Название: Coding & Programming User Manual - Issue 6, 2025
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2025
Страниц: 145
Язык: английский
Формат: pdf
Размер: 72.0 MB

Coding is everywhere. From your TV through to the International Space Station, you'll find millions of lines of code controlling and delivering the services that we take for granted. Behind all this code are the programmers who develop our digital world, using a multitude of different languages to weave the fabric of the Internet, operating systems, games and modern entertainment. We show you the fundamentals for Python, Linux, Raspberry Pi and C++, four of the most powerful languages in the world that are used by the likes of NASA, Microsoft, Apple and throughout the Internet. You will find ideas, concepts, tutorials, hints and projects that will take you from being a beginner to an advanced programmer able to form your own code. Your programming journey starts here...

Название: Docker Deep Dive: Zero to Docker in a single book! (2025 Edition)
Автор: Nigel Poulton
Издательство: Leanpub
Год: 2025-01-05
Страниц: 282
Язык: английский
Формат: pdf (true), epub (true)
Размер: 42.5 MB

Where would you be if you hadn't surfed the virtualization wave? Probably not a good place! Well... another wave is on us - the containerization wave - and if you don't surf this one you're probably gonna drown. This book is your instruction manual on how to surf the containerization wave! Starting from scratch, you'll learn what containers are, how to start them, stop them, and delete them. You'll learn how to run applications in them and manage it all at scale. You'll also learn the theory of how it all works and plugs together behind the scenes so that you don't just know the right commands, but you also know what's going on behind the scenes. This edition was published in January 2025 and is up to date with the latest industry trends and the latest enhancements to Docker. The technical stuff section covers everything you need to know about images, containers, multi-container microservices apps, and the increasingly important topic of orchestration. It even covers WebAssembly, AI, vulnerability scanning, debugging containers, high availability, and more.

Название: Getting Started with Docker and AI (2025 Edition)
Автор: Nigel Poulton
Издательство: Leanpub
Год: 2025-02-18
Страниц: 117
Язык: английский
Формат: pdf (true), epub
Размер: 19.6 MB

Brought to you by best-selling author and global training guru Nigel Poulton, Getting Started with Docker is the fastest way to wrap your head around Docker and containers, and get your hands-on deploying a multi-container apps. When you've finished the book, you'll be ready to rock 'n' roll with Docker. Do you need to lear Docker, and do you like learning through hands-on? If yes, this is the book for you... Getting Started with Docker, brought to you by best-selling author Nigel Poulton, assumes zero prior experience and gets you to the point you can containerize and deploy a simple multi-container app. Artificial Intelligence (AI) is everywhere, and businesses are increasingly using Docker to develop and deploy local AI apps. In this book, you’ll use the skills you’ve learned in previous chapters to deploy an AI chatbot to your local computer via Docker Compose. The whole thing will run locally in Docker containers, and none of your data or chatbot interactions will leave your local machine.

Название: Machine Learning for Tabular dаta: XGBoost, Deep Learning, and AI (Final Release)
Автор: Mark Ryan, Luca Massaron
Издательство: Manning Publications
Год: 2025
Страниц: 504
Язык: английский
Формат: True/Retail PDF, True/Retail ePUB
Размер: 74.3 MB

Machine Learning for Tabular Data covers classic Machine Learning techniques like gradient boosting, and more contemporary Deep Learning approaches. By the time you’re finished, you’ll be equipped with the skills to apply Machine Learning to the kinds of data you work with every day. Machine Learning can accelerate everyday business chores like account reconciliation, demand forecasting, and customer service automation—not to mention more exotic challenges like fraud detection, predictive maintenance, and personalized marketing. This book shows you how to unlock the vital information stored in spreadsheets, ledgers, databases and other tabular data sources using gradient boosting, Deep Learning, and Generative AI. Machine Learning for Tabular Data delivers practical ML techniques to upgrade every stage of the business data analysis pipeline. In it, you’ll explore examples like using XGBoost and Keras to predict short-term rental prices, deploying a local ML model with Python and Flask, and streamlining workflows using large language models (LLMs). Along the way, you’ll learn to make your models both more powerful and more explainable. For readers experienced with Python and the basics of Machine Learning.

Название: Graph Neural Networks in Action (Final Release)
Автор: Keita Broadwater, Namid Stillman
Издательство: Manning Publications
Год: 2025
Страниц: 394
Язык: английский
Формат: pdf (true)
Размер: 18.3 MB

A hands-on guide to powerful graph-based Deep Learning models. Graph Neural Networks in Action teaches you to create powerful Deep Learning models for working with graph data. You’ll learn how to both design and train your models, and how to develop them into practical applications you can deploy to production. Go hands-on and explore relevant real-world projects as you dive into graph neural networks perfect for node prediction, link prediction, and graph classification. Inside this practical guide, you’ll explore common graph neural network architectures and cutting-edge libraries, all clearly illustrated with well-annotated Python code. There are now several GNN libraries in the Python ecosystem, including PyTorch Geometric (PyG), Deep Graph Library (DGL), GraphScope, and Jraph. We focus on PyG, which is one of the most popular and easy-to-use frameworks, written on top of PyTorch. The book provides a survey of the most relevant implementations of GNNs, including graph convolutional networks (GCNs), graph autoencoders (GAEs), graph attention networks (GATs), and graph long short-term memory (LSTM). The aim is to cover the GNN tasks mentioned earlier. For Python programmers familiar with Machine Learning and the basics of Deep Learning.

Название: Terraform in Depth: Infrastructure as Code with Terraform and OpenTofu (Final Release)
Автор: Robert Hafner
Издательство: Manning Publications
Год: 2025
Страниц: 505
Язык: английский
Формат: pdf (true)
Размер: 58.4 MB

An in-depth guide to everything Terraform, complete with newly established best practices and experienced insights into Infrastructure as Code. Terraform and its open-source fork OpenTofu’s “Infrastructure as Code (IaC)” approach has redefined the way you manage your infrastructure. Its premise is simple-yet-awesome: provision, update, scale, and replicate your infrastructure with the same ease as your application code. In Terraform in Depth, you’ll discover absolutely everything you need to automate and manage your infrastructure with just a few lines of code. The CLI is very heavily entwined with Terraform itself. The Terraform core is built into the CLI and can only be accessed by the CLI. CI/CD systems that run Terraform, such as HCP Terraform or Spacelift, are built around either the Terraform or OpenTofu CLI and call it directly. This differs from other languages like Go or C where you can compile code, but it is similar to interpreted languages such as Python or Node where you need a tool to run the programs. For most developers, the CLI is going to be used extensively even if they also have CI/CD systems available. This book includes examples using the CLI as new topics are introduced. For sysadmins, software developers, and cloud engineers familiar with the CLI.

Название: Building Event-Driven Microservices: Leveraging Organizational Data at Scale, 2nd Edition (Early Release)
Автор: Adam Bellemare
Издательство: O’Reilly Media, Inc.
Год: 2025-02-19
Страниц: 120
Язык: английский
Формат: epub
Размер: 10.1 MB

Event-driven microservices offer an optimal approach to harnessing event streams, reacting and responding to changes as they occur across your company. With this fully revised and updated guide, you'll learn how to build event streams, then apply the principles of event-driven architecture to create powerful microservice applications for your organization. Author Adam Bellemare takes you through the process of creating event-driven microservice architectures, from first principles all the way to advanced applications. Covering event design, modeling, production, and consumption, this book will show you powerful and reusable patterns for generating and accessing data all across your organization.

Название: Considerations on the AI Endgame: Ethics, Risks and Computational Frameworks
Автор: Soenke Ziesche, Roman V. Yampolskiy
Издательство: CRC Press
Серия: Chapman & Hall/CRC Artificial Intelligence and Robotics Series
Год: 2025
Страниц: 222
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This seminal volume offers an interdisciplinary exploration into the rapidly evolving field of artificial intelligence and its societal implications. Written by leading scholars Soenke Ziesche and Roman V. Yampolskiy, the book delves into a multitude of topics that address the rapid technological advancements in AI and the ethical dilemmas that arise as a result. The topics explored range from an in-depth look at AI welfare science and policy frameworks to the mathematical underpinnings of machine intelligence. These subjects include discussions on preserving our personal identity in technological contexts as well as on the question of AI identity, innovative proposals towards the critical AI value alignment problem and a call to merge Western and non-Western approaches towards universal AI ethics. The work also introduces unconventional yet crucial angles, such as the concept of "ikigai" in AI ethics and a pioneering attempt to map a potential AI-driven ikigai universe as well as the role of design formalisation, or "Designometry," in the creation of artefacts. By offering a balanced mix of theoretical and applied insights, the book serves as an invaluable resource for researchers, policymakers and anyone interested in the future of AI and the extent of its impact on society.

Название: Mastering Kotlin in 30 Days: From Fundamentals to Advanced Android Development
Автор: Rover Mildreds
Издательство: Independently published
Год: September 24, 2024
Страниц: 327
Язык: английский
Формат: epub
Размер: 40.3 MB

Mastering Kotlin in 30 Days is your ultimate guide to learning Kotlin programming from the ground up. Whether you’re a seasoned developer transitioning to Kotlin or a beginner eager to explore this modern language, this book is designed to equip you with the knowledge and skills needed to master Kotlin for professional use, particularly in Android development. Kotlin is rapidly becoming the go-to language for Android developers, favored for its clarity, safety features, and seamless interoperability with Java. This comprehensive guide breaks down complex programming concepts into clear, manageable sections, making it easy to absorb the fundamentals and advance to more complex topics. One of the key benefits of Kotlin is its interoperability with Java, which allows developers to seamlessly integrate Kotlin code with existing Java projects. This means that developers can gradually migrate their codebases to Kotlin without having to rewrite their entire application from scratch. Kotlin also offers a range of features that are not available in Java, such as extension functions, higher-order functions, and null safety, which help developers write more concise and robust code.

Название: Mastering Grid Computing: Scheduling and Resource Management
Автор: Ankita, Sudip Kumar Sahana
Издательство: Apple Academic Press/CRC Press
Год: 2025
Страниц: 222
Язык: английский
Формат: pdf (true), epub
Размер: 40.5 MB

The book incorporates different scheduling algorithms, including traditional and non-traditional (bio-inspired) methods, to solve grid scheduling problems. Grid computing, a computing infrastructure that combines computer resources spread over different geographical locations to achieve a common goal, is seen as an efficient solution to solve complex real-world computer problems in a shorter time. Grid computing makes it easier to collaborate with other organizations, makes better use of existing hardware, and reduces transmission congestion, leading to more efficient electricity markets, improved power quality, and a reduced environmental impact. A large number of scheduling algorithms are available, but choosing an optimal algorithm is important. In this book, we have studied several scheduling algorithms such as First Come First Serve (FCFS), Shortest Job First (SJF), Ant Colony Optimization (ACO), Particle Swarm Optimization (PSO), Genetic Algorithm (GA), and a few hybrid algorithms. The efficiency of these algorithms has been calculated using a standard workload, and a comparative analysis has been carried out to study the behavior of all these algorithms under different job counts.