Название: Mastering Python Coding Interview VOL-I-II
Автор: Anshuman Mishra
Издательство: Independently published
Год: 2025
Страниц: 764+472
Язык: английский
Формат: epub
Размер: 10.1 MB

In today's fiercely competitive tech landscape, landing a job at a top-tier technology company requires more than just basic coding knowledge. Companies like Google, Amazon, Meta, and Microsoft rigorously test candidates across a spectrum of data structures, algorithms, system design, and practical problem-solving abilities. The key to succeeding in such technical interviews is focused, strategic preparation, especially using a language that supports fast prototyping and deep problem solving — Python. "Mastering Python Coding Interviews" is your ultimate guidebook, crafted specifically for intermediate to advanced Python developers who are serious about cracking coding interviews at FAANG companies and other top tech organizations. With a laser-focused 14-chapter structure, this book breaks down complex interview concepts into digestible learning units. It combines hands-on coding, strategic patterns, and conceptual mastery to help you not just solve problems but understand and internalize them. This book delivers a focused, chapter-wise roadmap designed for Python developers preparing for software engineering interviews.

Название: Mastering ROS2 and Python for Robotics: Develop Intelligent Autonomous Systems with Real-World Applications
Автор: Thompson Carter, Rafael Sanders, Miguel Farmer
Издательство: Lincoln Publishers
Год: 2025
Страниц: 496
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Take your robotics development skills to the next level with Mastering ROS2 and Python for Robotics, a comprehensive guide to designing, building, and deploying intelligent autonomous systems. Using Robot Operating System 2 (ROS2) and Python, this book provides hands-on experience in motion control, perception, AI-driven decision-making, and multi-robot collaboration for real-world applications. Python, known for its simplicity and versatility, has become the preferred language for robotics development. Whether you're automating tasks, integrating sensors, or designing intelligent algorithms, Python offers the tools and frameworks necessary to bring your robotic visions to life. This book is perfect for robotics engineers, software developers, AI enthusiasts, students, and researchers who want to master ROS2 and Python for building autonomous robotic systems.

Название: Agentic AI: Theories and Practices
Автор: Ken Huang
Издательство: Springer
Год: 2025
Страниц: 438
Язык: английский
Формат: pdf (true), epub
Размер: 26.8 MB

This book analyzes the rise and transformative impact of Generative AI agents or Agentic AI across industries, offering a comprehensive exploration of their development, applications, and implications. It highlights how these systems are revolutionizing business processes, enhancing decision-making, and reshaping entire sectors from finance to healthcare. It traces the evolution of AI agents from early programs to today’s sophisticated autonomous systems, providing a taxonomy of agent types. It then explores cutting-edge tools and frameworks for development, such as AutoGen, Langgraph, and CrewAI, offering practical insights for their deployment. Key focus areas include evaluating multiagent systems and coordination techniques, addressing challenges in communication, and conflict resolution. Bridging theoretical foundations and practical applications, the book offers valuable insights for data scientists, IT managers, CIOs, CAIOs, CTOs, business analysts, and graduate students seeking to understand and apply AI’s transformative potential across various industries.

Название: Nature-inspired Metaheuristic Algorithms: Solving Real World Engineering Problems
Автор: Sulabh Bansal, Aprna Tripathi, Shilpa Srivastava, Prem Prakash Vuppuluri
Издательство: CRC Press
Год: 2025
Страниц: 403
Язык: английский
Формат: pdf (true), epub
Размер: 37.1 MB

The purpose of this book is to provide various case studies where such nature-inspired techniques are used to solve optimization problems being faced by humans in their day-to-day life. The first chapter introduces metaheuristic algorithms and provides an overview of origins, important variants, and highlights the need and importance of metaheuristic optimization for providing solutions to real-world engineering problems. Chapter 2 provides a comprehensive overview of Quantum-Inspired Evolutionary Algorithms, detailing its foundational concepts, implementation techniques, and potential applications. Chapter 3 presents a detailed survey of various metaheuristic approaches and their application to the solution of a wide variety of single- and multi-objective engineering problems. Chapter 4 presents a hybrid system that combines lightweight encryption based on Genetic Algorithms. Chapter 5 explores the use of Genetic Algorithms (GA), Particle Swarm Optimization (PSO), and Ant Colony Optimization (ACO) for hyperparameter tuning of Convolution Neural Network (CNN) models to enhance the accuracy and efficiency of image classification models.

Название: Intelligent Continuous Security: AI-Enabled Transformation for Seamless Protection
Автор: Marc Hornbeek
Издательство: O’Reilly Media, Inc.
Год: 2025
Страниц: 399
Язык: английский
Формат: epub
Размер: 10.1 MB

With AI in the hands of cybercriminals, traditional security controls and response mechanisms are swiftly moving toward obsolescence. Intelligent Continuous Security (ICS) helps organizations stay toe-to-toe with adversaries, replacing outmoded defenses with a cohesive strategy that unifies security across the entire software lifecycle. Author Marc Hornbeek outlines the principles, strategies, and real-world implementations of ICS, including how to break down silos between DevSecOps and SecOps, how to measure and optimize security effectiveness, and how AI can transform everything from security operations to regulatory compliance. Security professionals, DevOps engineers, IT leaders, and decision-makers will learn how to move toward adaptive, self-healing defenses to keep pace with emerging risks.

Название: Automating Microsoft 365 with Python: Build Powerful Apps Using Microsoft Graph API
Автор: Dargslan
Издательство: Dargslan Publishing
Год: 2025
Страниц: 445
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Unlock the full potential of Microsoft 365 through the power of Python automation! Are you tired of repetitive tasks in Microsoft 365? Looking to streamline your workflow, boost productivity, and create custom solutions that perfectly fit your organization's needs? This comprehensive guide bridges the gap between Python's elegant simplicity and Microsoft 365's powerful ecosystem, teaching you how to automate everything from email management to Teams collaboration through practical, real-world examples. Python's simplicity, readability, and extensive ecosystem make it the perfect language for automation tasks. When combined with Microsoft Graph API—the unified endpoint for accessing Microsoft 365 data and services—Python becomes a powerful tool for creating custom solutions that can transform how organizations work. Whether you're a system administrator looking to automate user management, a developer building custom integrations, or a data analyst seeking to extract insights from organizational data, this book will equip you with the Python skills and knowledge needed to succeed.

Название: Crime-Related Events Identification Based on Text Analytics Approach
Автор: Orken Mamyrbayev, Nina Khairova, Waldemar Wójcik
Издательство: Routledge
Год: 2025
Страниц: 141
Язык: английский
Формат: pdf (true), epub (true)
Размер: 16.8 MB

As modern society is extremely dependent on the Internet, social networks, and developing technologies, a threat to the security of both the individual and society as a whole has emerged. The openness and global nature of the Internet create opportunities both for criminals, who can use the available information for criminal purposes, and for law enforcement officials. Police officers, in turn, can deal with the preventive processing of data from the Internet in order to prevent crimes. This type of data analysis can detect illegal or criminal actions even at the stage of their formation. Crime-Related Events Identification Based on Text Analytics Approach describes the possibilities of extracting crime-related facts from semi-structured information from various Internet sources so that crime can be combatted. This book is aimed at police officers and IT professionals working in online investigations. Integrating Machine Learning methods such as text classification, clustering, and Latent Semantic Analysis, this book highlights the potential of Artificial Intelligence (AI)‑driven approaches to improve public safety and address the limitations of traditional natural language processing (NLP) methods.

Название: GenAI on Google Cloud: Enterprise Generative AI Systems and Agents (Early Release)
Автор: Ayo Adedeji, Lavi Nigam, Sarita Joshi, Stephanie Gervasi
Издательство: O’Reilly Media, Inc.
Год: 2025-06-10
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

In today's AI landscape, success depends not just on using large language models but on moving them into production in a way that's scalable, compliant, and cost-effective. GenAI on Google Cloud: Enterprise Generative AI Systems and Agents is your hands-on guide to bridging that gap. Whether you're an ML engineer tackling your first multi-agent application or a product leader responsible for scaling a GenAI strategy, this book offers a practical game plan for taking your LLM applications from promising prototype to enterprise-grade solution. Written by practitioners with deep experience in MLOps, data engineering, and GenAI infrastructure, this guide takes you through real-world workflows using Google Cloud's Vertex AI—from training and deployment to monitoring and integration. With concrete examples, field-tested frameworks, and honest insights about what actually works, you'll learn how to build production systems that deliver measurable business value.

Название: Tensor Decompositions for Data Science
Автор: Grey Ballard, Tamara G. Kolda
Издательство: Cambridge University Press
Год: 2025
Страниц: 423
Язык: английский
Формат: pdf (true)
Размер: 34.5 MB

Tensors are essential in modern day computational and Data Science. This book explores the foundations of tensor decompositions, a data analysis methodology that is ubiquitous in Machine Learning, signal processing, chemometrics, neuroscience, Quantum Computing, financial analysis, social science, business market analysis, image processing, and much more. In this self-contained mathematical, algorithmic, and computational treatment of tensor decomposition, the book emphasizes examples using real-world downloadable open-source datasets to ground the abstract concepts. Methodologies for 3-way tensors (the simplest notation) are presented before generalizing to d-way tensors (the most general but complex notation), making the book accessible to advanced undergraduate and graduate students in mathematics, Computer Science, statistics, engineering, and physical and life sciences. Additionally, extensive background materials in linear algebra, optimization, probability, and statistics are included as appendices. We do not prescribe a specific computational platform, but everything described here can be computed using the Tensor Toolbox for MATLAB. Much of the same functionality is available in its Python clone, the Python Tensor Toolbox (PyTTB).

Название: Data Mining: Practical Machine Learning Tools and Techniques, 5th Edition
Автор: Ian H. Witten, Eibe Frank, Mark A. Hall, Christopher J. Pal, James R. Foulds
Издательство: Morgan Kaufmann/Elsevier
Год: 2026
Страниц: 688
Язык: английский
Формат: epub (true)
Размер: 27.5 MB

Data Mining: Practical Machine Learning Tools and Techniques, Fifth Edition, offers a thorough grounding in Machine Learning concepts, along with practical advice on applying these tools and techniques in real-world data mining situations. This highly anticipated new edition of the most acclaimed work on data mining and Machine Learning teaches readers everything they need to know to get going, from preparing inputs, interpreting outputs, evaluating results, to the algorithmic methods at the heart of successful data mining approaches. Machine Learning provides the technical basis of data mining. It is used to extract information from the raw data in databases—information ideally expressed in a comprehensible form and that can be used for a variety of purposes. The process is one of abstraction, taking the data, warts and all, and inferring whatever structure underlies it. This book is about the tools and techniques of Machine Learning that are used in practical data mining for finding and, if possible describing, structural patterns in data.