Название: Effortless Automation with jаvascript: Build, Automate, and Streamline Tasks Without Prior Coding Experience
Автор: Andrew Davis
Издательство: Reedsy
Год: September 28, 2024
Страниц: 146
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Unlock the power of automation and skyrocket your productivity with "Effortless Automation with jаvascript"! Whether you're a business professional looking to streamline workflows or an individual seeking to simplify daily tasks, this groundbreaking guide is your key to mastering automation—no prior coding experience required. Dive into the world of jаvascript and discover how this versatile language can transform your approach to task management. At its core, automation is the use of technology to execute tasks automatically, eliminating the need for manual effort. This can involve anything from automating simple data entry tasks to orchestrating complex workflows that span multiple systems and applications. Automation is often driven by the desire to increase efficiency, reduce errors, and free up human resources for more strategic and creative activities. The jаvascript ecosystem is vast, boasting numerous libraries and frameworks that facilitate automation. Tools like Puppeteer enable browser automation, while others, like Node.js’s built-in modules, provide capabilities for file handling, HTTP requests, and scheduling tasks.

Название: Vision Language Models: Building VLMs with Hugging Face (Early Release)
Автор: Merve Noyan, Miquel Farré, Andrés Marafioti, Orr Zohar
Издательство: O’Reilly Media, Inc.
Год: 2025-06-10
Язык: английский
Формат: epub
Размер: 10.1 MB

Vision-language models (VLMs) combine computer vision and natural language processing (NLP) to create powerful systems that can interpret, generate, and respond in multimodal contexts. Vision Language Models is a hands-on guide to building real-world VLMs using the most up-to-date stack of Machine Learning tools from Hugging Face, Meta (PyTorch), Nvidia (cuda), OpenAI (Clip), and others, written by leading researchers and practitioners Merve Noyan, Miquel Farras, Andres Marafioti, and Orr Zohar. From image captioning and document understanding to advanced zero-shot inference and retrieval-augmented generation (RAG), this book covers the full VLM application and development lifecycle.

Название: Data Science with Python: From Data Manipulation to Machine Learning
Автор: Aria B
Издательство: Independently published
Год: December 17, 2024
Страниц: 146
Язык: английский
Формат: pdf
Размер: 31.7 MB

"Data Science with Python: From Data Manipulation to Machine Learning" is a comprehensive guide designed for aspiring data scientists and professionals looking to enhance their Data Science skills using Python. This ebook covers the entire data science workflow, from data manipulation and visualization to building and deploying Machine Learning models. Whether you're a beginner or an experienced practitioner, this guide provides valuable insights and practical examples to help you master Data Science with Python.

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.