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.

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.

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!

I föreliggande bok ska vi göra några strandhugg i den reella fler­variabel­analysen och med ett flertal exempel visa hur vi kan använda Python för problemlösning inom detta intressanta område.I slutet av varje kapitel finns ett antal övningsuppgifter. Boken, som förutsätter dels grundläggande färdigheter i Python, dels kunskaper i flervariabelanalys, är tänkt att användas i civil­ingenjörsprogrammens kurser. Boken lämpar sig dessutom utmärkt för självstudier.

Den här handledningen lyfter programmering som en del av digital kompetens. Den ger dig tips och förslag på hur du med stöd av innehållet i lektionsbanken Digitala lektioner kan arbeta med programmering och digital kompetens i flera olika ämnen i klassrummet. Digitala lektioner, digitalalektioner.se, är en öppen och kostnadsfri digital lärresurs från Internetstiftelsen. Lektionsbanken innehåller cirka 140 färdiga lektioner med fokus på skrivningarna om digital kompetens i läroplanen för grundskolan, Lgr11. Lektionerna spänner över många skolämnen och olika aspekter av digital kompetens. Målet med lektionsbanken är att den ska ge alla lärare möjlighet att utveckla alla elevers digitala kompetens.

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.

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

Seamlessly integrate the Python and R programming languages with spreadsheet-based data analysis to maximize productivityKey FeaturesPerform advanced data analysis and visualization techniques with R and Python on Excel dataUse exploratory data analysis and pivot table analysis for deeper insights into your dataIntegrate R and Python code directly into Excel using VBA or API endpointsPurchase of the print or Kindle book includes a free PDF eBookBook Description– Extending Excel with Python and R is a game changer resource written by experts Steven Sanderson, the author of the healthyverse suite of R packages, and David Kun, co-founder of Functional Analytics. – This comprehensive guide transforms the way you work with spreadsheet-based data by integrating Python and R with Excel to automate tasks, execute statistical analysis, and create powerful visualizations. – Working through the chapters, you’ll find out how to perform exploratory data analysis, time series analysis, and even integrate APIs for maximum efficiency. – Both beginners and experts will get everything you need to unlock Excel's full potential and take your data analysis skills to the next level. – By the end of this book, you’ll be able to import data from Excel, manipulate it in R or Python, and perform the data analysis tasks in your preferred framework while pushing the results back to Excel for sharing with others as needed. What you will learnRead and write Excel files with R and Python librariesAutomate Excel tasks with R and Python scriptsUse R and Python to execute Excel VBA macrosFormat Excel sheets using R and Python packagesCreate graphs with ggplot2 and Matplotlib in ExcelAnalyze Excel data with statistical methods and time series analysisExplore various methods to call R and Python functions from ExcelWho this book is for– If you’re a data analyst or data scientist, or a quants, actuaries, or data practitioner looking to enhance your Excel skills and expand your data analysis capabilities with R and Python, this book is for you. – The comprehensive approach to the topics covered makes it suitable for both beginners and intermediate learners. – A basic understanding of Excel, Python, and R is all you need to get started.

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.

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.

Performance tuning is an experimental science, but that doesn't mean engineers should resort to guesswork and folklore to get the job done. Yet that's often the case. With this practical book, intermediate to advanced Java technologists working with complex platforms will learn how to tune Java cloud applications for performance using a quantitative, verifiable, and repeatable approach.In response to the ubiquity of cloud computing, this updated edition of Optimizing Cloud Native Java addresses topics that are key to high performance of Java applications in the cloud. Many resources on performance tend to focus on the theory and internals of Java virtual machines, but this book discusses the low-level technical aspects within the context of performance-tuning practicalities and examines a wide range of aspects.With this book, you will:Learn how Java principles and technology make the best use of modern hardware, operating systems, and cloud stacksExamine the pitfalls of measuring Java performance numbers and the drawbacks of microbenchmarkingUnderstand how to package, deploy, operate, and debug Java/JVM applications in modern cloud environmentsApply emerging observability approaches to obtain deep understanding of cloud native applicationsUse Java language performance techniques including concurrent and distributed forms

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.

With the shift from data warehouses to data lakes, data now lands in repositories before it's been transformed, enabling engineers to model raw data into clean, well-defined datasets. DBT (data build tool) helps you take data further. This practical book shows data analysts, data engineers, BI developers, and data scientists how to create a true self-service transformation platform through the use of dynamic SQL.Authors Rui Machado from Monstarlab and Helder Russa from Jumia show you how to quickly deliver new data products by focusing more on value delivery and less on architectural and engineering aspects. If you know your business well and have the technical skills to model raw data into clean, well-defined datasets, you'll learn how to design and deliver data models without any technical influence.With this book, you'll learn:What DBT is and how a DBT project is structuredHow DBT fits into the data engineering and analytics worldsHow to collaborate on building data modelsThe main tools and architectures for building useful, functional data modelsHow to fit DBT into data warehousing and laking architectureHow to build tests for data transformations

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

Dive deep into Kotlin design patterns, explore idiomatic functional programming, and master microservices with frameworks like Arrow, Ktor, and Vert.x.Key FeaturesStart from basic Kotlin syntax and go all the way to advanced topics like Coroutines and structural concurrencyLearn how to select and implement the right design pattern for your next Kotlin projectGet to grips with concurrent and reactive microservices with Ktor and Vert.xBook DescriptionFor developers who are working with design patterns in Kotlin, this practical guide offers an opportunity to put their knowledge into practice. The book covers classical and modern design patterns, and provides a hands-on approach to implementation, along with associated methodologies.The third edition stays current with Kotlin updates, spanning from version 1.6 onwards, and offers in-depth insights into topics like structured concurrency and context receivers. The book starts by introducing essential Kotlin syntax and the significance of design patterns, covering classic Creational, Structural, and Behavioral patterns. It then progresses to explore functional programming, Reactive, and Concurrent patterns, including detailed discussions on coroutines and structured concurrency. As you navigate through these advanced concepts, you'll enhance your Kotlin coding skills. The book also delves into the latest architectural trends, focusing on microservices design patterns and aiding your decision-making process when choosing between architectures.By the end of the book, you will have a solid grasp of these advanced concepts and be able to apply them in your own projects.What you will learnUtilize functional programming and coroutines with the Arrow frameworkUse classical design patterns in the Kotlin programming languageScale your applications with reactive and concurrent design patternsDiscover best practices in Kotlin and explore its new featuresApply the key principles of functional programming to KotlinFind out how to write idiomatic Kotlin code and learn which patterns to avoidHarness the power of Kotlin to design concurrent and reliable systems with easeCreate an effective microservice with Kotlin and the Ktor frameworkWho this book is forThis book is for developers who want to apply design patterns they've learned from other languages in Kotlin and build reliable, scalable, and maintainable applications. You'll need a good grasp on at least one programming language before you get started with this book. Familiarity with classical design patterns from your language of choice would be helpful, but you'll still be able to follow along if you code in other languages

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.

Write solid, secure, object-oriented code in the new PHP 8. In this book you will create a complete three-tier application using a natural process of building and testing modules within each tier. This practical approach teaches you about app development and introduces PHP features when they are actually needed rather than providing you with abstract theory and contrived examples.In Learn PHP 8, programming examples take advantage of the newest PHP features; you’ll follow a learn-by-doing approach, which provides you with complete coding examples. “Do It” exercises in each chapter provide the opportunity to make adjustments to the example code. The end-of-chapter programming exercises allow you to develop your own applications using the algorithms demonstrated in the chapter. Each tier is logically and physically separated using object-oriented and dependency injection techniques, thus allowing independent tiers that can be updated with little or no effect on the other tiers. In addition to teaching good programming practices through OOP, there is a strong emphasis on creating secure code.As each chapter is completed, you’ll have the opportunity to design and create an application reinforcing the concepts learned. What You Will LearnProgram PHP 8 web applicationsUse interfaces, containers, and platformsApply modular programming Manage data objects and use MySQL and other databasesWork with multi-functional and secure user interfaces Handle logging exceptions and moreWho This Book Is For Those new to web development, specifically PHP programming. Also, this book can be useful to those who have some PHP/web development experience who are new to PHP 8.

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.

Build dynamic web applications with Express, a key component of the Node/JavaScript development stack. In this updated edition, author Ethan Brown teaches you Express fundamentals by walking you through the development of an example application. This hands-on guide covers everything from server-side rendering to API development suitable for use in single-page apps (SPAs).Express strikes a balance between a robust framework and no framework at all, allowing you a free hand in your architecture choices. Frontend and backend engineers familiar with JavaScript will also learn best practices for building multipage and hybrid web apps with Express. Pick up this book and discover new ways to look at web development.Create a templating system for rendering dynamic dataDive into request and response objects, middleware, and URL routingSimulate a production environment for testingPersist data in document databases with MongoDB and relational databases with PostgreSQLMake your resources available to other programs with APIsBuild secure apps with authentication, authorization, and HTTPSIntegrate with social media, geolocation, and moreImplement a plan for launching and maintaining your appLearn critical debugging skills

The definitive guide to Java programming language best practices from Josh Bloch

Each chapter of Effective Java, Third Edition, consists of several “items,” each presented in the form of a short, stand-alone essay that provides specific advice, insight into Java platform subtleties, and code examples. The comprehensive descriptions and explanations for each item illuminate what to do, what not to do, and why. While coverage is through Java 9, this guidance covers core Java features every programmer works with, regardless of which version.

Concurrency: write clear, correct, well-documented concurrent programs Objects: creating and destroying; common methods Classes and interfaces: guidelines for making them usable, robust, and flexible Generics: tell the compiler what types of objects are permitted in each collection for safer and clearer programs Enums and annotations: two special-purpose families of reference types Functions: break a big job into smaller pieces that might well be written by different people separated by both time and space. Lambdas and streams: create function objects with more ease Method designs: treat parameters and return values; design method signatures; document methods Exceptions: improve a program’s readability, reliability, and maintainability Object serialization: the dangers of serialization and how to minimize them General programming: local variables control structures libraries data types reflection native methods optimization naming conventions

 Programmers still consider this the best book on Java programming today.

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.

Description

C# is an amazing language that's up to any challenge you can throw at it. As a C# developer, you also need to be up to the task.

C# in Depth, Fourth Edition is the key to unlocking the powerful new features added to the language in C# 5, 6, and 7. Following the expert guidance of C# legend Jon Skeet, readers will master asynchronous functions, expression-bodied members, interpolated strings, tuples, and much more.

 

Key features

·    Expert guidance

·    Hands-on examples

·    Step-by-step guide

 

Audience

If you're a C# developer who's comfortable working with the language and wants to really dig in deep, then this book is for you.

About the technology

.NET developers, will use C# whether their building an advanced enterprise application or just pushing out a quick ASP.NET app. C# 5, 6 and 7 have added a host of new features to help users write better code with tuples, string interpolation, pattern matching, and more.

What sets Laravel apart from other PHP web frameworks? Speed and simplicity, for starters. This rapid application development framework and its ecosystem of tools let you quickly build new sites and applications with clean, readable code. Fully updated to include Laravel 10, the third edition of this practical guide provides the definitive introduction to one of today's most popular web frameworks.Matt Stauffer, a leading teacher and developer in the Laravel community, delivers a high-level overview and concrete examples to help experienced PHP web developers get started with this framework right away. This updated edition covers the entirely new auth and frontend tooling and other first-party tools introduced since the second edition.Dive into features, including:Blade, Laravel's powerful custom templating toolTools for gathering, validating, normalizing, and filtering user-provided dataThe Eloquent ORM for working with application databasesThe Illuminate request object and its role in the application lifecyclePHPUnit, Mockery, and Dusk for testing your PHP codeTools for writing JSON and RESTful APIsInterfaces for filesystem access, sessions, cookies, caches, and searchTools for implementing queues, jobs, events, and WebSocket event publishingSpecialty packages including Scout, Passport, Cashier, and more

Baseball is not the only sport to use "moneyball." American football fans, teams, and gamblers are increasingly using data to gain an edge against the competition. Professional and college teams use data to help select players and identify team needs. Fans use data to guide fantasy team picks and strategies. Sports bettors and fantasy football players are using data to help inform decision making. This concise book provides a clear introduction to using statistical models to analyze football data.Whether your goal is to produce a winning team, dominate your fantasy football league, qualify for an entry-level football analyst position, or simply learn R and Python using fun example cases, this book is your starting place. You'll learn how to:Apply basic statistical concepts to football datasetsDescribe football data with quantitative methodsCreate efficient workflows that offer reproducible resultsUse data science skills such as web scraping, manipulating data, and plotting dataImplement statistical models for football dataLink data summaries and model outputs to create reports or presentations using tools such as R Markdown and R ShinyAnd more

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.

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.

A comprehensive guide to programming with network sockets, implementing internet protocols, designing IoT devices, and much more with CKey FeaturesApply your C and C++ programming skills to build powerful network applicationsGet to grips with a variety of network protocols that allow you to load web pages, send emails, and do much moreWrite portable network code for Windows, Linux, and macOSBook DescriptionNetwork programming enables processes to communicate with each other over a computer network, but it is a complex task that requires programming with multiple libraries and protocols. With its support for third-party libraries and structured documentation, C is an ideal language to write network programs.Complete with step-by-step explanations of essential concepts and practical examples, this C network programming book begins with the fundamentals of Internet Protocol, TCP, and UDP. You’ll explore client-server and peer-to-peer models for information sharing and connectivity with remote computers. The book will also cover HTTP and HTTPS for communicating between your browser and website, and delve into hostname resolution with DNS, which is crucial to the functioning of the modern web. As you advance, you’ll gain insights into asynchronous socket programming and streams, and explore debugging and error handling. Finally, you’ll study network monitoring and implement security best practices.By the end of this book, you’ll have experience of working with client-server applications and be able to implement new network programs in C.The code in this book is compatible with the older C99 version as well as the latest C18 and C++17 standards. You’ll work with robust, reliable, and secure code that is portable across operating systems, including Winsock sockets for Windows and POSIX sockets for Linux and macOS.What you will learnUncover cross-platform socket programming APIsImplement techniques for supporting IPv4 and IPv6Understand how TCP and UDP connections work over IPDiscover how hostname resolution and DNS workInterface with web APIs using HTTP and HTTPSExplore Simple Mail Transfer Protocol (SMTP) for electronic mail transmissionApply network programming to the Internet of Things (IoT)Who this book is forIf you're a developer or a system administrator who wants to get started with network programming, this book is for you. Basic knowledge of C programming is assumed.

Build professional-grade full-stack web applications using C# and ASP.NET Core.

ASP.NET Core in Action, 3rd edition by Microsoft MVP Andrew Lock, is a fully updated edition, ideal for intermediate C# developers, and teaches you how to use your C# and .NET skills to build amazing cross-platform web applications. This revised bestseller reveals the latest .NET patterns, including minimal APIs and minimal hosting. Even if you have never worked with ASP.NET, you will soon start creating productive cross-platform web apps.

Features include:

Build minimal APIs for serving JSON to client-side applications Create dynamic, server-side rendered applications using Razor Pages User authentication and authorisation Store data using Entity Framework Core Unit and integration tests for ASP.NET Core applications Write custom middleware and components

About the technology

Developers love ASP.NET Core for its libraries and pre-built components that maximize productivity. This awesome web framework empowers you to build web applications using HTTP APIs, server-side rendered HTML, and long-running server processes - all by using the same familiar structure and components. Version 7.0 takes full advantage of new C# features, easy-to-build minimal APIs, and big performance upgrades.