Programspråk

Artificiell intelligens (AI) är ett högaktuellt ämne som används inom många områden och av olika aktörer såsom företag, organisationer och privatpersoner. I denna bok får läsaren lära sig grunderna inom maskininlärning (ML) och även djupinlärning (DL) som är ett delområde inom ML. Boken är skriven som en praktisk introduktion, vilket innebär att pedagogiska förklaringar och annoterade kodexempel genomsyrar hela boken. Den är avsedd för kurser av olika slag inom till exempel yrkeshögskolan, andra läroinstitut eller företag och organisationer. Boken passar även utmärkt för självstudier. Förkunskapskrav för att läsa boken är endast grundläggande kunskaper i Python. Även de som saknar erfarenhet av Python kan läsa boken då en gratis grundkurs finns tillgänglig på bokens hemsida: https://github.com/AntonioPrgomet/ai_tillaempad_ml Inga förkunskaper inom AI eller ML förutsätts. ”Lär dig AI från grunden – Tillämpad maskininlärning med Python” ger en praktisk väg in i ämnet och tar dig steg för steg från grundläggande koncept till mer avancerade tillämpningar.

Computer algebra systems have revolutionized the use of computers within mathematics research, and are currently extending that revolution to the undergraduate mathematics curriculum. But the power of such systems goes beyond simple algebraic or numerical manipulation. This book shows how computer-aided mathematics has reached a level where it can support effectively many of the computations in science and engineering. In addition to treating traditional computer science topics, an introductory course should show scientists and engineers how these computer-based tools can be used to do scientific computations. A valuable text for computer science courses for scientists and engineers, this book should also prove useful to Mathematica users at all levels. Covering the latest release of Mathematica, the book includes useful tips and techniques to help even seasoned users.

The Rust Programming Language, 3rd Edition is the official guide to Rust 2024 and the latest iteration of one of the bestselling Rust books of all time. Rust provides control of low-level details along with high-level ergonomics, allowing you to improve productivity and eliminate the hassle traditionally associated with low-level languages. From web apps to operating systems, Rust is a safe, fast, reliable language used for a wide variety of applications.

If you've ever spent hours renaming files or updating hundreds of spreadsheet cells, you know how tedious tasks like these can be. But what if you could have your computer do them for you? In this fully revised edition of the best-selling classic Automate the Boring Stuff with Python, you'll learn how to use Python to write programs that do in minutes what would take you hours to do by hand - no prior programming experience required. You'll learn the basics of coding in Python and explore the language's rich library of modules for performing specific tasks, like scraping data from websites, searching for text across multiple files, and merging, watermarking, or encrypting PDFs. The third edition includes: Expanded coverage of developer techniques, like creating command line programs; Updated examples and new projects; Additional chapters about working with SQLite databases, speech-recognition technology, video and audio editing, and text-to-speech capabilities; Simplified explanations (based on reader feedback) of beginner programming concepts, like loops and conditionals. Even if you've never written a line of code, Automate the Boring Stuff with Python, 3rd Edition will teach you how to make your computer take on tedious tasks and do all your grunt work - the way it should be!

An easy-to-follow guide for beginners and intermediate programmers to master modern C# and .NET development through hands-on examples using Visual Studio 2026 and VS Code.Free with your book: DRM-free PDF version + access to Packt's next-gen ReaderKey FeaturesExplore the newest additions to the C# language, the .NET class libraries, and data modeling with Entity Framework CoreBuild professional modern websites and services with ASP.NET Core, Blazor, and Minimal API servicesEnhance your skills with step-by-step code examples and good practice tipsBook DescriptionC# and .NET continue to power modern cross-platform and enterprise development. With the release of C# 14 and .NET 10, developers gain access to a more capable, efficient, and future-ready platform for building websites, services, and applications across Windows, Linux, and macOS.This fully updated tenth edition takes a practical, hands-on approach. You’ll start with core C# and object-oriented programming concepts, then progress through building, testing, and debugging applications while working with .NET libraries, filesystems, serialization, and LINQ. The book covers key C# 14 enhancements—such as field modifiers, partial events, and instance constructors, explained through real-world examples.You’ll also build modern web solutions using ASP.NET Core 10, Blazor, and Minimal APIs, including support for native AOT compilation, making this book well suited for cloud-native, microservice, and container-based development.By the end of the book, you’ll be confident in building maintainable, high-performance websites and services aligned with modern .NET development practices.What you will learnDiscover the new features in .NET 10, including the NumericOrdering option and OrderedDictionary enhancementsLeverage the latest ASP.NET Core 10 features, such as OpenAPI 3.1 document generation, YAML format support, and populating XML doc commentsUse native AOT publishing for faster startup and reduced memory footprintBuild rich web user interface experiences with BlazorIntegrate databases into your applications using EF Core 10 entity modelsQuery and manipulate data using LINQDevelop powerful web services with Minimal APIsWho this book is forThis book is for beginner-to-intermediate C# and .NET developers who want to build modern, cross-platform websites and services. Prior experience with C# or .NET is helpful but not required; a basic understanding of programming concepts is sufficient.

Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.Use the Jupyter notebook and IPython shell for exploratory computingLearn basic and advanced features in NumPyGet started with data analysis tools in the pandas libraryUse flexible tools to load, clean, transform, merge, and reshape dataCreate informative visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsAnalyze and manipulate regular and irregular time series dataLearn how to solve real-world data analysis problems with thorough, detailed examples

The definitive reference guide to C programming from K&R for writing good code that works and is easy to modify

Learn how to program in C from the developers of C, Brian Kernighan and Dennis Ritchie. Intended for those with at least some experience with one other language (even if you are a novice), this book contains a tutorial introduction to get new users started as soon as possible and separate chapters on each major feature:

Types, operators, and expressions Control flow Functions and program structure Pointers and arrays Structures Input and output

This second edition of The C Programming Language describes C as defined by the ANSI standard and includes a reference manual that conveys the essentials of the standard in a smaller space for easy comprehension for programmers.

"K&R is one of my favorite books. The style of the tutorial chapters is so deceptively light and simple and the manual so crisp. Much of C's reputation of simplicity comes from the clarity and great little examples from this book. My 1978 copy has lost its cover and my K&R2 is somewhat dog eared. Above all, K&R is a useful book."

Bjarne Stroustrup, designer and original implementer of C++, and author of The C++ Programming Language

Boken behandlar programmering, modellering och simulering i Python och vänder sig till en bred grupp av användare – från nybörjare, som vill lära sig grunderna i programmering, till mer vana användare, som vill använda Pythons olika paket för att modellera och simulera.I bokens första del behandlas grunderna i programmering. Presentationen är till stor del baserad på konkreta exempel: detta skriver man in och så här blir resultatet.Bokens andra del går igenom den matematik, främst linjär algebra och analys, som är nödvändig för att kunna använda Python för att modellera och simulera. Presentationen av matematiken knyts till Pythons inbyggda funktioner och rutiner.Den tredje och avslutande delen behandlar modellering och simulering. Efter en inledande översikt redovisas olika metoder för att sätta upp modeller och köra simuleringar, men även för att hantera och analysera experimentella data.Boken innehåller ett stort antal övningsuppgifter med fullständiga lösningar och lämpar sig väl för självstudier. På bokens webbplats (studentlitteratur.se/45427) finns datafiler och material för att kunna köra de exempel som presenteras. Där finns också fullständiga lösningar till bokens övningar.

Create LLM-powered autonomous agents and intelligent assistants that can adapt to your specific business and personal needs.Each job you take on or decision you make requires some of your precious time. AI Agents in Action teaches you to develop and deliver LLM-based assistants and agents that can independently process information, make decisions, and learn from interactions. These powerful autonomous AI agents and interactive assistants handle routine tasks behind the scenes so you can focus on other things.In AI Agents in Action, author Micheal Lanham combines cutting-edge academic research with practical experience to help you:

Understand AI agent behavior patterns Design and deploy intelligent agents Use the OpenAI Assistants API and other tools Manage knowledge and memory Build in feedback loops so agents learn from their actions Design collaborative multi-agent systems Create agents with speech and vision features

From script-free customer service chatbots to fully independent agents operating out of sight, AI-powered assistants are a groundbreaking advance in machine intelligence. In AI Agents in Action you'll learn a reliable, tested framework for developing working agents for a variety of practical business and personal tasks.

An Introduction to Programming by the Inventor of C++

Programming: Principles and Practice Using C++, Third Edition, will help anyone who is willing to work hard learn the fundamental principles of programming and develop the practical skills needed for programming in the real world. Previous editions have been used successfully by many thousands of students. This revised and updated edition

Assumes that your aim is to eventually write programs that are good enough for others to use and maintain Focuses on fundamental concepts and techniques, rather than on obscure language-technical details Is an introduction to programming in general, including procedural, object-oriented, and generic programming, rather than just an introduction to a programming language Covers both contemporary high-level techniques and the lower-level techniques needed for efficient use of hardware Will give you a solid foundation for writing useful, correct, type-safe, maintainable, and efficient code Is primarily designed for people who have never programmed before, but even seasoned programmers have found previous editions useful as an introduction to more effective concepts and techniques Covers a wide range of essential concepts, design and programming techniques, language features, and libraries Uses contemporary C++ (C++20 and C++23) Covers the design and use of both built-in types and user-defi ned types, complete with input, output, computation, and simple graphics/GUI Offers an introduction to the C++ standard library containers and algorithms

Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

The new C++11 standard allows programmers to express ideas more clearly, simply, and directly, and to write faster, more efficient code. Bjarne Stroustrup, the designer and original implementer of C++, has reorganized, extended, and completely rewritten his definitive reference and tutorial for programmers who want to use C++ most effectively.

The C++ Programming Language, Fourth Edition, delivers meticulous, richly explained, and integrated coverage of the entire language—its facilities, abstraction mechanisms, standard libraries, and key design techniques. Throughout, Stroustrup presents concise, “pure C++11” examples, which have been carefully crafted to clarify both usage and program design. To promote deeper understanding, the author provides extensive cross-references, both within the book and to the ISO standard.

New C++11 coverage includes

Support for concurrency Regular expressions, resource management pointers, random numbers, and improved containers General and uniform initialization, simplified for-statements, move semantics, and Unicode support Lambdas, general constant expressions, control over class defaults, variadic templates, template aliases, and user-defined literals Compatibility issues

Topics addressed in this comprehensive book include

Basic facilities: type, object, scope, storage, computation fundamentals, and more Modularity, as supported by namespaces, source files, and exception handling C++ abstraction, including classes, class hierarchies, and templates in support of a synthesis of traditional programming, object-oriented programming, and generic programming Standard Library: containers, algorithms, iterators, utilities, strings, stream I/O, locales, numerics, and more The C++ basic memory model, in depth

This fourth edition makes C++11 thoroughly accessible to programmers moving from C++98 or other languages, while introducing insights and techniques that even cutting-edge C++11 programmers will find indispensable.

This is a hardcover version of the Fourth Edition. Content in this hardcover and the paperback version is identical.

This book features an enhanced, layflat binding, which allows the book to stay open more easily when placed on a flat surface. This special binding method—noticeable by a small space inside the spine—also increases durability.

For courses in computer programming.

Evaluates the fundamentals of contemporary computer programming languages

Concepts of Computer Programming Languages introduces students to the fundamental concepts of computer programming languages and provides them with the tools necessary to evaluate contemporary and future languages. Through a critical analysis of design issues, the text teaches students the essential differences between computing with specific languages, while the in-depth discussion of programming language structures also prepares them to study compiler design. The 12th Edition includes new material on contemporary languages like Swift and Python, replacing discussions of outdated languages.

The authoritative resource to writing clear and idiomatic Go to solve real-world problems

Google’s Go team member Alan A. A. Donovan and Brian Kernighan, co-author of The C Programming Language, provide hundreds of interesting and practical examples of well-written Go code to help programmers learn this flexible, and fast, language. It is designed to get you started programming with Go right away and then to progress on to more advanced topics.

Basic components : an opening tutorial provides information and examples to get you off the ground and doing useful things as quickly as possible. This includes: command-line arguments gifs URLs web servers Program structure : simple examples cover the basic structural elements of a Go program without getting sidetracked by complicated algorithms or data structures. Data types: Go offers a variety of ways to organize data, with a spectrum of data types that at one end match the features of the hardware and at the other end provide what programmers need to conveniently represent complicated data structures. Composite types : arrays slices maps structs JSON test and HTML templates Functions : break a big job into smaller pieces that might well be written by different people separated by both time and space. Methods : declarations with a pointer receiver struct embedding values and expressions Interfaces : write functions that are more flexible and adaptable because they are not tied to the details of one particular implementation. Concurrent programming : Goroutines, channels, and with shared variables. Packages : use existing packages and create new ones. Automated testing : write small programs that check the code. Reflection features : update variables and inspect their values at run time. Low-level programming : step outside the usual rules to achieve the highest possible performance, interoperate with libraries written in other languages, or implement a function that cannot be expressed in pure Go.

Each chapter has exercises to test your understanding and explore extensions and alternatives. Source code is freely available for download and may be conveniently fetched, built, and installed using the go get command.

R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly. The Art of R Programming takes you on a guided tour of software development with R, from basic types and data structures to advanced topics like closures, recursion, and anonymous functions. No statistical knowledge is required, and your programming skills can range from hobbyist to pro. Along the way, you'll learn about functional and object-oriented programming, running mathematical simulations, and rearranging complex data into simpler, more useful formats. You'll also learn to: Create artful graphs to visualize complex data sets and functions Write more efficient code using parallel R and vectorization Interface R with C/C++ and Python for increased speed or functionality Find new R packages for text analysis, image manipulation, and more Squash annoying bugs with advanced debugging techniques Whether you're designing aircraft, forecasting the weather, or you just need to tame your data, The Art of R Programming is your guide to harnessing the power of statistical computing.

What will you learn from this book? Want to learn the Python language without slogging your way through how-to manuals? With Head First Python, you'll quickly grasp Python's fundamentals by working with built-in data structures and functions. You'll build your very own web app, which--once it's ready for prime time--runs in the cloud. You'll learn how to wrangle data with Python, scrape data from the web, feed data to pandas, and interact with databases. This third edition is a complete learning experience that will help you become a bona fide Python programmer in no time. What's so special about this book? If you've read a Head First book, you know what to expect: a visually rich format designed for the way your brain works. If you haven't, you're in for a treat. With this book, you'll learn Python through a multisensory experience that engages your mind--rather than a text-heavy approach that puts you to sleep.

Computer science can feel unapproachable for those without a formal CS education. Fun Computer Science Projects in Python pulls back that curtain, illuminating several foundational CS concepts through creative, hands-on projects. Each of the 7 projects is presented in a code-centric tutorial that gently introduces topics like interpreters, emulators, and machine learning without getting bogged down by complex theory. The projects showcase advanced Python language features and clean code principles while exploring interesting algorithms. Chapters conclude with discussions of real-world applications of the topic and proposed exercises to extend the reader's skills. Covers Python 3.x

Get a comprehensive, in-depth introduction to the core Python language with this hands-on book. Based on author Mark Lutz's popular training course, this updated sixth edition will help you quickly write efficient, high-quality code with Python. It's an ideal way to begin, whether you're new to programming or a professional developer versed in other languages.Complete with quizzes, exercises, and helpful illustrations, this easy-to-follow self-paced tutorial gets you started with Python 3.12 and all other releases in use today. With a pragmatic focus on what you need to know, it also introduces some advanced language features that have become increasingly common in Python code.This book helps you:Explore Python's built-in object types such as strings, lists, dictionaries, and filesCreate and process objects with Python statements, and learn Python's syntax modelUse functions and functional programming to avoid redundancy and maximize reuseOrganize code into larger components with modules and packagesCode robust programs with Python's exception handling and development toolsApply object-oriented programming and classes to make code customizableSurvey advanced Python tools including decorators, descriptors, and metaclassesWrite idiomatic Python code that runs portably across a wide variety of platforms

Leverage this example-packed, comprehensive guide for all your Python computational needsKey FeaturesLearn the first steps within Python to highly specialized conceptsExplore examples and code snippets taken from typical programming situations within scientific computing.Delve into essential computer science concepts like iterating, object-oriented programming, testing, and MPI presented in strong connection to applications within scientific computing.Book DescriptionPython has tremendous potential within the scientific computing domain. This updated edition of Scientific Computing with Python features new chapters on graphical user interfaces, efficient data processing, and parallel computing to help you perform mathematical and scientific computing efficiently using Python.This book will help you to explore new Python syntax features and create different models using scientific computing principles. The book presents Python alongside mathematical applications and demonstrates how to apply Python concepts in computing with the help of examples involving Python 3.8. You'll use pandas for basic data analysis to understand the modern needs of scientific computing, and cover data module improvements and built-in features. You'll also explore numerical computation modules such as NumPy and SciPy, which enable fast access to highly efficient numerical algorithms. By learning to use the plotting module Matplotlib, you will be able to represent your computational results in talks and publications. A special chapter is devoted to SymPy, a tool for bridging symbolic and numerical computations.By the end of this Python book, you'll have gained a solid understanding of task automation and how to implement and test mathematical algorithms within the realm of scientific computing.What you will learnUnderstand the building blocks of computational mathematics, linear algebra, and related Python objectsUse Matplotlib to create high-quality figures and graphics to draw and visualize resultsApply object-oriented programming (OOP) to scientific computing in PythonDiscover how to use pandas to enter the world of data processingHandle exceptions for writing reliable and usable codeCover manual and automatic aspects of testing for scientific programmingGet to grips with parallel computing to increase computation speedWho this book is forThis book is for students with a mathematical background, university teachers designing modern courses in programming, data scientists, researchers, developers, and anyone who wants to perform scientific computation in Python.

Learn how to create, train, and tweak large language models (LLMs) by building one from the ground up! In  Build a Large Language Model (from Scratch) bestselling author Sebastian Raschka guides you step by step through creating your own LLM. Each stage is explained with clear text, diagrams, and examples. You'll go from the initial design and creation, to pretraining on a general corpus, and on to fine-tuning for specific tasks. Build a Large Language Model (from Scratch) teaches you how to: Plan and code all the parts of an LLM Prepare a dataset suitable for LLM training Fine-tune LLMs for text classification and with your own data Use human feedback to ensure your LLM follows instructions Load pretrained weights into an LLM Build a Large Language Model (from Scratch) takes you inside the AI black box to tinker with the internal systems that power generative AI. As you work through each key stage of LLM creation, you'll develop an in-depth understanding of how LLMs work, their limitations, and their customization methods. Your LLM can be developed on an ordinary laptop, and used as your own personal assistant.   About the technology  Physicist Richard P. Feynman reportedly said, “I don't understand anything I can't build.” Based on this same powerful principle, bestselling author Sebastian Raschka guides you step by step as you build a GPT-style LLM that you can run on your laptop. This is an engaging book that covers each stage of the process, from planning and coding to training and fine-tuning.

How to Reduce Code Complexity and Develop Software More Sustainably "Mark Seemann is well known for explaining complex concepts clearly and thoroughly. In this book he condenses his wide-ranging software development experience into a set of practical, pragmatic techniques for writing sustainable and human-friendly code. This book will be a must-read for every programmer." -- Scott Wlaschin, author of Domain Modeling Made Functional Code That Fits in Your Head offers indispensable, practical advice for writing code at a sustainable pace and controlling the complexity that causes projects to spin out of control. Reflecting decades of experience helping software teams succeed, Mark Seemann guides you from zero (no code) to deployed features and shows how to maintain a good cruising speed as you add functionality, address cross-cutting concerns, troubleshoot, and optimize. You'll find valuable ideas, practices, and processes for key issues ranging from checklists to teamwork, encapsulation to decomposition, API design to unit testing. Seemann illuminates his insights with code examples drawn from a complete sample project. Written in C#, they're designed to be clear and useful to anyone who uses any object-oriented language including Java , C++, and Python. To facilitate deeper exploration, all code and extensive commit messages are available for download. Choose mindsets and processes that work, and escape bad metaphors that don't Use checklists to liberate yourself, improving outcomes with the skills you already have Get past “analysis paralysis” by creating and deploying a vertical slice of your application Counteract forces that lead to code rot and unnecessary complexity Master better techniques for changing code behavior Discover ways to solve code problems more quickly and effectively Think more productively about performance and security If you've ever suffered through bad projects or had to cope with unmaintainable legacy code, this guide will help you make things better next time and every time. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

The classic guide to how computers work, updated with new chapters and interactive graphics

"For me, Code was a revelation. It was the first book about programming that spoke to me. It started with a story, and it built up, layer by layer, analogy by analogy, until I understood not just the Code, but the System. Code is a book that is as much about Systems Thinking and abstractions as it is about code and programming. Code teaches us how many unseen layers there are between the computer systems that we as users look at every day and the magical silicon rocks that we infused with lightning and taught to think."

- Scott Hanselman, Partner Program Director, Microsoft, and host of Hanselminutes

Computers are everywhere, most obviously in our laptops and smartphones, but also our cars, televisions, microwave ovens, alarm clocks, robot vacuum cleaners, and other smart appliances. Have you ever wondered what goes on inside these devices to make our lives easier but occasionally more infuriating?

For more than 20 years, readers have delighted in Charles Petzold's illuminating story of the secret inner life of computers, and now he has revised it for this new age of computing. Cleverly illustrated and easy to understand, this is the book that cracks the mystery. You'll discover what flashlights, black cats, seesaws, and the ride of Paul Revere can teach you about computing, and how human ingenuity and our compulsion to communicate have shaped every electronic device we use.

This new expanded edition explores more deeply the bit-by-bit and gate-by-gate construction of the heart of every smart device, the central processing unit that combines the simplest of basic operations to perform the most complex of feats. Petzold's companion website, CodeHiddenLanguage.com, uses animated graphics of key circuits in the book to make computers even easier to comprehend.

In addition to substantially revised and updated content, new chapters include:

Chapter 18:  Let's Build a Clock! Chapter 21:  The Arithmetic Logic Unit Chapter 22:  Registers and Busses Chapter 23:  CPU Control Signals Chapter 24:  Jumps, Loops, and Calls Chapter 28: The World Brain

From the simple ticking of clocks to the worldwide hum of the internet, Code reveals the essence of the digital revolution.

The Classic Guide to the Java Programming Language--Fully Updated through Java 25

Whatever version of Java you are using, Core Java, Volume I: Fundamentals, Fourteenth Edition, will help you achieve a deep and practical understanding of the language and APIs. With hundreds of realistic examples, Java Champion Cay S. Horstmann demonstrates the most powerful and effective ways to get the job done.

Written for experienced programmers looking for in-depth coverage of the Java language and platform, this revised and updated edition continues to be the first choice for serious programmers. The carefully crafted sample programs demonstrate almost every language and library feature, as well as the newest capabilities introduced in Java 25. The examples are purposefully simple to focus on the major points, but for the most part, they aren't fake and they don't cut corners. They should make good starting points for your own code.

This first of two volumes offers a detailed treatment of fundamental Java programming topics, including object-oriented programming, reflection and proxies, interfaces and inner classes, exception handling, generics, collections, lambda expressions, concurrency, annotations, and the Java platform module system.

Master foundational techniques, idioms, and best practices forwriting superior Java code Leverage the power of interfaces, lambda expressions, and inner classes Take advantage of sealed class hierarchies and pattern matching for processing structured data Harden programs through effective exception handling and debugging Write safer, more reusable code with generic programming Improve performance and efficiency with Java's standard collections Explore simple programs with compact compilation units, instance main methods, and module imports Assemble complex programs with archives and modules Effectively utilize Java's powerful concurrency model, using platform and virtual thread

This is the definitive reference and instructional work for Java and the Java ecosystem."--Andrew Binstock, Java Magazine

See Core Java, Volume II: Advanced Features, Fourteenth Edition, for coverage of Java 25 enterprise features, including detailed discussions of networking, security, internationalization, and advanced UI programming.

Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Almost 50 years ago, the C language defined modern computer programming. This book shows you why C is still as powerful and popular as ever, with an inside look at the new C23 standard.For programs that need to be small, fast, and unfailingly reliable, C is still the gold standard. Whether you're writing embedded code, low-level system routines, or high-performance applications, C is up to the challenge. This unique book by Jens Gustedt, a member of the ISO C standards committee, gets you up to speed with C23.In Modern C, Third Edition you'll:

Learn C basics, core features, and advanced concepts Leverage major C23 improvements for security, reliability, and performance Write portable code that runs anywhere Build multi-threaded applications with atomics and synchronization Create robust and resilient software with error handling Use type-generic programming for reusable code

C powers more software than any other language—from embedded devices to distributed systems. In Modern C, Third Edition you'll learn to harness C's full potential using the latest tools and techniques. After a quick review of the fundamentals perfect for beginners or coders who haven't used C in a while, this book guides you to mastery of C23, the latest ISO standard.

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.Essential skills made easy! Written by Herb Schildt, the world’s leading programming author, this step-by-step book is ideal for first-time programmers or those new to C++. The modular approach of this series, including sample projects and progress checks, makes it easy to learn to use C++ at your own pace.

Enterprises have made amazing advances by taking advantage of data about their business to provide predictions and understanding of their customers, markets, and products. But as the world of business becomes more interconnected and global, enterprise data is no long a monolith; it is just a part of a vast web of data. Managing data on a world-wide scale is a key capability for any business today.The Semantic Web treats data as a distributed resource on the scale of the World Wide Web, and incorporates features to address the challenges of massive data distribution as part of its basic design. The aim of the first two editions was to motivate the Semantic Web technology stack from end-to-end; to describe not only what the Semantic Web standards are and how they work, but also what their goals are and why they were designed as they are. It tells a coherent story from beginning to end of how the standards work to manage a world-wide distributed web of knowledge in a meaningful way.The third edition builds on this foundation to bring Semantic Web practice to enterprise. Fabien Gandon joins Dean Allemang and Jim Hendler, bringing with him years of experience in global linked data, to open up the story to a modern view of global linked data. While the overall story is the same, the examples have been brought up to date and applied in a modern setting, where enterprise and global data come together as a living, linked network of data. Also included with the third edition, all of the data sets and queries are available online for study and experimentation at data.world/swwo.