Название: Effective Python: 125 Specific Ways to Write Better Python, 3rd Edition (Early Release)
Автор: Brett Slatkin
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2024
Страниц: 1154
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Master the art of Python programming with 125 actionable best practices to write more efficient, readable, and maintainable code. Python is a versatile and powerful language, but leveraging its full potential requires more than just knowing the syntax. Effective Python: 125 Specific Ways to Write Better Python, 3rd Edition is your comprehensive guide to mastering Python's unique strengths and avoiding its hidden pitfalls. This updated edition builds on the acclaimed second edition, expanding from 90 to 125 best practices that are essential for writing high-quality Python code. Drawing on years of experience at Google, Brett Slatkin offers clear, concise, and practical advice for both new and experienced Python developers. Each item in the book provides insight into the "Pythonic" way of programming, helping you understand how to write code that is not only effective but also elegant and maintainable. Whether you're building web applications, analyzing data, writing automation scripts, or training AI models, this book will equip you with the skills to make a significant impact using Python.

Название: Intelligent Computer Mathematics: 17th International Conference, CICM 2024
Автор: Andrea Kohlhase, Laura Kovács
Издательство: Springer
Серия: Lecture Notes in Artificial Intelligence
Год: 2024
Страниц: 367
Язык: английский
Формат: pdf (true), epub
Размер: 50.2 MB

This book constitutes the refereed proceedings of the 17th International Conference on Intelligent Computer Mathematics, CICM 2024, held in Montréal, Québec, Canada, during August 5–9, 2024. The 21 full papers presented were carefully reviewed and selected from 28 submissions. These papers have been categorized into the following sections: AI and LLM; Proof Assistants; Logical Frameworks and Transformations; Knowledge Representation and Certification; Proof Search and Formalization & System Descriptions. The Conference on Intelligent Computer Mathematics (CICM) brings together the many separate communities that have developed theoretical and practical solutions for mathematical applications in Artificial Intelligence, computation, deduction, knowledge management, or user interfaces. This paper explores the potential of leveraging Large Language Models (LLMs) for the tasks of automated annotation and Part-of-Math (POM) tagging of equations. Traditional methods for math term annotation and POM tagging rely heavily on manually crafted rules and limited datasets, which often result in scalability issues and insufficient adaptability to new domains. In contrast, LLMs, with their vast knowledge and advanced natural language understanding capabilities, present a promising alternative. Our methodology involves crafting prompts for LLMs to elicit answers that can be read as key-value pairs where the keys are math terms and the values are the corresponding annotations.

Название: Intermediate Vulkan Programming: Building 3D Graphics, 2nd Edition
Автор: Frahaan Hussain, Kameron Hussain
Издательство: Sonar Publishing
Год: 2024
Страниц: 234
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Dive deep into the world of 3D graphics with "Intermediate Vulkan Programming: Building 3D Graphics, 2nd Edition." This comprehensive guide is perfect for developers who have a basic understanding of Vulkan and are looking to enhance their skills. This edition provides an updated and thorough exploration of Vulkan's powerful capabilities, helping you create stunning 3D graphics with precision and efficiency. The book covers advanced techniques and best practices for leveraging the Vulkan API, including memory management, synchronization, and multi-threading. Detailed explanations and practical examples will guide you through the process of building a fully functional 3D engine. You will learn how to handle complex rendering tasks, optimize performance, and create immersive graphical experiences. One of the key features of Vulkan is its ability to handle multiple threads efficiently. Traditional graphics APIs like OpenGL are typically single-threaded, which can become a bottleneck in multi-core systems. Vulkan, however, is designed from the ground up to leverage multi-threading, allowing different parts of the application to execute concurrently and utilize all available CPU cores effectively.

Название: Quick Start Guide to Large Language Models: Strategies and Best Practices for Using ChatGPT and Other LLMs (Final)
Автор: Sinan Ozdemir
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2024
Страниц: 281
Язык: английский
Формат: True/Retail (PDF EPUB)
Размер: 43.2 MB

The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products. Large Language Models (LLMs) like ChatGPT are demonstrating breathtaking capabilities, but their size and complexity have deterred many practitioners from applying them. InQuick Start Guide to Large Language Models, pioneering data scientist and AI entrepreneur Sinan Ozdemir clears away those obstacles and provides a guide to working with, integrating, and deploying LLMs to solve practical problems. Ozdemir brings together all you need to get started, even if you have no direct experience with LLMs: step-by-step instructions, best practices, real-world case studies, hands-on exercises, and more. Along the way, he shares insights into LLMs' inner workings to help you optimize model choice, data formats, parameters, and performance. You'll find even more resources on the companion website, including sample datasets and code for working with open- and closed-source LLMs such as those from OpenAI (GPT-4 and ChatGPT), Google (BERT, T5, and Bard), EleutherAI (GPT-J and GPT-Neo), Cohere (the Command family), and Meta (BART and the LLaMA family). Who is this book for, you ask? Well, my answer is simple: anyone who shares a curiosity about LLMs, the willing coder, the relentless learner. Whether you’re already entrenched in Machine Learning or you’re on the edge, dipping your toes into this vast ocean, this book is your guide, your map to navigate the waters of LLMs. However, I’ll level with you: To get the most out of this journey, having some experience with Machine Learning and Python will be incredibly beneficial.

Название: The LLM Mesh: A Practical Guide to Using Generative AI in the Enterprise (Early Release)
Автор: Kurt Muehmel
Издательство: O’Reilly Media, Inc.
Год: 2024-08-02
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

In the rapidly evolving landscape of Generative AI and particularly large language models (LLMs), organizations are poised to create groundbreaking applications. However, the lack of oversight, governance, and centralization often stymies the deployment of LLM-based applications. For organizations eager to harness the full potential of LLMs, overcoming these hurdles is essential—not only for operational success but also to stay ahead in a competitive market. This tech guide introduces the LLM Mesh, an architecture paradigm that ensures modular development, centralized administration, and auditing of LLM applications. It allows companies not only to keep pace with rapid changes and new market entrants but also to maintain independence from any single provider. Through detailed instructions and expert advice, learn how to abstract applications from LLM services, integrate robust security measures, manage compliance, and optimize costs and performance across various platforms.

Название: Python's Scales and Tales: The Slithering Saga of Magical Coding
Автор: Kiki Holland
Издательство: Independently published
Серия: Hackily Ever Afters
Год: 2024
Страниц: 104
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Python's Scales and Tales is a delightful first installment in the Hackily Ever Afters series, blending whimsical fairy tales, engaging poems, and jokes with essential Python programming concepts. This entertaining and educational book serves as a fun-filled introduction to the world of Python, offering students a unique way to learn and retain information. Each captivating story within Python's Scales and Tales weaves together fairy tale charm with practical Python topics, making complex subjects approachable and memorable. Accompanying poems add an extra layer of creativity to the learning process, while playful jokes ensure students stay engaged and entertained throughout their exploration of Python. Perfect for curious minds eager to embark on a coding adventure, Python's Scales and Tales combines the magic of storytelling with the power of computer science education, providing readers with a one-of-a-kind journey into the enchanting world of Python programming.

Название: Learning TypeScript 5: Go beyond jаvascript to build more maintainable and robust web applications for large-scale projects
Автор: Anna Richter
Издательство: GitforGits
Год: 2024
Страниц: 451
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Programmers familiar with jаvascript who wish to learn more about TypeScript version 5.0 will find this book to be a resource of great value This book is ideal for developers who want to improve their front-end programming skills and integrate TypeScript with popular frameworks such as Angular and React. With clear explanations and hands-on examples, this book makes the transition from jаvascript to TypeScript easy and enjoyable. The book covers fundamental concepts such as static typing, type checking, and type inference, which will help you write more reliable and maintainable code. You'll learn how to use TypeScript's features to improve your development process, reduce bugs, and increase code quality. You'll learn about TypeScript's advanced features, such as interfaces, modules, and type narrowing techniques, through hands-on examples. To help you write more efficient and clean code, this book also covers how to use async/await and Promises to deal with asynchronous operations. "Learning TypeScript 5" offers solutions and troubleshooting techniques for the most common TypeScript challenges that developers face. You'll find out how to make your own error classes for different situations and how to use TypeScript's try/catch blocks to manage errors effectively. Integrating TypeScript with existing jаvascript applications, configuring the TypeScript compiler, and setting up TypeScript projects are all covered in the book. After finishing this book, you will have the knowledge and abilities to create scalable applications with TypeScript and work with frameworks such as Angular and React with ease. This book is ideal for developers who want to improve their front-end programming skills and integrate TypeScript with popular frameworks such as Angular and React. With clear explanations and hands-on examples, this book makes the transition from jаvascript to TypeScript easy and enjoyable.

Название: Driving Value with Sprint Goals: Humble Plans, Exceptional Results (Final)
Автор: Maarten Dalmijn
Издательство: Pearson Education/Addison-Wesley Professional
Год: 2024
Страниц: 256
Язык: английский
Формат: True/Retail (PDF EPUB)
Размер: 31.4 MB

Leverage Sprint Goals to Supercharge Teamwork and Build Winning Products. There are many books on Scrum and how to do Scrum the right way. This isn't one of those books.Driving Value with Sprint Goals will teach you how to deliver exceptional value. To build great products, all teams and participants must align behind clear goals that deliver real value (outcomes)—not just more features (output). Sprint Goals are your most powerful tool for achieving this alignment, but many teams avoid, misuse, or struggle with them. Maarten Dalmijn guides you through defining, creating, and executing on Sprint Goals that deliver outstanding value to customers and the business. This concise guide is packed with strategies and concepts for building high-performing teams that accelerate the delivery of value. As you reconsider critical Scrum and product management processes through the lens of the Sprint Goal, you can transform your entire organization from being low-value "feature factories" to delivering high-value outcomes. Driving Value with Sprint Goals will reshape the way you think about delivering value by offering a fresh and cohesive perspective invaluable to every Product Owner, Product Manager, Scrum Master, Agile Coach, and tech executive.

Название: The Quantum Evolution: Application of AI and Robotics in the Future of Quantum Technology
Автор: Alex Khang, Kali Charan Rath
Издательство: CRC Press
Год: 2025
Страниц: 556
Язык: английский
Формат: pdf (true)
Размер: 17.1 MB

The book offers a comprehensive exploration of the fusion between quantum technology, Artificial Intelligence (AI), and robotics, providing readers with a deep understanding of the interplay between these fields and the transformative potential they hold. The Quantum Evolution: Application of AI and Robotics in the Future of Quantum Technology uncovers the potential of quantum algorithms to tackle complex computational problems exponentially faster than classical counterparts. Readers are introduced to quantum machine learning and its potential to revolutionize AI by enabling more efficient data analysis, pattern recognition, and decision-making. The book explores the potential applications of quantum-inspired neural networks and how they can enhance the capabilities of AI systems, ushering in a new era of intelligent machines. It also delves into the potential risks and challenges associated with quantum technology integration, such as quantum security and privacy concerns. The book showcases numerous real-world applications and examples of how quantum technology, AI, and robotics are being utilized today, giving readers concrete insights into how these advancements are shaping industries, health care, communication, and more. Quantum computing and quantum machine learning represent two of the most cutting-edge and transformative felds in the realm of technology and Artificial Intelligence. As quantum computing continues to advance, it promises to revolutionize the world of computing by harnessing the unique properties of quantum mechanics to perform computations at speeds that were once considered unimaginable. In parallel, quantum machine learning emerges as an interdisciplinary field that combines the principles of quantum physics with the capabilities of Machine Learning, offering the potential to solve complex problems that were previously insurmountable for classical computers. This merging of quantum technology and Artificial Intelligence opens up a realm of possibilities for industries ranging from healthcare and finance to cryptography and optimization.

Название: CompTIA DataX Study Guide: Exam DY0-001
Автор: Fred Nwanganga
Издательство: Sybex
Год: 2024
Страниц: 416
Язык: английский
Формат: epub (true)
Размер: 14.5 MB

Demonstrate your Data Science skills by earning the brand-new CompTIA DataX credential. In CompTIA DataX Study Guide: Exam DY0-001, data scientist and analytics professor, Fred Nwanganga, delivers a practical, hands-on guide to establishing your credentials as a Data Science practitioner and succeeding on the CompTIA DataX certification exam. In this book, you'll explore all the domains covered by the new credential, which include key concepts in mathematics and statistics; techniques for modeling, analysis and evaluating outcomes; foundations of Machine Learning; Data Science operations and processes; and specialized applications of Data Science. This up-to-date Study Guide walks you through the new, advanced-level Data Science certification offered by CompTIA and includes hundreds of practice questions and electronic flashcards that help you to retain and remember the knowledge you need to succeed on the exam and at your next (or current) professional Data Science role. Data Science is an interdisciplinary field that has rapidly evolved to become a cornerstone of modern business, research, and technology. At its core, Data Science integrates principles from statistics, mathematics, Computer Science, and domain-specific knowledge to unlock insights that can drive decision-making and innovation. Statistics and mathematics provide the foundational framework for data analysis, enabling data scientists to summarize data, test hypotheses, and draw inferences. Computer Science, particularly in areas such as algorithms, data structures, database management, and programming, is essential for handling and processing data efficiently. Domain expertise, meanwhile, is crucial for understanding the context of the data and interpreting the results in a meaningful way.