Название: Understanding Variables and Data Types in jаvascript: A Beginner-Friendly Guide to Managing Data and Mastering Core jаvascript Concepts
Автор: Dargslan
Издательство: Dargslan Publishing
Год: 2025
Страниц: 756
Язык: английский
Формат: pdf, epub
Размер: 13.5 MB

Unlock the foundation of jаvascript programming and take your first confident steps into web development! Are you struggling to understand why your jаvascript code behaves unpredictably? Do concepts like hoisting, scope, and type coercion make your head spin? Or perhaps you're just starting your programming journey and want to build on rock-solid fundamentals? "Understanding Variables and Data Types in jаvascript" is the comprehensive guide that transforms jаvascript beginners into confident coders by focusing on what truly matters—how jаvascript manages data at its core. Unlike other programming books that overwhelm with advanced concepts before you've mastered the basics, this guide follows a carefully structured learning path. Each chapter builds upon the previous one, ensuring you develop a strong mental model of how jаvascript works with data. Whether you're preparing for a career in web development, enhancing your skills for professional growth, or simply exploring the world's most popular programming language, this book provides the solid foundation you need to tackle more advanced jаvascript concepts with confidence.

Название: Cross-Platform App Development with Python
Автор: Jasper Marl
Издательство: Jasper Marl
Год: 2025
Формат: pdf, epub
Страниц: 144
Размер: 13,15 Мб
Язык: английский

Introducing "Cross-Platform App Development with Python": your no-nonsense guide to building stunning, high-performance apps that run flawlessly on any device. This book isn't just another tutorial. It's a deep dive into the world of cross-platform development using the versatile Python language.

Название: BeeWare. Cross-Platform GUI Development with Python
Автор: Jasper Marl
Издательство: Jasper Marl
Год: 2025
Формат: epub, pdf
Страниц: 90
Размер: 22,44 Мб
Язык: английский

Tired of fighting with your code? You're a Pythonista. You love the elegance, the readability, the sheer joy of writing code that just works. But when it comes to building beautiful, user-friendly GUIs, you might feel like you're constantly battling a hydra. This book isn't just another dry technical manual. It's your guide to a revolution in GUI development. BeeWare empowers you to leverage the power of Python to craft stunning, responsive applications that seamlessly glide across Windows, macOS, Linux, Android, and even iOS.

Название: Getting Started with Docker and AI, Summer 2025 Edition
Автор: Nigel Poulton
Издательство: Leanpub
Год: May 2025
Страниц: 117
Язык: английский
Формат: epub (true), mobi (true)
Размер: 10.1 MB

Master Docker essentials and AI integration through a practical, project-driven guide that empowers developers and tech professionals to confidently build and deploy containerized applications. Once the basics are in place, the book moves into real-world usage. You’ll install Docker, run your first containers, and learn how to manage them with Docker Desktop. You’ll then containerize a simple web app, push images to Docker Hub, and build multi-container microservices applications using Docker Compose. These hands-on labs build both confidence and competency through guided, project-based learning. This newly updated edition adds a dedicated chapter on AI integration using the new Docker Model Runner. You'll deploy local AI models, integrate with Open WebUI, and see how Docker now powers modern AI workflows. This book is ideal for anyone looking to master Docker while also gaining experience in deploying containerized AI solutions.

Название: Multivariate Analysis and Machine Learning Techniques: Feature Analysis in Data Science Using Python
Автор: Srikrishnan Sundararajan
Издательство: Springer
Год: 2025
Страниц: 451
Язык: английский
Формат: pdf
Размер: 12.6 MB

This book offers a comprehensive first-level introduction to data analytics. The book covers multivariate analysis, AI / ML, and other computational techniques for solving data analytics problems using Python. The topics covered include (a) a working introduction to programming with Python for data analytics, (b) an overview of statistical techniques – probability and statistics, hypothesis testing, correlation and regression, factor analysis, classification (logistic regression, linear discriminant analysis, decision tree, support vector machines, and other methods), various clustering techniques, and survival analysis, (c) introduction to general computational techniques such as market basket analysis, and social network analysis, and (d) Machine Learning and Deep Learning. Many academic textbooks are available for teaching statistical applications using R, SAS, and SPSS. However, there is a dearth of textbooks that provide a comprehensiveintroduction to the emerging and powerful Python ecosystem, which is pervasive in Data Science and Machine Learning applications. The book offers a judicious mix of theory and practice, reinforced by over 100 tutorials coded in the Python programming language.

Название: Deep Learning for Physics Research using Python: A Comprehensive Guide to Modern AI Techniques in Scientific Discovery
Автор: Aarav Joshi
Издательство: 101 Books
Год: 2025
Страниц: 1597
Язык: английский
Формат: epub (true)
Размер: 12.3 MB

Deep Learning for Physics Research using Python: A Comprehensive Guide to Modern AI Techniques in Scientific Discovery is the definitive resource for physicists, researchers, and students seeking to harness the transformative power of Artificial Intelligence (AI) in scientific research. This comprehensive guide bridges the gap between cutting-edge Deep Learning methodologies and practical physics applications, providing hands-on implementation using Python and modern frameworks like TensorFlow, PyTorch, and Keras. The book systematically covers 14 essential chapters, from foundational neural network concepts to advanced architectures including Physics-Informed Neural Networks (PINNs), Graph Neural Networks, and Transformer models. Readers will master convolutional networks for detector data analysis, recurrent networks for time series physics, generative models for synthetic data creation, and uncertainty quantification techniques crucial for scientific validity. Each chapter features detailed Python implementations, real-world case studies from particle physics to climate modeling, and practical exercises with downloadable code and datasets.

Название: Large Language Model Using Tensorflow: A Complete TensorFlow Implementation Guide for Modern AI Development
Автор: Aarav Joshi
Издательство: 101 Books
Год: 2025
Страниц: 1470
Язык: английский
Формат: epub (true)
Размер: 12.2 MB

Large Language Model Using Tensorflow: A Complete TensorFlow Implementation Guide for Modern AI Development is the definitive hands-on guide for building state-of-the-art language models from the ground up using TensorFlow. This comprehensive resource takes you through every stage of LLM development, from understanding transformer architecture fundamentals to deploying production-ready models at scale. Unlike other theoretical treatments, this book provides practical, code-first instruction using TensorFlow's latest features and best practices. You'll master essential concepts including attention mechanisms, positional encoding, tokenization strategies, and advanced training techniques like mixed precision and distributed computing. The book covers critical topics such as instruction tuning, reinforcement learning from human feedback (RLHF), and parameter-efficient fine-tuning methods like LoRA. Whether you're a Machine Learning engineer, AI researcher, or data scientist, this book provides the practical expertise needed to build, train, and deploy your own large language models.

Название: Building Cross-Platform Games with Python and Kivy
Автор: Jasper Marl
Издательство: Jasper Marl
Год: 2025
Формат: epub, pdf
Страниц: 100
Размер: 27.3 Мб
Язык: английский

Tired of watching your game ideas gather dust on a notepad? You've got the spark, the vision, the burning desire to bring your game to life. But the thought of wrestling with complex game engines or learning a dozen different coding languages for each platform? Let's be honest, it can feel downright daunting. Building Cross-Platform Games with Python and Kivy: Build stunning games that run seamlessly on desktops, smartphones, and tablets – all with a single codebase.

Название: Python Web App Development Frameworks
Автор: Jasper Marl
Издательство: Jasper Marl
Год: 2025
Формат: epub, pdf
Страниц: 161
Размер: 17.6 Мб
Язык: русский

Tired of Building Web Apps from Scratch? You're a Python enthusiast, eager to dive into the world of web development. You've learned the basics of Python, maybe even dabbled in some basic web concepts, but the thought of building a full-fledged web application from the ground up feels daunting. Don't worry, you're not alone! Building a web application involves a lot of moving parts: handling HTTP requests, managing user sessions, interacting with databases, and ensuring security. It can be a steep learning curve, even for experienced programmers. That's where this book comes in.

Название: Design Patterns via C#. Приемы объектно-ориентированного проектирования
Автор: Шевчук А., Охрименко Д.
Издательство: Itvdn
Год: 2015
Страниц: 288
Формат: pdf
Размер: 12,6 мб
Качество: хорошее
Язык: русский

В книге очень четко, последовательно и структурировано, с примерами реализации в языке C# изложены базовые знания о шаблонах проектирования. Книга впитала в себя многолетний опыт обучения разработчиков применению шаблонов проектирования. В ней нет ничего лишнего, она послужит надежным помощником начинающим и опытным .NET разработчикам.