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Название: Mastering Python Automation: A Comprehensive Guide to Automate Everything: Unlock the Power of Python to Automate Tasks Across Cloud, DevOps, Data Processing, and More
Автор: Ahmed Khorshid
Издательство: Independently published
Год: September 20, 2024
Страниц: 224
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Discover the limitless potential of Python automation with 'Mastering Python Automation: A Comprehensive Guide to Automate Everything.' This book is your ultimate resource for automating a wide range of tasks using Python, from cloud services and DevOps to data processing and cybersecurity. With detailed explanations, practical examples, and real-world case studies, you'll learn how to streamline workflows, enhance productivity, and tackle complex automation challenges. Whether you're a beginner or an experienced developer, this guide provides the tools and techniques you need to master Python automation and transform your projects. Python automation refers to the process of using the Python programming language to automate repetitive tasks, streamline workflows, and enhance productivity across various domains. Whether it’s data processing, web scraping, system administration, or even machine learning, Python provides a versatile and powerful platform for automating these tasks.

Название: The Complete Developer: Master the Full Stack with TypeScript, React, Next.js, MongoDB, and Docker
Автор: Martin Krause
Издательство: No Starch Press
Год: 2024
Страниц: 347
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB, True/Retail MOBI
Размер: 28.5 MB

A hands-on, beginner-friendly approach to developing complete web applications from the ground up, using jаvascript and its most popular frameworks, including Node.js and React.js. Whether you’ve been in the developer kitchen for decades or are just taking the plunge to do it yourself, The Complete Developer will show you how to build and implement every component of a modern stack—from scratch. You’ll go from a React-driven frontend to a fully fleshed-out backend with Mongoose, MongoDB, and a complete set of REST and GraphQL APIs, and back again through the whole Next.js stack. The book’s easy-to-follow, step-by-step recipes will teach you how to build a web server with Express.js, create custom API routes, deploy applications via self-contained microservices, and add a reactive, component-based UI. You’ll leverage command line tools and full-stack frameworks to build an application whose no-effort user management rides on GitHub logins. Covers: Docker, Express.js, jаvascript, Jest, MongoDB, Mongoose, Next.js, Node.js, OAuth, React, REST and GraphQL APIs, and TypeScript.

Название: Graph Algorithms the Fun Way: Powerful Algorithms Decoded, Not Oversimplified
Автор: Jeremy Kubica
Издательство: No Starch Press
Год: 2025
Страниц: 419
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB
Размер: 58.2 MB

Graph Algorithms the Fun Way offers a refreshing approach to complex concepts by blending humor, imaginative examples, and practical Python implementations to reveal the power and versatility of graph-based problem-solving in the real world. Through clear diagrams, engaging examples, and Python code, you’ll build a solid foundation for addressing graph problems in your own projects. This book is an introduction to graphs and their algorithms for programmers who want to understand and apply them. Graphs are a type of data structure used throughout mathematics, Computer Science, and numerous other fields to model and solve a wide range of real-world problems. The structure of a graph allows us to represent connections or associations between items. Understanding this structure is critical to harnessing the power of graphs and using them efficiently. This book is for programmers who want to learn more about graphs, graph algorithms, and the computational thinking behind such techniques. I assume no prior knowledge of graphs or graph algorithms. However, readers should have the kind of basic familiarity with Python that can be expected after an introductory course, book, or boot camp. They should be familiar with fundamental Python programming concepts, including basic data structures such as lists and dictionaries.

Название: Серия "Программисту" в 11 книгах +1CD
Автор(ы): разные
Издательство: Бином. ЛЗ
Год: 2005-2021
Страниц: 1000+
Формат: pdf, djvu
Размер: 222 Мб
Язык: русский

В этой серии представлены книги, посвященные вопросам программирования практически на всех существующих языках под различные платформы и операционные системы. Также вы найдете массу информации по администрированию, работе с графикой использованию и настройке ОС, а также учебники по программированию, компоненты, исходники программ.

Название: Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI
Автор: Sebastian Raschka
Издательство: No Starch Press
Год: 2024
Страниц: 267
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB, True/Retail MOBI
Размер: 122.2 MB

If you’re ready to venture beyond introductory concepts and dig deeper into Machine Learning, Deep Learning, and AI, the question-and-answer format of Machine Learning Q and AI will make things fast and easy for you, without a lot of mucking about. Born out of questions often fielded by author Sebastian Raschka, the direct, no-nonsense approach of this book makes advanced topics more accessible and genuinely engaging. Each brief, self-contained chapter journeys through a fundamental question in AI, unraveling it with clear explanations, diagrams, and hands-on exercises. This book adopts a unique Q&A style, where each brief chapter is structured around a central question related to fundamental concepts in Machine Learning, Deep Learning, and AI. Every question is followed by an explanation, with several illustrations and figures, as well as exercises to test your understanding. Many chapters also include references for further reading. These bite-sized nuggets of information provide an enjoyable jumping-off point on your journey from Machine Learning beginner to expert.

Название: Machine Learning for Adaptive Many-Core Machines - A Practical Approach
Серия: Studies in Big Data, 7
Автор: Noel Lopes, Bernardete Ribeiro
Издательство: Springer
Год: 2015
Формат: pdf
Страниц: 251
Размер: 17,9 Мб
Язык: английский

The overwhelming data produced everyday and the increasing performance and cost requirements of applications are transversal to a wide range of activities in society, from science to industry. In particular, the magnitude and complexity of the tasks that Machine Learning (ML) algorithms have to solve are driving the need to devise adaptive many-core machines that scale well with the volume of data, or in other words, can handle Big Data.
This book gives a concise view on how to extend the applicability of well-known ML algorithms in Graphics Processing Unit (GPU) with data scalability in mind. It presents a series of new techniques to enhance, scale and distribute data in a Big Learning framework. It is not intended to be a comprehensive survey of the state of the art of the whole field of machine learning for Big Data. Its purpose is less ambitious and more practical: to explain and illustrate existing and novel GPU-based ML algorithms, not viewed as a universal solution for the Big Data challenges but rather as part of the answer, which may require the use of different strategies coupled together.

Название: MATLAB Roadmap to Applications: Volume I Fundamental
Автор: Yi Chen, Long Huang
Издательство: Springer
Год: 2025
Страниц: 611
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book presents a comprehensive guide to MATLAB programming, catering to students, engineers, and researchers seeking to harness MATLAB as a powerful tool for their work. The text meticulously covers fundamental concepts, progressing from basic elements such as types and operators to more complex structures like arrays and matrices. It elucidates key programming constructs including selection statements, loop structures, scripts, and functions, providing readers with a solid foundation in MATLAB programming. The book's structure is carefully crafted to facilitate step-by-step learning, with each chapter building upon previous knowledge. Abundant examples and exercises reinforce understanding, while dedicated sections on data visualisation, algorithm development, and practical applications in engineering, science, and finance demonstrate MATLAB's versatility across disciplines. One of MATLAB’s key strengths is its high-level programming language that leverages matrix and array operations, enabling concise and efficient code development for scientific and engineering computations.

Название: Introduction to Computer Organization: ARM Edition: An Under-the-Hood Look at Hardware and ARM A64 Assembly
Автор: Robert G. Plantz
Издательство: No Starch Press
Год: 2025
Страниц: 520
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB, True/Retail MOBI
Размер: 78.4 MB

The ARM edition of Introduction to Computer Organization will show you how high-level code connects to computer hardware through ARM 64-bit assembly language. You’ll learn ARM assembly language from the ground up, and all you’ll need is some basic experience with programming. As you grow to understand ARM’s 64-bit design, you’ll develop the skills to write more efficient, optimized code. Get hands-on experience programming the GPIO on Raspberry Pi 3, 4, and 5 in assembly. Use GNU programming tools to examine code generated from C and C++ by the compiler, write assembly programs from scratch, and use the debugger to visualize execution, inspect registers, and understand machine-level operations. Each chapter includes practical “Your Turn” exercises to reinforce key concepts and build real-world programming skills. Whether you’re optimizing code performance, developing embedded systems, or simply curious about how computers execute your programs, this guide provides deep insight into how software and hardware interact to bring programs to life.

Название: R for the Rest of Us: A Statistics-Free Introduction
Автор: David Keyes
Издательство: No Starch Press
Год: 2024
Страниц: 259
Язык: английский
Формат: True/Retail PDF, True/Retail EPUB, True/Retail MOBI
Размер: 70.4 MB

The R programming language is a remarkably powerful tool for data analysis and visualization, but its steep learning curve can be intimidating for some. If you just want to automate repetitive tasks or visualize your data, without the need for complex math, R for the Rest of Us is for you. Inside you’ll find a crash course in R, a quick tour of the RStudio programming environment, and a collection of real-word applications that you can put to use right away. You’ll learn how to create informative visualizations, streamline report generation, and develop interactive websites—whether you’re a seasoned R user or have never written a line of R code. Many people think of R as simply a tool for hardcore statistical analysis, but it can do much more than manipulate numerical values. After all, every R user must illuminate their findings and communicate their results somehow, whether that’s via data visualizations, reports, websites, or presentations. Also, the more you use R, the more you’ll find yourself wanting to automate tasks you currently do manually. No matter your background, using R can transform your work. This book is for you if you’re either a current R user keen to explore its uses for visualization and communication or a non-R user wondering if R is right for you. I’ve written R for the Rest of Us so that it should make sense whether or not you’ve ever written a line of R code. But even if you’ve written entire R programs, the book should help you learn plenty of new techniques to up your game. R is a great tool for anyone who works with data.

Название: GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWS
Автор: Olivier Bergeret, Asif Abbasi, Joel Farvault
Издательство: Wiley
Год: 2025
Страниц: 368
Язык: английский
Формат: epub (true)
Размер: 17.1 MB

The definitive guide to leveraging AWS for Generative AI. GenAI on AWS: A Practical Approach to Building Generative AI Applications on AWS is an essential guide for anyone looking to dive into the world of generative AI with the power of Amazon Web Services (AWS). Crafted by a team of experienced cloud and software engineers, this book offers a direct path to developing innovative AI applications. It lays down a hands-on roadmap filled with actionable strategies, enabling you to write secure, efficient, and reliable generative AI applications utilizing the latest AI capabilities on AWS. This comprehensive guide starts with the basics, making it accessible to both novices and seasoned professionals. You'll explore the history of artificial intelligence, understand the fundamentals of Machine Learning, and get acquainted with deep learning concepts. It also demonstrates how to harness AWS's extensive suite of generative AI tools effectively. Through practical examples and detailed explanations, the book empowers you to bring your generative AI projects to life on the AWS platform.