Название: Functional Design and Architecture (MEAP v7)
Автор: Alexander Granin
Издательство: Manning Publications
Год: 2022
Страниц: 329
Язык: английский
Формат: pdf, epub
Размер: 13.4 MB

Design patterns and architectures for building production quality applications using functional programming, with examples in Haskell and other FP languages. Functional Design and Architecture is a pioneering guide to software engineering using Haskell and other functional languages. In it, you’ll discover Functional Declarative Design and other design principles perfect for working in Haskell, PureScript, F#, and Scala. Functional programming offers a powerful alternative to object-oriented programming that helps tackle the complexities of large-scale software. Entrenched design patterns and architectural principles made for OOP are poorly suited for creating large-scale functional applications. This book lays out new methodologies, principles, and architectures optimized for high-level software design using functional languages.

Название: F# in Action (MEAP v4)
Автор: Isaac Abraham
Издательство: Manning Publications
Год: 2022
Страниц: 199
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

F# is designed to make functional programming practical and accessible, especially for developers working on the .NET platform. This book will get you started. F# in Action swiftly guides you from Functional Programming novice all the way to putting F# applications into production! It leverages your existing knowledge of software development and the .NET platform to get you up-and-running fast. You’ll quickly master the F# you need to start getting stuff done. Learn how you can use scripts to rapidly explore .NET libraries and packages, and level up your .NET skills for data exploration and analysis. You’ll even discover how F#’s “light touch” approach to functional programming ensures error-free code without the complex math you might normally associate with FP.

Название: Практический анализ двоичных файлов
Автор: Эндриесс Дж.
Издательство: ДMK
Год: 2021 (2022)
Cтраниц: 460
Формат: pdf
Размер: 13 мб
Язык: русский

Современные вредоносные программы все сильнее обфусцированы и стремятся обмануть аналитиков. Поэтому нам нужны более изощренные методы, способные развеять эту завесу тьмы, – и в этом может помочь двоичный анализ, цель которого – установить истинные свойства двоичных программ и понять, что они делают в действительности.

Название: Multiplayer Game Development in Rust (MEAP v2)
Автор: Stephan Dilly, Lyon Becker
Издательство: Manning Publications
Год: 2022
Страниц: 150
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

Use Rust to create a high performance and easy-to-scale multiplayer game that can handle hundreds of players. In Multiplayer Game Development in Rust you’ll learn how to build performance-optimized applications in Rust by developing your own multiplayer game backend. You’ll iterate on your backend in every chapter, adding new features as you go. Discover how Rust can deliver increased performance and memory safety, and take advantage of handy Rust tools and libraries that can help with the heavy lifting. Modern games often use completely different stacks for the frontend and backend. Developers end up needing to write the game logic twice, or they have to build complex solutions for data exchange. Rust is an ideal language for the whole project, delivering high performance on both client and server.

Название: Google Anthos in Action (MEAP v11)
Автор: Antonio Gulli
Издательство: Manning Publications
Год: 2022
Страниц: 795
Язык: английский
Формат: pdf, epub
Размер: 31.9 MB

Learn Anthos directly from the Google development team! Anthos delivers a consistent management platform for deploying and operating Linux and Windows applications anywhere—multicloud, edge, on-prem, bare metal, or VMware. In a cloud-centric world, all deployment is becoming hybrid deployment. Anthos is a modern, Kubernetes-based cloud platform that enables you to run your software in multicloud, hybrid, or on-premises deployments using the same operations tools and approach. With powerful automation features, it boosts your efficiency along the whole development lifecycle. Google Anthos in Action demystifies Anthos with practical examples of Anthos at work and invaluable insights from the Google team that built it. Anthos is built on a simple concept: write once, and run anywhere—whether that’s on-prem, in any public cloud, on the edge, or all three.

Название: An Introduction to Python Programming for Scientists and Engineers
Автор: Johnny Wei-Bing Lin, Hannah Aizenman, Erin M.C. Espinel, Kim Gunnerson
Издательство: Cambridge University Press
Год: 2022
Страниц: 766
Язык: английский
Формат: pdf (true)
Размер: 57.7 MB

Python is one of the most popular programming languages, widely used for data analysis and modelling, and is fast becoming the leading choice for scientists and engineers. Unlike other textbooks introducing Python, typically organised by language syntax, this book uses many examples from across Biology, Chemistry, Physics, Earth science, and Engineering to teach and motivate students in science and engineering. The text is organised by the tasks and workflows students undertake day-to-day, helping them see the connections between programming tools and their disciplines. The pace of study is carefully developed for complete beginners, and a spiral pedagogy is used so concepts are introduced across multiple chapters, allowing readers to engage with topics more than once. “Try This!” exercises and online Jupyter notebooks encourage students to test their new knowledge, and further develop their programming skills. Online solutions are available for instructors, alongside discipline-specific homework problems across the sciences and engineering.

Название: Statistics and Data Visualisation with Python
Автор: Jesus Rogel-Salazar
Издательство: CRC Press
Серия: The Python Series
Год: 2023
Страниц: 554
Язык: английский
Формат: pdf (true)
Размер: 14.3 MB

This book is intended to serve as a bridge in statistics for graduates and business practitioners interested in using their skills in the area of data science and analytics as well as statistical analysis in general. On the one hand, the book is intended to be a refresher for readers who have taken some courses in statistics, but who have not necessarily used it in their day-to-day work. On the other hand, the material can be suitable for readers interested in the subject as a first encounter with statistical work in Python. Statistics and Data Visualisation with Python aims to build statistical knowledge from the ground up by enabling the reader to understand the ideas behind inferential statistics and begin to formulate hypotheses that form the foundations for the applications and algorithms in statistical analysis, business analytics, machine learning, and applied machine learning. This book begins with the basics of programming in Python and data analysis, to help construct a solid basis in statistical methods and hypothesis testing, which are useful in many modern applications. In the Chapter 3 we are going to concentrate on a few that are useful in statistical analysis, namely NumPy, SciPy and Pandas.

Название: Algorithm Design: A Methodological Approach - 150 problems and detailed solutions
Автор: Patrick Bosc, Marc Guyomard, Laurent Miclet
Издательство: CRC Press
Год: 2023
Страниц: 820
Язык: английский
Формат: pdf (true)
Размер: 17.4 MB

A best-seller in its French edition, the construction of this book is original and its success in the French market demonstrates its appeal. It is based on three principles: 1. An organization of the chapters by families of algorithms : exhaustive search, divide and conquer, etc. At the contrary, there is no chapter only devoted to a systematic exposure of, say, algorithms on strings. Some of these will be found in different chapters. 2. For each family of algorithms, an introduction is given to the mathematical principles and the issues of a rigorous design, with one or two pedagogical examples. 3. For its most part, the book details 150 problems, spanning on seven families of algorithms. For each problem, a precise and progressive statement is given. More important, a complete solution is detailed, with respect to the design principles that have been presented ; often, some classical errors are pointed at. Roughly speaking, two thirds of the book are devoted to the detailed rational construction of the solutions.

Название: Quick jаvascript
Автор: David Matuszek
Издательство: CRC Press
Год: 2023
Страниц: 187
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Are you an experienced programmer who wants to get started quickly in jаvascript and the HTML DOM? This is your book. Do you need encyclopedic knowledge of jаvascript and/or the HTML DOM? This book is not for you. Are you a novice who wants to learn to program? This book is not for you. In fact, this language is not for you. Get a good Python book. This book will get you programming in jаvascript as quickly as possible. In addition, it will provide you with a basic understanding of the Document Object Model, the massive data structure used to represent web pages. With these tools, you will be able to build interactive web pages. If you program in C++ or Java, there are parts of the book you can skip over because the jаvascript statements are exactly the same. These parts are clearly marked.

Название: Fast Python High performance techniques for large datasets (MEAP v10)
Автор: Tiago Antao
Издательство: Manning Publications
Год: 2022
Страниц: 373
Язык: английский
Формат: pdf, epub
Размер: 10.9 MB

Master these effective techniques to reduce costs and run times, handle huge datasets, and implement complex machine learning applications efficiently in Python. Fast Python is your guide to optimizing every part of your Python-based data analysis process, from the pure Python code you write to managing the resources of modern hardware and GPUs. You'll learn to rewrite inefficient data structures, improve underperforming code with multithreading, and simplify your datasets without sacrificing accuracy. Fast, accurate systems are vital for handling the huge datasets and complex analytical algorithms that are common in modern data science. Python programmers need to boost performance by writing faster pure-Python programs, optimizing the use of libraries, and utilizing modern multi-processor hardware; Fast Python shows you how.