Название: Многозадачность в Python. Многопоточное программирование
Автор: Шибаев Александр
Издательство: Stepik
Год: 2023
Формат: DOCX
Страниц: много
Размер: 3.8 Mb
Язык: Русский

Все о многопоточном программировании на Python в теории и на практике от А до Я. Создание потоков, работа с пулом потоков, курс полностью раскрывает тему поточной многозадачности.

Название: Bash Scripting for Cybersecurity: Mastering Bash for Next-Generation Security Operations
Автор: Jeffery Owens
Издательство: Independently published
Год: 2024
Страниц: 101
Язык: английский
Формат: pdf
Размер: 16.4 MB

Are you ready to supercharge your cybersecurity skills and become a scripting master?Introducing "Bash Scripting for Cybersecurity." This comprehensive guide is your key to unlocking the full potential of Bash scripting in the world of modern cybersecurity. In this book, you'll explore the power of Bash scripting, a must-have skill for security professionals. Learn how to automate security tasks, enhance your analysis, and strengthen your defenses with Bash. Covering everything from Bash essentials and scripting fundamentals to real-time monitoring, incident response automation, and DevSecOps integration. This book aims to take you from a novice to an experienced scripter and equip you with the knowledge and techniques to excel in the ever-evolving field of cybersecurity. Don't miss out on this opportunity to elevate your cybersecurity game. Grab your copy of "Bash Scripting for Cybersecurity" and join the ranks of scripting experts!

Название: Learn Concurrent Programming with Go (Final)
Автор: James Cutajar
Издательство: Manning Publications
Год: 2024
Страниц: 392
Язык: английский
Формат: epub
Размер: 16.6 MB

Write concurrent code in Go that improves application performance, scales up to handle bigger loads, and takes full advantage of modern multi-processor hardware. Learn Concurrent Programming with Go teaches you how to use concurrency to improve the performance of your Go applications. Each chapter poses a new problem that can be solved using concurrency and introduces the right approach to implement it in Go. In this easy-to-read tutorial, you’ll delve into concurrency patterns, learn to dodge the most common pitfalls, and take advantage of Go’s innovative approach to concurrency. Practical exercises at the end of each chapter help you practice your new skills to lock in what you’ve learned. Concurrent programming is essential for getting the most out of modern multi-processor computer hardware. It allows multiple tasks to execute and interact simultaneously, speeding up performance and reducing user wait time. Thanks to its baked-in concurrency models, Google’s Go is one of the best languages you can use to learn and apply concurrent programming to your systems. This book is for readers who already have some programming experience and would like to learn about concurrency. The book assumes no prior knowledge of concurrent programming. Though the ideal reader would already have some experience with Go or another C-syntax-like language, this book is also well suited for developers coming from any language—if some effort is spent learning Go’s syntax.

Название: Ultimate Splunk for Cybersecurity: Practical Strategies for SIEM Using Splunk's Enterprise Security (ES) for Threat Detection, Forensic Investigation, and Cloud Security
Автор: Jit Sinha
Издательство: Orange Education Pvt Ltd, AVA
Год: 2024
Страниц: 463
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB

Empower Your Digital Shield with Splunk Expertise! The Ultimate Splunk for Cybersecurity is your practical companion to utilizing Splunk for threat detection and security operations. This in-depth guide begins with an introduction to Splunk and its role in cybersecurity, followed by a detailed discussion on configuring inputs and data sources, understanding Splunk architecture, and using Splunk Enterprise Security (ES). It further explores topics such as data ingestion and normalization, understanding SIEM, and threat detection and response. It then delves into advanced analytics for threat detection, integration with other security tools, and automation and orchestration with Splunk. Additionally, it covers cloud security with Splunk, DevOps, and security operations. Moreover, the book provides practical guidance on best practices for Splunk in cybersecurity, compliance, and regulatory requirements. It concludes with a summary of the key concepts covered throughout the book. Machine-generated data refers to any digital information generated by devices, applications, or systems. This includes log files, sensor data, application performance monitoring (APM) data, and many more. Since organizations continue to rely heavily on digital systems, the volume of machine-generated data increases exponentially. Traditional data management and analysis tools often struggle to keep up with this data growth, leading to a need for specialized solutions like Splunk.

Название: Handbook of Research on Artificial Intelligence and Soft Computing Techniques in Personalized Healthcare Services
Автор: Uma N. Dulhare, A.V. Senthil Kumar, Amit Datta
Издательство: Apple Academic Press, CRC Press
Серия: AAP Advances in Artificial Intelligence and Robotics
Год: 2024
Страниц: 493
Язык: английский
Формат: pdf (true)
Размер: 35.2 MB

This volume demonstrates the diverse state-of-the-art applications that combine Artificial Intelligence with soft computing, which has great potential for creating smart personalized healthcare services. The book showcases the myriad uses of AI and computer techniques in healthcare that employ Deep Learning, robotics, Machine Learning, blockchain, emerging cloud, edge computing, Practical Byzantine Fault Tolerance consensus, CNN architecture, Splunk, genetic algorithms (GA), DurBhashan, and many more. These technologies can be used in healthcare for enhanced data sharing, remote health monitoring, tele-rehabilitation, connecting rural populations with healthcare services, identifying diseases and health issues, automated medical diagnosis, analyzing information in surgical videos, ensuring timely communication and transportation during health disasters and emergencies, for optimizing expenditures, and more.

Название: Portfolio Optimization with Python: Code your way to Portfolio Optimization
Автор: Hayden Van Der Post, Alice Schwartz
Издательство: Reactive Publishing
Год: 2023
Страниц: 304
Язык: английский
Формат: pdf
Размер: 43.3 MB

Maximize Your Investment Strategy with Advanced Portfolio Techniques in Python! Unlock the secrets of successful investors and elevate your financial acumen with "Portfolio Optimization with Python: The Sharpe Mindset." Tailored for both seasoned traders and aspiring investment analysts, this comprehensive guide navigates the intricate world of portfolio optimization through the powerful lens of Python programming. Delve into the step-by-step journey from novice to expert as you harness Python's robust libraries and frameworks to analyze financial data, build risk-aware portfolios, and ultimately attain higher returns. With detailed coding examples, this book demystifies complex financial theories and transforms them into practical, actionable strategies. With engaging real-world examples, this book brings theory to life, teaching you not just how to write code, but also how to think like a proficient financial analyst. Whether you're a budding programmer eager to apply your skills to the stock market, or a finance professional aiming to upgrade your toolkit, "Portfolio Optimization with Python: The Sharpe Mindset" is your definitive resource for achieving peak portfolio performance. Are you ready to sharpen your investment edge? Open the pages and start your transformative journey to financial mastery with Python!

Название: Building Neural Networks from Scratch with Python
Автор: L.D. Knowings
Издательство: Independently published
Год: 2023
Страниц: 163
Язык: английский
Формат: pdf
Размер: 33.3 MB

Ready to throw your hat into the AI and Machine Learning ring? Get started right here, right now! Are you sick of these Machine Learning guides that don’t really teach you anything? Do you already know Python, but you’re looking to expand your horizons and skills with the language? Do you want to dive into the amazing world of neural networks, but it just seems like it’s… not for you? Artificial Intelligence is progressing at a fantastic rate—every day, a new innovation hits the net, providing more and more opportunities for the advancement of society. In your everyday life, your job, and even in your passion projects, learning how to code a neural network can be game-changing. But it just seems… complicated. How do you learn everything that goes into such a complex topic without wanting to tear your own hair out? Well, it just got easier. Machine Learning and neural networking don’t have to be complicated—with the right resources, you can successfully code your very own neural network from scratch, minimal experience needed! In this all-encompassing guide to coding neural networks in Python, you’ll uncover everything you need to go from zero to hero—transforming how you code and the scope of your knowledge right before your eyes. By the end of this book, you’ll have mastered neural networks confidently!

Название: Generative AI Tools for Developers: A Practical Guide
Автор: Timi Omoyeni
Издательство: SitePoint Pty. Ltd.
Год: 2024
Язык: английский
Формат: epub (true)
Размер: 27.6 MB

Artificial Intelligence (AI) has been in the spotlight for a while now, and it's dividing opinions across the world. While some are enthusiastic about the advances in AI and welcome it, others have raised concerns surrounding job security, ethics, and privacy of users' data—all of which are valid concerns. Artificial Intelligence is by no means a new topic or area of tech, but developers have spent years trying to improve on the technology and introduce new tools that are powered by AI. In this book, we'll look at some of the applications of AI we're seeing today, and how AI can be a very useful tool in our day-to-day work as engineers. Innovations in AI have introduced some obvious benefits, such as efficiency and increased productivity. A nice example is GitHub Copilot, an AI-powered, peer-coding partner that helps engineers improve their standard practices, write better tests, and be more productive. A large language model (LLM) is a computerized language model that can perform a variety of natural language processing tasks, including generating and classifying text, answering questions in a human-like fashion, and translating text from one language to another. It’s trained on a massive trove of articles, Wikipedia entries, books, internet-based resources and other input, so it can learn how to generate responses based on data from these sources. ChatGPT was trained on a vast amount of text data and code, including programming languages, code snippets, documentation, and discussions on platforms like GitHub and Stack Overflow. This makes it possible for it to understand and write code in several languages. This book is for developers who are interested in using AI tools professionally. It doesn't assume any existing familiarity with AI tools.

Название: Artificial Intelligence in the Age of Nanotechnology
Автор: Wassim Jaber
Издательство: IGI Global
Год: 2024
Страниц: 313
Язык: английский
Формат: pdf (true), epub
Размер: 28.5 MB

In the world of academia, scholars and researchers are confronted with a rapidly expanding knowledge base in Artificial Intelligence (AI) and nanotechnology. The integration of these two groundbreaking fields presents an intricate web of concepts, innovations, and interdisciplinary applications that can overwhelm even the most astute academic minds. Staying up to date with the latest developments and effectively navigating this complex terrain has become a pressing challenge for those striving to contribute meaningfully to these fields. Artificial Intelligence in the Age of Nanotechnology is a transformative solution meticulously crafted to address the academic community's knowledge gaps and challenges. This comprehensive book serves as the guiding light for scholars, researchers, and students grappling with the dynamic synergy between AI and Nanotechnology. It offers a structured and authoritative exploration of the core principles and transformative applications of these domains across diverse fields. By providing clarity and depth, it empowers academics to stay at the forefront of innovation and make informed contributions. Machine Learning is a dynamic subfield of Artificial Intelligence (AI) that empowers machines to learn and make informed predictions or decisions without explicit programming. By leveraging statistical techniques and iterative learning processes, Machine Learning algorithms have the remarkable capability to analyze vast amounts of data, uncover patterns, and generate intelligent insights or take appropriate actions.

Название: Modern X86 Assembly Language Programming: Covers X86 64-bit, AVX, AVX2, and AVX-512, 3rd Edition
Автор: Daniel Kusswurm
Издательство: Apress
Год: 2023
Страниц: 688
Язык: английский
Формат: pdf (true), epub (true)
Размер: 33.7 MB

This book is an instructional text that will teach you how to code x86-64 assembly language functions. It also explains how you can exploit the SIMD capabilities of an x86-64 processor using x86-64 assembly language and the AVX, AVX2, and AVX-512 instruction sets. This updated edition’s content and organization are designed to help you quickly understand x86-64 assembly language programming and the unique computational capabilities of x86 processors. The source code is structured to accelerate learning and comprehension of essential x86-64 assembly language programming constructs and data structures. Modern X86 Assembly Language Programming, Third Edition includes source code for both Windows and Linux. The source code elucidates current x86-64 assembly language programming practices, run-time calling conventions, and the latest generation of software development tools. While it is still theoretically possible to write large sections or an entire application program using assembly language, the demanding requirements of contemporary software development mean that such an approach is both impractical and ill-advised. Instead, this book accentuates the coding x86-64 assembly language functions that are callable from C++. The downloadable software package for this book includes source code that works on both Windows (Visual C++ and MASM) and Linux (GNU C++ and NASM).