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R 793.00
Beginning Programming All-in-One For Dummies
Let there be code! Beginning Programming All-in-One For Dummies offers one guide packed with 7 books to teach you programming across multiple languages. Coding can seem complex and convoluted, but Dummies makes it simple and easy to understand. You’ll learn all about the principles of programming, algorithms, data structures, debugging programs, unique applications of programming and more while learning about some of the most popular programming languages used today. Move confidently forward in your computer science coursework or straight into the workforce. You’ll come away with a rock-solid foundation in the programming basics, using data, coding for the web, and building killer apps. Learn the basics of coding, including writing and compiling code, using algorithms, and data structuresGet comfortable with the syntax of several different programming languagesWrap your mind around interesting programming opportunities such as conducting biological experiments within a computer or programming a video game engineDevelop cross-platform applications for desktop and mobile devicesThis essential guide takes the complexity and convolution out of programming for beginners and arms you with the knowledge you need to follow where the code takes you.
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Programmieren mit Ada
Die Programmiersprache Ada wurde mit dem Ziel entwickelt, auch bei gro en Programmsystemen das Schreiben zuverl{ssiger, transparenter, leicht ver{nderbarer und wiederverwendbarer Programme zu unterst}tzen. Dementsprechend werden in diesem Buch einerseits die Sprachelemente von Ada erkl{rt und andererseits auch gezeigt, wie man mit ihnen Programme schreiben kann. Dazu werden in kleinen vollst{ndigenAda-Programmbeispielen die Ada-Sprachelemente und ihre Anwendung exemplarisch vorgef}hrt. Gelegentlich eingestreute Tabellen und Schaubilder bieten einen ]berblick }ber das jeweilige Thema. Das Buch setzt beim Leser eine elementare Programmiererfahrung voraus, zum Beispiel in Assembler, BASIC, COBOL und FORTRAN. Nicht vorausgesetzt werden Erfahrungen mit blockstrukturierten Sprachen wie ALGOL 68, C, Modula-2, Pascal oder PL/1. Im vorliegenden ersten von zwei B{nden werden diejenigen Sprachelemente von Ada eingef}hrt und einge}bt, die auch in Standard-Pascal vorhanden sind. Der volle Sprachumfang wird mit dem Fortsetzungsband "Ada f}r Fortgeschrittene" erreicht, der sich gleicherma en f}r Pascal-Kenner ohne Ada-Kenntnisse eignet wie f}r Leser, die Ada aus diesem Band kennengelernt haben.
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Erfolgreich Programmieren mit Ada
Mit Hilfe dieses Buches lassen sich zuverlässige, wartbare und portable Programme entwickeln. Dabei unterstützen vollständige Programmbeispiele und Übungen mit Musterlösungen.
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Beginning Programming with Python For Dummies
Create simple, easy programs in the popular Python language Beginning Programming with Python For Dummies is the trusted way to learn the foundations of programming using the Python programming language. Python is one of the top-ranked languages, and there’s no better way to get started in computer programming than this friendly guide. You’ll learn the basics of coding and the process of creating simple, fun programs right away. This updated edition features new chapters, including coverage of Google Colab, plus expanded information on functions and objects, and new examples and graphics that are relevant to today’s beginning coders. Dummies helps you discover the wealth of things you can achieve with Python. Employ an online coding environment to avoid installation woes and code anywhere, any time Learn the basics of programming using the popular Python language Create easy, fun projects to show off your new coding chops Fix errors in your code and use Python with external data sets Beginning Programming with Python For Dummies will get new programmers started—the easy way.
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Python Workbook
Presents numerous exercises, many of which with complete solutionsSupports the solutions with additional notes that explain the technique used and highlight specific points of Python syntaxIncludes a mixture of classic computer science exercises and exercises that make connections to other disciplines
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Java for Programmers
The professional programmer's Deitel® guide to Java with integrated generative AI Written for programmers with a background in another high-level language, in Java for Programmers: with Generative AI, Fifth Edition, you'll learn modern Java development hands on using the latest Java idioms and features and genAIs. In the context of 200+ real-world code examples, you'll quickly master Java fundamentals then move on to arrays, strings, regular expressions, JSON/CSV processing with the Jackson library, private- and public-key cryptography, classes, inheritance, polymorphism, interfaces, dependency injection, exceptions, generic collections, custom generics, functional programming with lambdas and streams, JavaFX GUI, graphics and multimedia, platform threads, virtual threads, structured concurrency, scoped values, building API-based Java genAI apps, database with JDBC and SQLite, the Java Platform Module System and JShell for Python-like interactivity. Features: GenAI Prompt Engineering, API Calls, 600 GenAI ExercisesChatGPT, Gemini, Claude, PerplexityMultimodal: Text, Code, Images, Audio, Speech-to-Text, Text-to-Speech, VideoGenerics: Collections, Classes, MethodsFunctional Programming: Lambdas & StreamsJavaFX: GUI, Graphics, MultimediaConcurrency: Parallel Streams, Virtual Threads, Structured Concurrency, Scoped Values, Concurrent Collections, Multi-CoreDatabase: JDBC, SQL, SQLiteJava Platform Module System (JPMS)Objects Natural: Java API, String, BigInteger, BigDecimal, Date/Time, Cryptography, ArrayList, Regex, JSON, CSV, Web ServicesJShell for Python-Like Interactivity Want to stay in touch with the Deitels? Contact the authors at deitel@deitel.comJoin the Deitel social media communitiesdeitel.com/linkedinfacebook.com/DeitelFaninstagram.com/DeitelFanx.com/deitelyoutube.com/DeitelTVmastodon.social/@deitelFor source code and updates, visit: deitel.com/javafp5 Reviewer Comments"The future of Java programming is here, and this new edition of Deitel is leading the charge! By embracing genAI head-on, the authors are potentially revolutionizing programming education. Through its integrative approach to the use and study of genAI, this book is positioned to be the leading book in modern Java and its applications. Indeed, I expect that it should be widely adopted by instructors who want to ingrain in their students an appreciation for the critical role that Java will play in data science, machine learning, artificial intelligence, and cybersecurity. "The book's innovative and forward-thinking use of genAI facilitates reader engagement and inspires readers to think critically about the benefits and limitations of AI as a programming aid. Chapter 19 could become everyone's favorite new Java book chapter--the generative AI API-based code examples are interesting and fun. "All audiences of this book should read the Preface--there's so much to get excited about! It demonstrates, with refreshing transparency and honesty, how much love and care went into the r
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High Performance Python
Your Python code may run correctly, but what if you need it to run faster? This practical book shows you how to locate performance bottlenecks and significantly speed up your code in high-data-volume programs. By explaining the fundamental theory behind design choices, this expanded edition of High Performance Python helps experienced Python programmers gain a deeper understanding of Python's implementation.How do you take advantage of multicore architectures or compilation? Or build a system that scales up beyond RAM limits or with a GPU? Authors Micha Gorelick and Ian Ozsvald reveal concrete solutions to many issues and include war stories from companies that use high-performance Python for GenAI data extraction, productionized machine learning, and more.Get a better grasp of NumPy, Cython, and profilersLearn how Python abstracts the underlying computer architectureUse profiling to find bottlenecks in CPU time and memory usageWrite efficient programs by choosing appropriate data structuresSpeed up matrix and vector computationsProcess DataFrames quickly with Pandas, Dask, and PolarsSpeed up your neural networks and GPU computationsUse tools to compile Python down to machine codeManage multiple I/O and computational operations concurrentlyConvert multiprocessing code to run on local or remote clusters
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