivity and efficiency in research projects. This book is an essential guide for STEM researchers. Structured into several parts, each builds on the previous ones to ensure a solid foundation in programming. You'll begin with the basics of digital computation and operating systems, then write pipelines and scripts in Bash, focusing on tools for working with datasets in text files. After introducing algorithms and floating-point numbers, the book transitions to Python, emphasizing SciPy libraries and built-in features like type hints and f-strings. IPython and Jupyter notebooks are integrated into the lessons throughout. Programming best practices are taught, alongside programming basics. These include documentation and unit testing. As the target audience is STEM students and professionals, examples make heavy use of datasets and the SciPy software stack, especially NumPy, Matplotlib, Pandas, and SymPy. Introduction to Programming for Researchers will foster a deeper understanding of computational tools and critical programming skills, empowering you to tackle complex datasets and enhance their research capabilities. What You Will Learn Apply programming skills to enhance research productivity and efficiency. Write Bash pipelines and executable scripts. Implement basic algorithms in Python, focusing on time efficiency and structured programming. Who This Book Is For Experienced researchers looking to improve their computational skills; students in the natural sciences and engineering; scientists and engineers from various fields, seeking to integrate programming skills into their research methodologies.
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Scheme Programming Language
A thoroughly updated and expanded edition brings this popular introductory text and reference up to date with the current Scheme standard, the Revised6 Report on Scheme. Scheme is a general-purpose programming language, descended from Algol and Lisp, widely used in computing education and research and a broad range of industrial applications. This thoroughly updated edition of The Scheme Programming Language provides an introduction to Scheme and a definitive reference for standard Scheme, presented in a clear and concise manner. Written for professionals and students with some prior programming experience, it begins by leading the programmer gently through the basics of Scheme and continues with an introduction to some of the more advanced features of the language. The fourth edition has been substantially revised and expanded to bring the content up to date with the current Scheme standard, the Revised6 Report on Scheme. All parts of the book were updated and three new chapters were added, covering the language's new library, exception handling, and record-definition features. The book offers three chapters of introductory material with numerous examples, eight chapters of reference material, and one chapter of extended examples and additional exercises. All of the examples can be entered directly from the keyboard into an interactive Scheme session. Answers to many of the exercises, a complete formal syntax of Scheme, and a summary of forms and procedures are provided in appendixes. The Scheme Programming Language is the only book available that serves both as an introductory text in a variety of courses and as an essential reference for Scheme programmers.
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Programmiersprache Dist
Keine ausf�hrliche Beschreibung f�r "Programmiersprache DIST" verf�gbar.
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Concurrent and Real-Time Programming in Ada
Ada is the only ISO-standard, object-oriented, concurrent, real-time programming language. It is intended for use in large, long-lived applications where reliability and efficiency are essential, particularly real-time and embedded systems. In this book, Alan Burns and Andy Wellings give a thorough, self-contained account of how the Ada tasking model can be used to construct a wide range of concurrent and real-time systems. This is the only book that focuses on an in-depth discussion of the Ada tasking model. Following on from the authors' earlier title Concurrency in Ada, this book brings the discussion up to date to include the new Ada 2005 language and the recent advances in real-time programming techniques. It will be of value to software professionals and advanced students of programming alike: indeed every Ada programmer will find it essential reading and a primary reference work that will sit alongside the language reference manual.
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Mastering Pascal and Delphi Programming
This work provides an introduction to programming with Pascal and extends this to show how Borland Delphi is used to develop Microsoft Windows programs. It provides real life applications and splits into three main sections: Pascal programming, Pascal applications, and Delphi programming. Practical applications include: software interrupts, hardware interrupts, graphics, date and time, system commands, RS 232 and parallel ports. This work is intended for GNVQ, A Level, further and adult education, first year undergraduate students, and for professionals and computing enthusiasts.
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R 519.00
Programmieren Mit Turbo-Pascal
Keine ausführliche Beschreibung für "Programmieren mit Turbo-Pascal" verfügbar.
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R 916.00
Programming in C++
Programming in C++, Third Edition offers a focused, syntax intensive introduction to programming. Concise and straightforward, Programming in C++ is adapted from Programming and Problem Solving with C++, Fourth Edition, and retains the essential content of its parent book. The text provides students with a clear, accessible introduction to C++, object-oriented programming, and the fundamentals of software development. The authors have completely revamped the chapter goals and programming examples throughout, and the book includes a full set of new programming exercises in each chapter. Programming in C++, Third Edition is the ideal text for programming courses with an emphasis on science and engineering, as well as those seeking to cover all the fundamentals of programming in one semester.
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C Programming
Unlike many C programming books written by C programmers, this brief, self-teaching introduction was written by an instructor familiar with the needs of students. The book defines key programming terms as it teaches the basics of C programming. It contains numerous real world programming examples showing first the algorithm, immediately followed by the program for the algorithm, and then its output. End of chapter exercises with ""hints"" help to review and master the material under discussion. An appendix with fifteen ""C Lab projects"" with their solutions is also included.Features:Defines key programming terms as it teaches the C programming languageCovers major topics such as arrays and pointers, structures and unions, file handling, and moreIncludes numerous real world programming examples showing first the algorithm, followed by the program itself, then the desired output
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