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Название: Getting to Know Mobile GIS
Автор: Pinde Fu
Издательство: Esri Press
Год: 2025
Страниц: 286
Язык: английский
Формат: epub (true)
Размер: 16.6 MB

Getting to Know Mobile GIS empowers readers to creatively use Mobile GIS and drive innovation in this fast-advancing field. "Mobile first" and the "post-PC era" aren't just buzzwords; they represent today's reality. Within the GIS industry, the mobile internet and Mobile GIS have transformed how we acquire, visualize, analyze, and disseminate geospatial information. With its ubiquitous use and location-aware capabilities, the mobile platform is an essential part of enterprise GIS across industries, making Mobile GIS crucial to the business operations and future success of wide-ranging organizations. Getting to Know Mobile GIS is a comprehensive resource covering the Esri suite of ArcGIS mobile technologies, including native-based apps such as ArcGIS Survey123, ArcGIS Field Maps, ArcGIS QuickCapture, and browser-based apps such as ArcGIS Dashboards and Experience Builder. Readers can also acquire advanced skills to extend Mobile GIS using ArcGIS Arcade, Webhooks, HTML, CSS, jаvascript, and the ArcGIS Maps SDKs.

Название: AI Agents in Action
Автор: Micheal Lanham
Издательство: Manning Publications
Год: 2025
Страниц: 346
Язык: английский
Формат: pdf (true), epub (true)
Размер: 30.0 MB, 33.6 MB

Create LLM-powered autonomous agents and intelligent assistants tailored to your business and personal needs. From script-free customer service chatbots to fully independent agents operating seamlessly in the background, AI-powered assistants represent a breakthrough in machine intelligence. In AI Agents in Action, you'll master a proven framework for developing practical agents that handle real-world business and personal tasks. You won't find toy examples or fragile assistants that require constant supervision. AI Agents in Action teaches you to build trustworthy AI capable of handling high-stakes negotiations. In AI Agents in Action, you’ll learn how to build production-ready assistants, multi-agent systems, and behavioral agents. You’ll master the essential parts of an agent, including retrieval-augmented knowledge and memory, while you create multi-agent applications that can use software tools, plan tasks autonomously, and learn from experience. As you explore the many interesting examples, you’ll work with state-of-the-art tools like OpenAI Assistants API, GPT Nexus, LangChain, Prompt Flow, AutoGen, and CrewAI. For intermediate Python programmers.

Название: The Well-Grounded Data Analyst: Solve messy data problems like a pro
Автор: David Asboth
Издательство: Manning Publications
Год: 2025
Страниц: 474
Язык: английский
Формат: pdf (true), epub (true)
Размер: 24.9 MB, 69.7 MB

Complete eight Data Science projects that lock in important real-world skills—along with a practical process you can use to learn any new technique quickly and efficiently. Data analysts need to be problem solvers—and The Well-Grounded Data Analyst will teach you how to solve the most common problems you'll face in industry. You'll explore eight scenarios that your class or bootcamp won’t have covered, so you can accomplish what your boss is asking for. The Well-Grounded Data Analyst is for junior and early-career data analysts looking to supplement their foundational data skills with real-world problem solving. As you explore each project, you'll also master a proven process for quickly learning new skills developed by author and Half Stack Data Science podcast host David Asboth. You'll learn how to determine a minimum viable answer for your stakeholders, identify and obtain the data you need to deliver, and reliably present and iterate on your findings. The book can be read cover-to-cover or opened to the chapter most relevant to your current challenges. As for most solutions I provide, the code itself will be written in Python, primarily using the Pandas library.

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: Аналитика в Power BI с помощью R и Python
Автор: Уэйд Р.
Издательство: ДМК Пресс
Год: 2021
Cтраниц: 338
Формат: pdf
Размер: 17 мб
Язык: русский

Данная книга поможет вам научиться использовать языки программирования R и Python в аналитике совместно с Microsoft Power BI. Эксперт в области анализа данных и автор книги Райан Уэйд продемонстрирует на примерах, как можно легко и просто применить R и Python там, где стандартных средств Power BI просто недостаточно.