Название: DevOps for Software Engineers
Автор: Srinikhita Kothapalli, Pavan Kumar Gade, Hari Priya Kommineni, Aditya Manikyala
Издательство: Warta Say
Год: 2024
Страниц: 184
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

The evolution of software development has transformed dramatically over the past decade, driven by the need for faster, more reliable delivery of applications and services. In this rapidly changing landscape, DevOps has emerged as a crucial methodology, bridging the gap between development and operations. It integrates practices and tools that foster collaboration, automate processes, and enhance the efficiency of software delivery. "DevOps for Software Engineers" is born out of our collective experience and passion for improving the way software is developed, deployed, and maintained in the modern era. This book is designed to serve as a comprehensive guide for software engineers who are either new to DevOps or looking to deepen their understanding of the subject. We have structured the content to cover the foundational concepts of DevOps, practical implementations, and advanced techniques that can be applied in real-world scenarios. The book encompasses a broad range of topics, including continuous integration and continuous delivery (CI/CD), infrastructure as code, automated testing, monitoring, and security, among others. Each chapter is crafted to build on the previous one, creating a cohesive learning experience that progresses from basic principles to more complex implementations. Our goal is to equip software engineers with the knowledge and tools necessary to thrive in a DevOps-driven environment. We believe that by mastering these concepts, engineers can significantly contribute to the efficiency, reliability, and scalability of software systems. Furthermore, this book aims to demonstrate how DevOps practices can be seamlessly integrated into existing workflows, ultimately leading to more robust and resilient software. Whether you are beginning your journey into DevOps or seeking to enhance your expertise, we trust that you will find the content both informative and inspiring.

Название: Tech Leadership Playbook: Building and Sustaining High-Impact Technology Teams
Автор: Alexsandro Souza
Издательство: Apress
Год: 2024
Страниц: 233
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Immerse yourself in this indispensable resource for leaders tasked with the challenge of building or managing effective software development teams. This book is based on practical wisdom, offering actionable guidance to foster high-performing teams that excel in their projects. Despite the pivotal role leadership plays in a team's success, there aren't many companies that employ structured, best-practice-driven leadership methods. The core of the book covers several critical areas essential for any tech leader's success: building high-performance teams, project management, code quality, software design and architecture, software development life cycle (SDLC), software quality insurance, observability, technology and business alignment. The relevance of structured, principled leadership in tech has never been more important. Tech Leadership Playbook aims to equip leaders with the knowledge and tools necessary to navigate the challenges of evolving business successfully. For senior engineers, tech leaders, engineering managers, CTO, CIO, project managers, agile coaches, and founders.

Название: Python Data Analysis: Transforming Raw Data into Actionable Intelligence with Python's Data Analysis Capabilities
Автор: Tom Lesley
Издательство: May Reads
Год: 2024
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Python has emerged as a powerful language for data analysis, thanks to its extensive libraries and ease of use. Python for Data Analysis is a comprehensive guide that will help beginners and experienced professionals learn how to use Python for data analysis. This book covers everything from the basics of Python programming to advanced topics like Machine Learning, Deep Learning, and Bayesian data analysis. The book begins by introducing readers to the basics of Python programming and the key data structures used in data analysis. It then covers the various data preparation and exploratory data analysis techniques that are commonly used in the field. The book also covers advanced topics like Machine Learning, where readers will learn about regression, classification, clustering, and dimensionality reduction techniques. The book also includes a chapter on natural language processing (NLP), where readers will learn about text classification, sentiment analysis, and topic modeling. In addition, the book covers big data analytics, where readers will learn how to use distributed computing frameworks like PySpark and Dask to handle large datasets. The book also covers cloud-based platforms like AWS and Google Cloud, where readers will learn how to scale their Python code to handle big data analysis tasks. The book concludes with a chapter on advanced topics like Deep Learning, reinforcement learning, and Bayesian data analysis. Readers will also learn about advanced visualization techniques that can help them present their findings in a clear and concise manner. Abundance of libraries Python has a broad range of libraries designed to handle data analysis tasks, such as data cleaning, data visualization, Machine Learning, and statistics. Some of the most popular libraries for data analysis include NumPy, Pandas, Matplotlib, Seaborn, SciPy, and Scikit-Learn.

Название: Design an RP2040 board with KiCad: Creating Raspberry Pi Pico-compatible PCBs
Автор: Jo Hinchliffe, Ben Everard
Издательство: Raspberry Pi Press
Год: 2024
Страниц: 160
Язык: английский
Формат: epub
Размер: 15.7 MB

Design and make your own microcontroller board using the same chip that powers the popular Raspberry Pi Pico. KiCad is an amazing piece of free and open-source software that allows anyone, with some time and effort, to make high-quality PCB designs. Couple this amazing software with numerous PCB fabrication companies and even PCBA services (companies that will make and assemble your PCB designs) and there's never been a better time to get into this aspect of making. This book provides a gentle introduction to PCB design using the RP2040 microcontroller chip (the same chip that's at the heart of the Raspberry Pi Pico). You'll learn how to create a schematic for a microcontroller board using the RP2040, from assigning schematic symbols to creating a footprint for individual components. You'll quickly move on to laying out the PCB design and preparing it for manufacture! That's right–after your board is designed, this book will show you how to send it off to be manufactured and assembled. You'll find out about the various materials (or substrates) you can choose for your board, and learn how to pick the right manufacturer. Once you have your board in hand, you'll also learn what you can do (and make!) with it, and there will be plenty of ideas for expansions, such as motor drivers.

Название: Mathematical Engineering of Deep Learning
Автор: Benoit Liquet, Sarat Moka, Yoni Nazarathy
Издательство: CRC Press
Серия: Data Science Series
Год: 2025
Страниц: 415
Язык: английский
Формат: pdf (true), epub
Размер: 39.8 MB

Mathematical Engineering of Deep Learning provides a complete and concise overview of Deep Learning using the language of mathematics. The book provides a self-contained background on Machine Learning and optimization algorithms and progresses through the key ideas of Deep Learning. These ideas and architectures include deep neural networks, convolutional models, recurrent models, long/short-term memory, the attention mechanism, transformers, variational auto-encoders, diffusion models, generative adversarial networks, reinforcement learning, and graph neural networks. Concepts are presented using simple mathematical equations together with a concise description of relevant tricks of the trade. The content is the foundation for state-of-the-art Artificial Intelligence applications, involving images, sound, large language models, and other domains. The focus is on the basic mathematical description of algorithms and methods and does not require computer programming. The presentation is also agnostic to neuroscientific relationships, historical perspectives, and theoretical research. The benefit of such a concise approach is that a mathematically equipped reader can quickly grasp the essence of Deep Learning.

Название: Интеллектуальный блогер
Автор: Stepik
Издательство: Stepik
Год: 2024
Формат: PDF
Страниц: много
Размер: 30 Mb
Язык: Русский

ПРЕМИАЛЬНАЯ ПРОГРАММА САМООБУЧЕНИЯ И САМОРАЗВИТИЯ Сможете создать свой уникальный экспертный блог и монетизировать. Определите свой потенциал развития и найдете свою нишу. Научитесь писать красиво, системно и грамотно. Станете блогером, который строит свой бренд на знаниях, эрудиции, экспертности и фирменном стиле. Блогером, который несет ответственность за свой контент и за трансляцию ценностей.

Название: MIMO Antenna Systems for 5G and Beyond
Автор: Xiaoming Chen, Ping Jack Soh, Mohammad S. Sharawi
Издательство: Wiley-IEEE Press
Год: 2025
Страниц: 387
Язык: английский
Формат: pdf (true)
Размер: 15.9 MB

Discover current design practices and performance metrics in this comprehensive guide to the latest methods of developing MIMO antenna systems. Multiple-input multiple-output (MIMO) antenna systems use multiple sets of antennas to increase the capacity of a radio link, or to send and receive multiple simultaneous data signals over the same radio channel. It's become an increasingly integral part of wireless and mobile data networks, from the earliest generations of wireless internet to cutting-edge 5G systems. The coming 6G networks will also rely on 6G antenna systems, making it all the more critical for the next generation of engineers and antenna designers to have a firm grasp of this foundational technology. MIMO Antenna Systems for 5G and Beyond offers a timely introduction to these systems and their design principles. Incorporating the latest designs and a comprehensive overview of current system configurations, it provides complete design procedures and performance metrics for MIMO systems. The result is a one-stop shop for all MIMO applications and wireless standards. MIMO Antenna Systems for 5G and Beyond is ideal for practicing engineers, as well as researchers in wireless and radio engineering sectors.

Название: Як здобути прихильність людей і навчитися впливати на них
Автор: Джек Шефер, Марвiн Карлiнс
Изд-во: «Vivat»
Серия: Саморозвиток
Год: 2019
Стр.: 304
Формат:pdf/epub/fb2
Размер: 34,82 Мб
Язык: українська

"Як здобути прихильність людей і навчитися впливати на них": рекомендації колишнього агента ФБР
Агенту ФБР Джекові Шеферу доводилося користуватися незвичайними стратегіями для ефективної взаємодії з оточенням, зокрема зі шпигунами та злочинцями.
Протягом двадцяти років фахівець із поведінкового аналізу розробляв оригінальні методи впливу на людей. Він наголошує, що ці стратегії придатні й для повсякденного життя: щоб побудувати міцні стосунки, навчитись розпізнавати брехню і розуміти поведінку інших.
Поради колишнього агента ФБР допоможуть керівникам, досвідченим менеджерам і продавцям-початківцям, батькам і вчителям, а також усім, хто прагне налагодити дружні чи романтичні стосунки й опанувати надскладне мистецтво подобатися людям з першого погляду.

Название: The Computational Content Analyst: Using Machine Learning to Classify Media Messages
Автор: Chris J. Vargo
Издательство: Routledge
Год: 2025
Страниц: 144
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.1 MB

Most digital content, whether it be thousands of news articles or millions of social media posts, is too large for the naked eye alone. Often, the advent of immense datasets requires a more productive approach to labeling media beyond a team of researchers. This book offers practical guidance and Python code to traverse the vast expanses of data—significantly enhancing productivity without compromising scholarly integrity. We’ll survey a wide array of computer-based classification approaches, focusing on easy-to-understand methodological explanations and best practices to ensure that your data is being labeled accurately and precisely. By reading this book, you should leave with an understanding of how to select the best computational content analysis methodology to your needs for the data and problem you have. This guide gives researchers the tools they need to amplify their analytical reach through the integration of content analysis with computational classification approaches, including Machine Learning and the latest advancements in Generative Artificial Intelligence (AI) and Large Language Models (LLMs). It is particularly useful for academic researchers looking to classify media data and advanced scholars in mass communications research, media studies, digital communication, political communication, and journalism. Complementing the book are online resources: datasets for practice, Python code scripts, extended exercise solutions, and practice quizzes for students, as well as test banks and essay prompts for instructors. From here we will assume that you have a fundamental working knowledge of manipulating data in Python. If you are not a coder, we’ll discuss emerging generative AI tools that can help you code.

Название: Convergence of Blockchain and Explainable Artificial Intelligence: BlockXAI
Автор: Akansha Singh, Krishna Kant Singh
Издательство: River Publishers
Год: 2024
Страниц: 180
Язык: английский
Формат: pdf (true), epub (true)
Размер: 20.4 MB

Explainable AI (XAI) is an upcoming research field in the domain of machine learning. This book aims to provide a detailed description of the topics related to XAI and Blockchain. These two technologies can benefit each other, and the research outcomes will benefit society in multiple ways. Existing AI systems make decisions in a black box manner. Explainable AI delineates how an AI system arrived at a particular decision. It inspects the steps and models that are responsible for making a particular decision. It is an upcoming trend that aims at providing explanations to the AI decisions. Blockchain is emerging as an effective technique for XAI. It enables accessibility to digital ledgers amongst the various AI agents. The AI agents collaborate using consensus and decisions are saved on Blocks. These blocks can be traced back but cannot be changed. Thus, the combination of AI with blockchain provides transparency and visibility to all AI decisions. BlockXAI is also being widely used for improving data security and intelligence. The decisions made are consensus based and decentralized leading to highly efficient AI systems. This book also covers topics that present the convergence of Blockchain with explainable AI and will provide researchers, academics, and industry experts with a complete guide to BlockXAI. This book provides a detailed description of the topics related to XAI and Blockchain.