Programmeringssprog og scriptsprog

Since its initial debut in 2015, this critically acclaimed quick-start guide to programming has taught millions of people all over the world to write clean code, solve problems, and build custom applications in the popular language of Python. The highly anticipated third edition of Python Crash Course has been completely revised with updated code, practices, and projects-making it the ultimate launchpad for beginners to start their engines and code in Python 3!

BEMÆRK: Der er udgivet en ny bog dækkende den nyere version 9.0 - EAN 9788799338238 - Bogen om C# 9.0---------------------------Hvis du gerne vil lære grundlæggende programmering med Microsofts populære programmeringssprog C#, eller har brug for et opslagsværk, har du fat i den helt rigtige bog. Bogen om C# 8.0 er opdelt i følgende kapitler: Introduktion til .NET, Udviklingsmiljøer, Introduktion til C#, Simple variabler, Tekster, Konstanter, Programflow, Metoder, Fejlhåndtering, Arrays, Samlinger, Dine egne typer, Klasser, Hukommelsesteori, Indkapsling, Arv, Polymorfi, Interface, Delegates, Hændelser, LINQ, Asynkron programmering.På www.bogenomcsharp.dk kan du desuden finde masser af videoer som understøtter mange af kapitlerne. Bogen kan benyttes som lærebog i C# programmering for private og på uddannelsesinstitutionerne og tager udgangspunkt i både Visual Studio og Visual Studio Code.Bogen er skrevet af Michell Cronberg, som har mange års erfaring med programmering – både som underviser, foredragsholder, konsulent og forfatter. Michell Cronberg har udgivet flere bøger og hæfter om forskellige former for programmering.

Hvis du gerne vil lære grundlæggende programmering med Microsofts populære programmeringssprog C#, eller har brug for et opslagsværk, har du fat i den helt rigtige bog.Bogen om C# 9.0 er opdelt i følgende kapitler:Introduktion til .NET, Udviklingsmiljøer, Introduktion til C#, Simple variabler, Tekster, Konstanter, Programflow, Metoder, Fejlhåndtering, Arrays, Samlinger, Dine egne typer, Klasser, Hukommelsesteori, Indkapsling, Arv, Polymorfi, Interface, Delegates, Hændelser, LINQ, Avancerede typer, Asynkron programmering.På www.bogenomcsharp.dk kan du desuden finde masser af videoer som understøtter mange af kapitlerne.Bogen kan benyttes som lærebog i C# programmering for private og på uddannelsesinstitutionerne og tager udgangspunkt i både Visual Studio og Visual Studio Code.Bogen er skrevet af Michell Cronberg, som har mange års erfaring med programmering – både som underviser, foredragsholder, konsulent og forfatter. Michell Cronberg har udgivet flere bøger og hæfter om forskellige former for programmering.

"The Rust Programming Language, 2nd Edition is the official guide to Rust 2021: an open source systems programming language that will help you write faster, more reliable software. 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. Klabnik and Nichols, alumni of the Rust Core Team, share their knowledge to help you get the most out of Rust's features so that you can create robust and scalable programs. You'll begin with basics like creating functions, choosing data types, and binding variables, then move on to more advanced concepts. In addition to the countless code examples, you'll find three chapters dedicated to building complete projects: a number-guessing game, a Rust implementation of a command line tool, and a multithreaded server."--Publisher marketing.

4. udgave har fået vejledninger i, hvordan man kommer i gang med de mest udbredte programmeringsværktøjer. Grafikprogrammering er baseret på Swing med nye afsnit om animation, fuldskærmstegning, menuer, genvejstaster, faneblade, dialoger og tabeller (JTable). Eksemplerne er opdateret og forenklet til at følge praksis for Java (TM) 2 Platform Standard Edition 6.0. Introduktion til programmering Bogen starter fra grunden af, men har du ikke programmeret før, bør du være rede til at gøre en indsats, dvs. løbende lave en række små programmer for at øve dig i stoffet. Det forudsættes endvidere, at du har godt kendskab til computere på brugerniveau. En smule kendskab til matematik er også en fordel, men bestemt ikke et krav. Objektorienteret programmering Bogen arbejder grundigt med begreberne omkring objektorienteret programmering (OOP) og giver mange praktiske eksempler på denne måde at programmere på. Den introducerer og anvender løbende relevante dele af UML-notationen, der er meget anvendt i OOP og beslægtede fag som objektorienteret analyse og design. * Objekter * Klasser * Autoboxing * Nedarvning * Polymorfi * Indkapsling * Indre klasser * Interfaces * Analyse og design * Kravslister * Brugssituationer Faciliteterne i Java Programmeringssproget Java har en række faciliteter, der kan lette programmeringen meget. Det overblik, der præsenteres i denne bog, hjælper dig med at udnytte de vigtigste faciliteter samtidig med, at hvert kapitel slutter af med at gå i dybden med en række relevante og avancerede emner. * Grafik * Brugergrænseflader (Swing) * Hændelser * Appletter * Pakker * Tråde * Filhåndtering * Håndtering af undtagelser * Objekt-serialisering * Netværkskommunikation * Databaser * Remote Method Invocation Vælg selv dit værktøj: Borland Jbuilder Eclipse.org Oracle Jdeveloper NetBeans BlueJ

This book about Visual Basic for Applications (VBA) is different from other books describing VBA for serveral reasons. It is fine-tuned for business applications and in particular business students and it includes business relevant examples. Already in the first chapters the reader is introduced to a variety of different VBA tools, which will enable him or her to write small useful business related programs. In the following chapters the same tools - and more - are presented in a more detailed and rigid way.VBA Programming in Business Economicsis structured as a textbook where each chapter is concluded with a number of exercises which can be used for individual training or as a base for computer-lab teaching. The book's webpage provides case projects that can be used to learn how to combine the material of the book in a larger context. In the situations where examples, exercises, and case projects require knowledge of specific theoretical background, this is provided as short summaries on the books webpage.Besides covering the basic programming, the book also covers programming topics that are more business related: How to use the Excel Solver from within the VBA code, how to perform simulations, and how to construct user forms and make them work with the program. Learning to make useful programs requires more than just writing a number of if- and while statements. Therefore the book also provides a chapter that illustrates how to design and structure a program.In all, this book is a hands-on-guide on VBA for graduate students in Business Economics.

Unleash the power of Python for your data analysis projects with For Dummies! Python is the preferred programming language for data scientists and combines the best features of Matlab, Mathematica, and R into libraries specific to data analysis and visualization.

A delightful, engaging, and comprehensive overview of interaction designEffective and engaging design is a critical component of any digital product, from virtual reality software to chatbots, smartphone apps, and more.In the newly updated sixth edition of Interaction Design: Beyond Human-Computer Interaction, a team of accomplished technology, design, and computing professors delivers an intuitive and instructive discussion of the principles underlying the design of effective interactive technologies. The authors discuss how to design and apply digital technologies in the real world, illustrated with numerous examples. The book explores the interdisciplinary foundations of interaction design, including skills from product design, computer science, human and social psychology, and others.The book builds on the highly successful fifth edition and draws on extensive new research and interviews with accomplished professionals and researchers in the field that reflect a rapidly-changing landscape. It is supported by a website hosting digital resources that add to and complement the material contained within.Readers will also find:* Explorations of the social and emotional components of interacting with apps, digital devices and computers* Descriptions about how to design, prototype, evaluate and construct technologies that support human-computer interaction* Discussions of the cognitive aspects of interaction design, as well as design and evaluation, including usability testing and expert reviews.An essential text for undergraduate and graduate students of human-computer interaction, interaction design, software engineering, web design, and information studies, Interaction Design will also prove to be indispensable for interaction design and user experience professionals.

This book provides a deep dive into the world of generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard. It serves as a one-stop resource for anyone interested in understanding and applying this transformative technology and is particularly aimed at those just getting started with generative AI.Applied Generative AI for Beginners is structured around detailed chapters that will guide you from foundational knowledge to practical implementation. It starts with an introduction to generative AI and its current landscape, followed by an exploration of how the evolution of neural networks led to the development of large language models. The book then delves into specific architectures like ChatGPT and Google Bard, offering hands-on demonstrations for implementation using tools like Sklearn. Yoüll also gain insight into the strategic aspects of implementing generative AI in an enterprise setting, with the authors covering crucial topics such as LLMOps, technology stack selection, and in-context learning. The latter part of the book explores generative AI for images and provides industry-specific use cases, making it a comprehensive guide for practical application in various domains.Whether you're a data scientist looking to implement advanced models, a business leader aiming to leverage AI for enterprise growth, or an academic interested in cutting-edge advancements, this book offers a concise yet thorough guide to mastering generative AI, balancing theoretical knowledge with practical insights.What You Will LearnGain a solid understanding of generative AI, starting from the basics of neural networks and progressing to complex architectures like ChatGPT and Google BardImplement large language models using Sklearn, complete with code examples and best practices for real-world applicationLearn how to integrate LLM¿s in enterprises, including aspects like LLMOps and technology stack selectionUnderstand how generative AI can be applied across various industries, from healthcare and marketing to legal compliance through detailed use cases and actionable insightsWho This Book Is ForData scientists, AI practitioners, Researchers and software engineers interested in generative AI and LLMs.

Go is rapidly becoming the preferred language for building web services. While there are plenty of tutorials available that teach Go's syntax to developers with experience in other programming languages, tutorials aren't enough. They don't teach Go's idioms, so developers end up recreating patterns that don't make sense in a Go context. This practical guide provides the essential background you need to write clear and idiomatic Go.No matter your level of experience, you'll learn how to think like a Go developer. Author Jon Bodner introduces the design patterns experienced Go developers have adopted and explores the rationale for using them. You'll also get a preview of Go's upcoming generics support and how it fits into the language.Learn how to write idiomatic code in Go and design a Go projectUnderstand the reasons for the design decisions in GoSet up a Go development environment for a solo developer or teamLearn how and when to use reflection, unsafe, and cgoDiscover how Go's features allow the language to run efficientlyKnow which Go features you should use sparingly or not at all

"In this hands-on guidebook, Windows security expert and bug hunter Forshaw distills his knowledge and describes the system in great depth. Readers learn the core components and features of the Microsoft Windows threat-mitigation system with in-depth technical discussions and real-world examples"--

"When you have questions about C# 12 or .NET 8, this best-selling guide has the answers you need. C# is a language of unusual flexibility and breadth, and with its continual growth, there's always so much more to learn. In the tradition of O'Reilly's Nutshell guides, this thoroughly updated edition is simply the best one-volume reference to the C# language available today."--Page [4] of cover.

A Patterns Approach to Designing Distributed Systems and Solving Common Implementation Problems More and more enterprises today are dependent on cloud services from providers like AWS, Microsoft Azure, and GCP. They also use products, such as Kafka and Kubernetes, or databases, such as YugabyteDB, Cassandra, MongoDB, and Neo4j, that are distributed by nature. Because these distributed systems are inherently stateful systems, enterprise architects and developers need to be prepared for all the things that can and will go wrong when data is stored on multiple servers--from process crashes to network delays and unsynchronized clocks. Patterns of Distributed Systems describes a set of patterns that have been observed in mainstream open-source distributed systems. Studying the common problems and the solutions that are embodied by the patterns in this guide will give you a better understanding of how these systems work, as well as a solid foundation in distributed system design principles. Featuring real-world code examples from systems like Kafka and Kubernetes, these patterns and solutions will prepare you to confidently traverse open-source codebases and understand implementations you encounter "in the wild." Review the building blocks of consensus algorithms, like Paxos and Raft, for ensuring replica consistency in distributed systems Understand the use of logical timestamps in databases, a fundamental concept for data versioning Explore commonly used partitioning schemes, with an in-depth look at intricacies of two-phase-commit protocol Analyze mechanisms used in implementing cluster coordination tasks, such as group membership, failure detection, and enabling robust cluster coordination Learn techniques for establishing effective network communication between cluster nodes. Along with enterprise architects and data architects, software developers working with cloud services such as Amazon S3, Amazon EKS, and Azure CosmosDB or GCP Cloud Spanner will find this set of patterns to be indispensable. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

If youre a web designer or app developer interested in sophisticated page styling, improved accessibility, and saving time and effort, this book is for you. This revised edition provides a comprehensive guide to CSS implementation, along with a thorough review of the latest CSS specifications.CSS is a constantly evolving language for describing the presentation of web content on screen, printers, speech synthesizers, screen readers, and chat windows. It is used by all browsers on all screen sizes on all types of IoT devices, including phones, computers, video games, televisions, watches, kiosks, and auto consoles. Authors Eric Meyer and Estelle Weyl show you how to improve user experience, speed development, avoid potential bugs, and add life and depth to your applications through layout, transitions and animations, borders, backgrounds, text properties, and many other tools and techniques.This guide covers:Selectors, specificity, and the cascadeValues, units, fonts, and text propertiesPadding, borders, outlines, and marginsColors, backgrounds, and gradientsFloats and positioning tricksFlexible box layoutThe new Grid layout system2D and 3D transforms, transitions, and animationFilters, blending, clipping, and maskingMedia and feature queries

With Learning JavaScript Design Patterns, youll learn how to write beautiful, structured, and maintainable JavaScript by applying classical and modern design patterns to the language. If you want to keep your code efficient, more manageable, and up-to-date with the latest best practices, this book is for you.Explore many popular design patterns, including Modules, Observers, Facades, and Mediators. Learn how modern architectural patternssuch as MVC, MVP, and MVVMare useful from the perspective of a modern web application developer. This book also walks experienced JavaScript developers through modern module formats, how to namespace code effectively, and other essential topics.Learn the structure of design patterns and how they are writtenUnderstand different pattern categories, including creational, structural, and behavioralWalk through more than 20 classical and modern design patterns in JavaScriptUse several options for writing modular codeincluding the Module pattern, Asyncronous Module Definition (AMD), and CommonJSDiscover design patterns implemented in the jQuery libraryLearn popular design patterns for writing maintainable jQuery plug-ins"e;This book should be in every JavaScript developers hands. Its the go-to book on JavaScript patterns that will be read and referenced many times in the future."e;Andre Hansson, Lead Front-End Developer, presis!

A thorough and helpful reference for aspiring website buildersLooking to start an exciting new career in front-end web building and design? Or maybe you just want to develop a new skill and create websites for fun. Whatever your reasons, it's never been easier to start learning how to build websites from scratch than with help from HTML, CSS, & JavaScript All-in-One For Dummies. This book has the essentials you need to wrap your head around the key ingredients of website design and creation.You'll learn to build attractive, useful, and easy-to-navigate websites by combining HTML, CSS, and JavaScript into fun and practical creations. Using the 6 books compiled within this comprehensive collection, you'll discover how to make static and dynamic websites, complete with intuitive layouts and cool animations. The book also includes:* Incorporate the latest approaches to HTML, CSS, and JavaScript, including those involving new markup, page styles, interactivity, and more* Step-by-step instructions for new site creators explaining the very basics of page layouts and animations* Easy-to-follow advice for adjusting page color and background, adding widgets to a site, and getting rid of all the bugs that affect site performance* Bonus 6th book available at https://www.wiley.com/en-us/HTML%2C+CSS%2C+%26amp%3B+JavaScript+All+in+One+For+Dummies-p-9781394164721.Web development is a fun, interesting, and challenging skill that can lead to a lucrative career (if you're so inclined). And with the right help, almost anyone can learn to create engaging websites from scratch. So, grab a copy of HTML, CSS, & JavaScript All-in-One For Dummies and you'll be designing and building before you know it!

Ready to master Python? Learn to write effective code, whether you're a beginner or a professional programmer. Review core Python concepts, including functions, modularization, and object orientation and walk through the available data types. Then dive into more advanced topics, such as using Django and working with GUIs. With plenty of code examples throughout, this hands-on reference guide has everything you need to become proficient in Python!Highlights include:1) Functions2) Methods3) Attributes4) Data types5) GUIs6) Debugging7) Network communication8) Modularization9) Object orientation10) Iterators11) Generators12) Exception handling

Want to learn the Python language without slogging your way through how-to manuals? With Head First Python, youll quickly grasp Pythons fundamentals, working with the built-in data structures and functions. Then youll move on to building your very own webapp, exploring database management, exception handling, and data wrangling. If youre intrigued by what you can do with context managers, decorators, comprehensions, and generators, its all here. This second edition is a complete learning experience that will help you become a bonafide Python programmer in no time.Why does this book look so different? Based on the latest research in cognitive science and learning theory, Head First Pythonuses a visually rich format to engage your mind, rather than a text-heavy approach that puts you to sleep. Why waste your time struggling with new concepts? This multi-sensory learning experience is designed for the way your brain really works.

An introduction to the Python programming language and its most popular tools for scientists, engineers, students, and anyone who wants to use Python for research, simulations, and collaboration.Doing Science with Python introduces readers to the most popular coding tools for scientific research, such as Anaconda, Spyder, Jupyter Notebooks, and JupyterLab, as well as dozens of important Python libraries for working with data, including NumPy, matplotlib, and pandas. No prior programming experience is required! You'll be guided through setting up a professional coding environment, then get a crash course on programming with Python, and explore the many tools and libraries ideal for working with data, designing visualizations, simulating natural events, and more. In the book's applied projects, you'll use these tools to write programs that perform tasks like counting tree rings, creating an interactive science slideshow, and simulating the foraging patterns of animals.

Engineering Deep Learning Systems teaches you to design and implement an automated platform to support creating, training, and maintaining deep learning models. In it, you'll learn just enough about deep learning to understand the needs of the data scientists who will be using your system. You'll learn to gather requirements, translate them into system component design choices, and integrate those components into a cohesive whole. A complete example system and insightful exercises help you build an intuitive understanding of DL system design.

Explore the faster way to build games using UE5 Blueprints using this practical guide with key images printed in colorKey FeaturesDesign a fully functional game in UE5 without writing a single line of codeImplement visual scripting to develop gameplay mechanics, UI, visual effects, VR, and artificial intelligenceDeploy your game on multiple platforms and share it with the worldBook DescriptionUnreal Engine's Blueprint visual scripting system enables designers to script their games and programmers to create base elements that can be extended by designers. With this book, you'll explore all the features of the Blueprint Editor, along with expert tips, shortcuts, and best practices.The book guides you through using variables, macros, and functions, and helps you learn about object-oriented programming (OOP). You'll discover the Gameplay Framework and advance to learning how Blueprint Communication allows one Blueprint to access information from another Blueprint. Later chapters focus on building a fully functional game step by step. You'll start with a basic first-person shooter (FPS) template, and each chapter will build on the prototype to create an increasingly complex and robust game experience. You'll then progress from creating basic shooting mechanics to more complex systems such as user interface elements and intelligent enemy behavior. The book demonstrates how to use arrays, maps, enums, and vector operations and introduces the elements needed for VR game development. In the final chapters, you'll learn how to implement procedural generation and create a product configurator.By the end of this book, you'll have learned how to build a fully functional game and have the skills required to develop an entertaining experience for your audience.What you will learnUnderstand programming concepts in BlueprintsCreate prototypes and iterate new game mechanics rapidlyBuild user interface elements and interactive menusUse advanced Blueprint nodes to manage the complexity of a gameExplore all the features of the Blueprint editor, such as the Components tab, Viewport, and Event GraphGet to grips with OOP concepts and explore the Gameplay FrameworkWork with virtual reality development in UE BlueprintImplement procedural generation and create a product configuratorWho this book is forThis book is for anyone interested in developing games or applications with UE5. Although basic knowledge of Windows OS is required, experience in programming or UE5 is not necessary.Table of ContentsExploring the Blueprint EditorProgramming with BlueprintsObject-Oriented Programming and the Gameplay FrameworkUnderstanding Blueprint CommunicationObject Interaction with BlueprintsEnhancing Player AbilitiesCreating Screen UI ElementsCreating Constraints and Gameplay ObjectivesBuilding Smart Enemies with Artificial IntelligenceUpgrading the AI EnemiesGame States and Applying Finishing TouchesBuilding and PublishingData Structures and Flow ControlMath and Trace NodesBlueprints TipsIntroduction to VR DevelopmentAnimation BlueprintsCreating Blueprint Libraries and ComponentsProcedural GenerationCreating a Product Configurator using the Variant Manager

Excel til andet end forretningsprocesser og andre seriøse - og mere almindelige - anvendelser Om at gøre regnearket til et værktøj der kan meget mere Om nye ideer, sjove indfald og at gøre det umulige muligt I denne omgang gælder det alt andet end noget seriøst, for ja, Excel kan sagtens benyttes til en masse underholdning og ikke kun anvendes forretningsmæssigt. Man skal nok være lidt ekstra vild med - eller skør med - Excel, kodning og at fordybe sig i denne tekniske og måske nok lidt smånørdede verden. Men når det er på plads, er der masser af sjove muligheder lige ved hånden. Formålet er stadig - ligesom de tidligere hæfter - at tænke alternativt, kigge udover hvad der i dag er muligt eller tænkeligt, og overgå det.

Meta Description: With a wealth of practical recipes, this third edition isn't just a guide to C++23; it's a complete resource covering key features and techniques from C++11 through to C++23. It's designed to keep you ahead of the curve in C++.Key Features:- Updated and packed with new recipes, including sync streams, std:expected and std:mdspan, and C++20/23 range adaptors- Covers all significant features from all modern versions of the standard, providing comprehensive insights into modern C++- Learn through a series of hands-on, self-contained recipes- Purchase of the print or Kindle book includes a free eBook in PDF formatBook Description:The updated third edition of Modern C++ Programming Cookbook addresses the latest features of C++23, such as the stacktrace library, std::expected and std::mdspan classes, the header, formatting library improvements, and updates to the ranges library. It also gets into more C++20 topics not previously covered, such as sync streams and source_location.The book is organized into practical recipes covering a wide range of real-world problems, helping you find the solutions you need quickly. You'll find coverage of all the core concepts of modern C++ programming and features and techniques from C++11 through to C++23, meaning you'll stay ahead of the curve by learning to incorporate the newest language and library improvements.Beyond the core concepts and new features, you'll explore recipes related to performance and best practices, how to implement useful patterns and idioms, like pimpl, named parameter, attorney-client, and the factory pattern, and how to complete unit testing with the widely used C++ libraries: Boost.Test, Google Test, and Catch2.With the comprehensive coverage this C++ programming guide offers, by the end of the book you'll have everything you need to build performant, scalable, and efficient applications in C++.What You Will Learn:- Explore the new C++23 language and library features- Go deep into the most useful C++20 features- Learn to handle threading and concurrency for better performance- Solve complex string manipulation tasks efficiently with regex- Leverage the standard library for faster development- Master the filesystem library to work with files and directories- Work with different types of strings and understand compilation- See how you can use CRTP, mixins and other patterns in C++Who this book is for:This book is designed for entry- and intermediate-level programmers who already have a foundational understanding of the C++ programming language, but who are looking to master the language, implement the newest features, and become proficient modern C++ developers. Experienced C++ programmers can leverage the recipes in this book to quickly get up to speed on all the most important language and library features of C++11/14/17/20 and 23.Table of Contents- Learning Modern Core Language Features- Working with Numbers and Strings- Exploring Functions- Preprocessing and Compilation- Standard Library Containers, Algorithms, and Iterators- General-Purpose Utilities- Working with Files and Streams- Leveraging Threading and Concurrency- Robustness and Performance- Implementing Patterns and Idioms- Exploring Testing Frameworks- C++23 Features

Unleash DevOps excellence with Python and its ecosystem of tools for seamless orchestration on both local and cloud platforms, such as GCP, AWS, and AzureKey FeaturesIntegrate Python into DevOps for streamlined workflows, task automation, and improved collaborationCombine the principles of Python and DevOps into a unified approach for problem solvingLearn about Python's role in Infrastructure as Code (IaC), MLOps, networking, and other domainsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionPython stands out as a powerhouse in DevOps, boasting unparalleled libraries and support, which makes it the preferred programming language for problem solvers worldwide. This book will help you understand the true flexibility of Python, demonstrating how it can be integrated into incredibly useful DevOps workflows and workloads, through practical examples.You'll start by understanding the symbiotic relation between Python and DevOps philosophies and then explore the applications of Python for provisioning and manipulating VMs and other cloud resources to facilitate DevOps activities. With illustrated examples, you'll become familiar with automating DevOps tasks and learn where and how Python can be used to enhance CI/CD pipelines. Further, the book highlights Python's role in the Infrastructure as Code (IaC) process development, including its connections with tools like Ansible, SaltStack, and Terraform. The concluding chapters cover advanced concepts such as MLOps, DataOps, and Python's integration with generative AI, offering a glimpse into the areas of monitoring, logging, Kubernetes, and more.By the end of this book, you'll know how to leverage Python in your DevOps-based workloads to make your life easier and save time.What you will learnImplement DevOps practices and principles using PythonEnhance your DevOps workloads with PythonCreate Python-based DevOps solutions to improve your workload efficiencyUnderstand DevOps objectives and the mindset needed to achieve themUse Python to automate DevOps tasks and increase productivityExplore the concepts of DevSecOps, MLOps, DataOps, and moreUse Python for containerized workloads in Docker and KubernetesWho this book is forThis book is for IT professionals venturing into DevOps, particularly programmers seeking to apply their existing programming knowledge to excel in this field. For DevOps professionals without a coding background, this book serves as a resource to enhance their understanding of development practices and communicate more effectively with developers. Solutions architects, programmers, and anyone regularly working with DevOps solutions and Python will also benefit from this hands-on guide.Table of ContentsIntroducing DevOps PrinciplesTalking about PythonThe Simplest Ways to Start Using DevOps in Python ImmediatelyProvisioning ResourcesManipulating ResourcesSecurity and DevSecOps with PythonAutomating TasksUnderstanding Event-Driven ArchitectureUsing Python for CI/CD PipelinesCommon DevOps Use Cases in Some of the Biggest Companies in the WorldMLOps and DataOpsHow Python Integrates with IaC ConceptsThe Tools to Take Your DevOps to the Next Level

Explore the C++ 23 STL with practical guidance on vectors, algorithms, and custom types for intermediate developers, enriched by real-world examples.Key FeaturesMaster the std::vector and understand why it should be your default container of choiceUnderstand each STL algorithm and its practical applicationsGain insights into advanced topics such as exception guarantees and thread safetyPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionWhile the Standard Template Library (STL) offers a rich set of tools for data structures and algorithms, navigating its intricacies can be daunting for intermediate C++ developers without expert guidance. This book offers a thorough exploration of the STL's components, covering fundamental data structures, advanced algorithms, and concurrency features.Starting with an in-depth analysis of the std::vector, this book highlights its pivotal role in the STL, progressing toward building your proficiency in utilizing vectors, managing memory, and leveraging iterators. The book then advances to STL's data structures, including sequence containers, associative containers, and unordered containers, simplifying the concepts of container adaptors and views to enhance your knowledge of modern STL programming. Shifting the focus to STL algorithms, you'll get to grips with sorting, searching, and transformations and develop the skills to implement and modify algorithms with best practices. Advanced sections cover extending the STL with custom types and algorithms, as well as concurrency features, exception safety, and parallel algorithms.By the end of this book, you'll have transformed into a proficient STL practitioner ready to tackle real-world challenges and build efficient and scalable C++ applications.What you will learnStreamline data handling using the std::vectorMaster advanced usage of STL iteratorsOptimize memory in STL containersImplement custom STL allocatorsApply sorting and searching with STL algorithmsCraft STL-compatible custom typesManage concurrency and ensure thread safety in STLHarness the power of parallel algorithms in STLWho this book is forThis book is for intermediate-level C++ developers looking to enhance their software development skills. Familiarity with basic C++ syntax and object-oriented programming (OOP) as well as some exposure to data structures and algorithms is assumed.Tailored to software engineers, computer science students, and hobbyist programmers, this book delves into C++ STL for practical application, performance enhancement, and efficient coding practices.Table of ContentsThe Basics of std::vectorMastering Iterators with std::vectorMastering Memory and Allocators with std::vectorMastering Algorithms with std::vectorMaking a Case for std::vectorAdvanced Sequence Container UsageAdvanced Ordered Associative Container UsageAdvanced Unordered Associative Container UsageAdvanced Container Adaptor UsageAdvanced Container View UsageFundamental Algorithms and SearchingManipulation and TransformationNumeric and Range-Based OperationsPermutations, Partitions, and HeapsSTL with RangesCreating STL-Types ContainersCreating STL-Compatible AlgorithmsType Traits and PoliciesException SafetyThread Safety and Concurrency with the STLSTL Interaction with Concepts and CoroutinesParallel Algorithms with the STL

Python è un linguaggio di programmazione noto da una sintassi essenziale e un uso estensivo nello sviluppo di applicazioni molto complesse, per il quale PHP è spesso, quindi, tuttavia, ha in comune la disponibilità di un gran numero di librerie. Questo libro presenta Windows e Utenti UNIX ad utilizzare Python, dai concetti fondamentali e poi trasmettono in pratica con le esenzioni della crescente complessità.

Il Turbo Pascal (successivamente Borland Pascal, poiché prodotto dalla Borland), in informatica, è un compilatore di listati Pascal. Dotato di un IDE, inizialmente per gli ambienti CP/M e DOS, è stato prodotto tra il 1983 e il 1995.

Catapult your C# journey with this guide to crafting standout resumes, mastering advanced concepts, and navigating job offers with real-world insights for unparalleled success in programming and interviewsKey FeaturesAcquire a strong foundation in syntax, data types, and object-oriented programming to code confidentlyDevelop strategies for addressing behavioral questions, tackle technical challenges, and showcase your coding skillsAugment your C# programming skills with valuable insights from industry expertsPurchase of the print or Kindle book includes a free PDF eBookBook DescriptionIf you're gearing up for technical interviews by enhancing your programming skills and aiming for a successful career in C# programming and software development, the C# Interview Guide is your key to interview success.Designed to equip you with essential skills for excelling in technical interviews, this guide spans a broad spectrum, covering fundamental C# programming concepts to intricate technical details. As you progress, you'll develop proficiency in crafting compelling resumes, adeptly answering behavioral questions, and navigating the complexities of salary negotiations and job evaluations. What sets this book apart is its coverage, extending beyond technical know-how and incorporating real-world experiences and expert insights from industry professionals. This comprehensive approach, coupled with guidance on overcoming challenges, ranging from interview preparation to post-interview strategies, makes this guide an invaluable resource for those aspiring to advance in their C# programming careers.By the end of this guide, you'll emerge with a solid understanding of C# programming, advanced technical interview skills, and the ability to apply industry best practices.What you will learnCraft compelling resumes and cover letters for impactful job applicationsDemonstrate proficiency in fundamental C# programming concepts and syntaxMaster advanced C# topics, including LINQ, asynchronous programming, and design patternsImplement best practices for writing clean, maintainable C# codeUse popular C# development tools and frameworks, such as .NET and .NET CoreNegotiate salary, evaluate job offers, and build a strong C# portfolioApply soft skills for successful interactions in C# development rolesWho this book is forThis book is for individuals aspiring to pursue a career in C# programming or software development. Whether you are a beginner or experienced professional, this guide will enhance your technical interview skills and C# programming knowledge.Table of ContentsCrafting a Compelling Résumé and Cover Letter, Online Presence, and Interview PreparationAcing the Interview - Mastering Behavioral Questions and Interview TechniquesFundamentals of C# ProgrammingAdvanced C# ConceptsFundamentals Governing Maintainable and Efficient C# ProgrammingDeep Dive into C# Libraries and FrameworksOvercoming Challenges in C# Technical Interviews and Tips for Tackling Coding Challenges during InterviewsBuilding Soft Skills and Expanding Your NetworkNegotiating Your Salary and Evaluating Job OffersGaining Expert Insights, Following Up Effectively, and Taking ActionLaunching Your C# Career - Insights

Dive into the world of computer programming with "Python Programming for Beginners," the illustrated guide that demystifies coding for newcomers. Whether you're a student, professional, or hobbyist, this book is designed to provide an easy-to-understand introduction to one of the most popular programming languages today.Key Features:Step-by-Step Instructions and straightforward explanations with practical examples to guide you through Python's fundamental concepts, from basics to more advanced topics.Hands-On Projects to solidify your learning with real-world programs that show the practical applications of your new python coding skills.Easy-to-Follow Format for logical and incremental learning ensuring each new concept builds on the last.Expert Tips and Tricks for efficient coding practices to write clean and optimized Python code.Interactive Learning with lab exercises at the end of each chapter to test your understanding and help you master key programming constructs in python.What you'll learnGetting Started: Installation guides for every major OS and setting up your development environment.Python Basics: Learn the syntax, language rules, and start writing scripts.Variables and Data Types: Understand how to work with different types of data in Python.Control Structures and Loops: Master decision-making in your code and automate repetitive tasks with Python.Data Structures: Dive into lists, tuples, sets, and dictionaries for organized data management.File Handling: Manage files with Python, including reading, writing, and serializing data.Functions and Exception Handling: Write reusable code and handle errors gracefully.Object-Oriented Programming: Get to know classes, objects, inheritance, and more.Modules & Libraries: Expand your Python capabilities with modules and external libraries.Graphics and GUIs: Create graphical interfaces and visuals with Tkinter and PyQt.Game Development: Step into game creation with Pygame and build your own projects.Debugging and Testing: Ensure your code is error-free and works as intended.Deploying Apps: Turn your scripts into standalone applications and distribute them.Web Development: Introduction to web frameworks like Django and Flask.Benefits:Python skills are in high demand; this book can set you on a path to a lucrative career in tech.Programming teaches you to think logically and improve your problem-solving capabilities.Python's applications range from web development to data science and artificial intelligence, making your new skills highly versatile.

Unlock the power of Python in ArcGIS(R) Pro with this definitive, easy-to-follow guide designed for users with limited programming or scripting experience.Get started learning to write Python scripts to automate tasks in ArcGIS Pro with Python Scripting for ArcGIS Pro. This book begins with the fundamentals of Python programming and then dives into how to write useful Python scripts that work with spatial data in ArcGIS Pro. You'll learn how to use geoprocessing tools; describe, create, and update data; and execute specialized tasks. With step-by-step instructions, practical examples, and insightful guidance, you'll be able to write scripts that will automate and improve your ArcGIS Pro workflows.Helpful points to remember, key terms, and review questions are included at the end of each chapter to reinforce your understanding of Python. Corresponding data and tutorials are available online. This third edition has been updated for ArcGIS Pro 3.2 and Python 3.9.18 and includes updated images, a fully updated chapter 2, and expanded chapters 4, 8, 9, and 10.Whether you're new to Python or already have some experience, Python Scripting for ArcGIS Pro is the go-to resource for learning the versatility of Python coding to solve problems and enhance productivity and efficiency in ArcGIS Pro.Dr. Paul A. Zandbergen is a professor in the GIS program at Vancouver Island University. His research focuses on the robustness of spatial analytical techniques in crime analysis, environmental science, public health, spatial ecology, and water resources. His research has been funded by the National Science Foundation, the National Institute of Justice, and the National Institutes of Health. In addition to this book and Advanced Python Scripting for ArcGIS, he has published over 50 journal articles and book chapters. He lives with his family in Vancouver, British Columbia, Canada.