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Название: Modern Data Structures and Algorithms in Rust
Автор: Evan Pradipta Hardinatha, Jaisy Malikulmulki Arasy, Chevan Walidain
Издательство: RantAI Academy
Серия: Non-Numerical Series Book 2
Год: October 1, 2024
Страниц: 234
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

"Modern Data Structures and Algorithms in Rust" (DSAR) is a groundbreaking text that merges the time-honored concepts of data structures and algorithms with the modern, powerful features of the Rust programming language. Designed for both students and professionals, this book provides a deep dive into the fundamental (F), conceptual (C), and practical (P) implementation of algorithms, all while leveraging Rust’s unique capabilities for memory safety, concurrency, and performance. Explore the cutting-edge of software engineering with DSAR as your guide to mastering both theoretical and practical aspects of algorithm design in Rust. The book is meticulously structured in FCP way to cover a broad range of topics, from the fundamentals to advanced and specialized areas. It begins by introducing readers to Rust’s core principles, including its ownership model, which ensures memory safety without a garbage collector, and its concurrency model, which allows for safe and efficient parallel processing. These foundational concepts are crucial for understanding how Rust can be used to implement robust and efficient data structures and algorithms.

Название: jаvascript Programming For Frontend Developers: A Hands-on guide to Building Fast, Scalable And Interactive Web Applications with jQuery and Redux
Автор: Michael D. Taylor
Издательство: Independently published
Год: 2025
Страниц: 203
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Are you a frontend developer eager to take your skills to the next level? Do you dream of crafting dynamic, interactive web experiences that leave users impressed? In today's fast-paced web landscape, simply knowing HTML and CSS isn't enough. You need to master jаvascript, and this book is your ultimate guide to achieving that mastery. You might be overwhelmed by the sheer volume of jаvascript frameworks and libraries. Choosing the right tools and learning how to integrate them effectively can feel like navigating a maze. You're spending hours wrestling with outdated techniques and inefficient code, hindering your productivity and preventing you from building truly cutting-edge applications. "jаvascript Programming for Frontend Developers" cuts through the noise and focuses on the essential tools you need to build performant, scalable, and engaging web apps. This isn't your typical dry, academic textbook. It's a practical, hands-on guide packed with real-world examples and projects that you'll build alongside the author, step-by-step. The objective of this book is to furnish a clear, concise, and applicable understanding of jаvascript principles.

Название: Java Cookbook: Problems and Solutions for Java Developers, 5th Edition (Final Release)
Автор: Ian F. Darwin
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 749
Язык: английский
Формат: epub
Размер: 11.6 MB

As Java continues to evolve, this cookbook continues to grow in tandem with hundreds of hands-on recipes across a broad range of Java topics. Author Ian Darwin gets developers up to speed right away with useful techniques for everything from string handling and functional programming to network communication and AI. If you're familiar with any release of Java, this book will bolster your knowledge of the language and its many recent changes, including how to apply them in your day-to-day development. Each recipe includes self-contained code solutions that you can freely use, along with a discussion of how and why they work. Downloadable from GitHub, all code examples compile successfully. This updated edition covers changes up to and including Java 21. Java 21 is the current long-term supported (LTS) version, and Java 24 is the latest current release at the time of publication of this edition. I’m going to assume that you know the basics of Java. I won’t tell you how to println a string, nor how to write a class that extends another and/or implements an interface.

Название: Python Data Analysis and Visualization Using Seaborn: Hands-On Guide with Projects and Examples with Python
Автор: Stephen G Schmitt
Издательство: Independently published
Год: October 6, 2024
Страниц: 462
Язык: английский
Формат: epub
Размер: 10.16 MB

Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software. Visualization is an important part of storytelling, we can gain a lot of information from data by simply just plotting the features of data. Python provides a numerous number of libraries for data visualization, we have already seen the Matplotlib library in this article we will know about Seaborn Library. Seaborn is an amazing visualization library for statistical graphics plotting in Python. It provides beautiful default styles and color palettes to make statistical plots more attractive. It is built on top Matplotlib library and is also closely integrated with the data structures from Pandas. Seaborn aims to make visualization the central part of exploring and understanding data. It provides dataset-oriented APIs so that we can switch between different visual representations for the same variables for a better understanding of the dataset.

Название: Mathematics for Digital Science, Volume 1: Fundamentals
Автор: Gérard-Michel Cochard, Mhand Hifi
Издательство: Wiley-ISTE
Год: 2025
Страниц: 351
Язык: английский
Формат: pdf (true), epub
Размер: 36.2 MB

Over the past century, advancements in Computer Science have consistently resulted from extensive mathematical work. Even today, innovations in the digital domain continue to be grounded in a strong mathematical foundation. To succeed in this profession, both today's students and tomorrow’s computer engineers need a solid mathematical background. The goal of this book series is to offer a solid foundation of the knowledge essential to working in the digital sector. Across three volumes, it explores fundamental principles, digital information, data analysis, and optimization. Whether the reader is pursuing initial training or looking to deepen their expertise, the Mathematics for Digital Science series revisits familiar concepts, helping them refresh and expand their knowledge while also introducing equally essential, newer topics. Today, areas such as Artificial Intelligence, managing large datasets, and information security are at the heart of Computer Science research. Once again, it is evident that without a solid mathematical foundation, it is difficult to innovate in these areas.

Название: Multimodal Data Fusion for Bioinformatics Artificial Intelligence
Автор: Umesh Kumar Lilhore, Abhishek Kumar, Narayan Vyas, Sarita Simaiya
Издательство: Wiley-Scrivener
Год: 2025
Страниц: 396
Язык: английский
Формат: pdf (true)
Размер: 16.3 MB

Multimodal Data Fusion for Bioinformatics Artificial Intelligence is a must-have for anyone interested in the intersection of AI and bioinformatics, as it delves into innovative data fusion methods and their applications in ‘omics’ research while addressing the ethical implications and future developments shaping the field today. Multimodal Data Fusion for Bioinformatics Artificial Intelligence is an indispensable resource for those exploring how cutting-edge data fusion methods interact with the rapidly developing field of bioinformatics. Beginning with the basics of integrating different data types, this book delves into the use of AI for processing and understanding complex “omics” data, ranging from genomics to metabolomics. The revolutionary potential of AI techniques in bioinformatics is thoroughly explored, including the use of neural networks, graph-based algorithms, single-cell RNA sequencing, and other cutting-edge topics. The second half of the book focuses on the ethical and practical implications of using AI in bioinformatics. The applications of Machine Learning are gaining popularity in various fields day by day. Bioinformatics is one of the fields in which automated Machine Learning, AutoML, has great potential in the future. AutoML can be used to create the predictive models and find certain patterns in biological data.

Название: Beginning Python 3 with Claude 3
Автор: O. Campesato
Издательство: Mercury Learning and Information
Год: 2025
Страниц: 270
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.1 MB

This book is a comprehensive guide designed to teach the fundamentals of Python programming while introducing the exciting possibilities of Generative AI. Whether you're a novice or a developer looking to integrate Claude 3 into your workflow, this book offers a clear, step-by-step path to mastering Python and leveraging AI-driven code generation. It begins by covering Python fundamentals, including data types, string manipulation, loops, conditional logic, and exception handling. It then introduces Python collections, such as lists, dictionaries, and sets, along with their practical applications. Readers will explore essential Python libraries like NumPy and Pandas, learning how to manipulate data and perform advanced operations. The last two chapters cover Generative AI and Claude, distinguishing it from conversational AI and provides hands-on examples of Claude-generated Python code to solve various programming tasks. In essence, this book provides a modest bridge between the worlds of Python programming and AI, aiming to equip readers with the knowledge and skills to navigate both domains confidently.

Название: Generative AI for Financial Services: Challenges, anti-patterns, and best practices
Автор: Vikesh Pandey, Arnav Khare
Издательство: BPB Publications
Год: 2025
Страниц: 316
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Generative AI for Financial Services is a book targeted at any AI practitioner who wants to understand how Generative AI works on a fundamental level and extend that learning to risks, challenges, and opportunities in regulated industries like financial services. This book explores Generative AI and its applications in financial services. It starts by explaining key concepts, differences from traditional AI, and the Generative AI lifecycle. Readers learn about foundation models, transfer learning, and implementation strategies, including fine-tuning and training models. Practical use cases like improving customer experiences, automating ESG analysis, and optimizing contact centers are covered. The book also addresses challenges like model bias, ethics, and compliance while focusing on building trustworthy AI with fairness and accountability. Finally, it highlights MLOps and FMOps for efficient AI model deployment and management in production environments. The code samples given in the book are all Python based, so we expect the readers to have a basic level of understanding of Python programming language.

Название: Python for Bioinformatics: Using machine learning for drug discovery, cluster analysis, and phylogenetics
Автор: Parul Verma, Shahnaz Fatima
Издательство: BPB Publications
Год: 2025
Страниц: 256
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Python for Bioinformatics is an essential resource for anyone looking to integrate programming into their biological research. As the field of bioinformatics continues to expand, the ability to analyze vast amounts of biological data becomes increasingly crucial. This book introduces bioinformatics, blending Python programming with biological data analysis. It covers essentials like string handling, regular expressions, file I/O, and object-oriented programming. You will explore Biopython for sequence alignment, format parsing, and accessing biological databases. Learn data visualization with Matplotlib and apply bioinformatics techniques like sequence alignment and phylogenetic analysis. The final chapter includes hands-on mini-projects to solidify your understanding, making it a practical guide for mastering bioinformatics and Python in real-world applications. This book is ideal for students, researchers, and professionals in fields like biology, Computer Science, and biotechnology who seek to understand and apply bioinformatics techniques to analyze biological data and solve real-world problems.

Название: Methods and Applications of Artificial Intelligence: Dynamic Response, Learning, Random Forest, Linear Regression, Interoperability, Additive Manufacturing and Mechatronics, Volume 2
Автор: Abdelkhalak El Hami
Издательство: Wiley-ISTE
Год: 2025
Страниц: 245
Язык: английский
Формат: pdf (true)
Размер: 21.4 MB

Artificial Intelligence (AI) is currently one of the most talked-about technologies, both among scientists and in public media. Several factors have contributed to its development in recent years. The first is access to vast quantities of data, such as in the industrial field, the advent of Industry 4.0, which promotes automation and data sharing in several technologies. Another factor is the continuous improvement in computing power thanks to the development of ever more powerful processors and the optimization of algorithms. With these two limitations removed, the focus of most AI developments is on the quality of predictions. The integration of AI into the industrial domain represents an exciting new frontier for innovation. A significant number of advances in the field of AI rely on Machine Learning, an essential branch of this field. Machine Learning involves the development of algorithms and computer models that can learn from data. Unlike standard programs that follow strict instructions defined by programmers, Machine Learning systems can analyze data, detect diagrams and consequently adjust their behavior, while adapting to new information. AI and Machine Learning are closely interrelated.