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Название: Clean Code Principles And Patterns : A Software Practitioner's Handbook
Автор: Petri Silen
Издательство: Leanpub
Год: 2023-02-02
Страниц: 489
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 17.6 MB

One of the most comprehensive no-fluff guides for software developers to help them write clean code every day. The book is packed with principles and patterns that help developers, from novices and juniors to seniors and experts, to write cleaner code. Clean Code Principles and Patterns is one of the most comprehensive no-fluff guides for software developers to help them write clean code every day. The author Petri Silen has almost 30 years of industry experience in designing and implementing software, and now he puts all his knowledge gained during the years into this book. The book is packed with principles and patterns that help developers, from novices and juniors to seniors and experts, to write cleaner code. The principles and patterns presented in the book are accompanied by realistic yet straightforward examples to help the reader to understand them better. Examples are written in Java, jаvascript/TypeScript, and C++. Most examples are in Java or jаvascript/TypeScript and are adaptable to other programming languages, too. The reader should have basic knowledge of one object-oriented programming language to get the full benefit from this book.

Название: Practical Python Artificial Intelligence Programming
Автор: Mark Watson
Издательство: Leanpub
Год: 2023-02-02
Страниц: 129
Язык: английский
Формат: pdf (true), epub
Размер: 10.2 MB

A fun dive into AI programming with Python. We will cover Deep Learning, old fashioned symbolic AI, broad coverage of data sources as well as wide range of tips and techniques for using Python both in experiments and in production. This book is intended, dear reader, to show you a wide variety of practical Artificial Intelligence (AI) techniques and examples, and to be a jumping off point when you discover things that interest you or may be useful in your work. A common theme here is covering AI programming tasks that used to be difficult or impossible but are now much simpler using deep learning, of at least possible. I also cover a wide variety on non-deep learning material including a chapter on Symbolic AI that has historic interest and some current practical value. Why Python? Python is a very high level language that is easily readable by other programmers. Since Python is one of the most popular programming languages there are many available libraries and frameworks.

Название: React Quickly, Second Edition (MEAP v11)
Автор: Morten Barklund, Azat Mardan
Издательство: Manning Publications
Год: 2023
Страниц: 891
Язык: английский
Формат: pdf, epub
Размер: 33.7 MB

Build your skills with React and its ecosystem fast. There’s no slow theory and tedious history. You’ll dive into React code right from the very first chapter. The book teaches you how React thinks, introducing ways of structuring your architecture that even work with large teams. You’ll explore over 100 useful and practical examples that put React into action. This new second edition has been completely rewritten to cover the latest developments in the React framework. The React jаvascript library helps developers speedily build reliable and beautiful frontends and user interfaces. Its simple architecture makes it easy to create complex web applications. React’s compartmentalized components can be quickly and easily tested in isolation and composed into a full application. This makes React a perfect choice for anything from quick prototypes to full-scale large websites.

Название: Machine Learning Algorithms in Depth (MEAP v4)
Автор: Vadim Smolyakov
Издательство: Manning Publications
Год: 2023
Страниц: 245
Язык: английский
Формат: pdf, epub
Размер: 28.4 MB

Develop a mathematical intuition for how Machine Learning algorithms work so you can improve model performance and effectively troubleshoot complex ML problems. In Machine Learning Algorithms in Depth you’ll explore practical implementations of dozens of ML algorithms. Machine Learning Algorithms in Depth dives into the design and underlying principles of some of the most exciting machine learning (ML) algorithms in the world today. With a particular emphasis on probability-based algorithms, you’ll learn the fundamentals of Bayesian inference and deep learning. You’ll also explore the core data structures and algorithmic paradigms for machine learning. Each algorithm is fully explored with both math and practical implementations so you can see how they work and how they’re put into action. Fully understanding how Machine Learning algorithms function is essential for any serious ML engineer.

Название: Learning Go: An Idiomatic Approach to Real-World Go Programming, 2nd Edition (Second Early Release)
Автор: Jon Bodner
Издательство: O’Reilly Media, Inc.
Год: 2023-02-01
Страниц: 167
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.2 MB

Go has rapidly become the preferred language for building web services. Plenty of tutorials are available to teach Go's syntax to developers with experience in other programming languages, but tutorials aren't enough. They don't teach Go's idioms, so developers end up recreating patterns that don't make sense in a Go context. This practical guide provides the essential background you need to write clear and idiomatic Go. No matter your level of experience, you'll learn how to think like a Go developer. Author Jon Bodner introduces the design patterns experienced Go developers have adopted and explores the rationale for using them. This updated edition also shows you how Go's generics support fits into the language. This book is targeted at developers who are looking to pick up a second (or fifth) language. The focus is on people who are new to Go. This ranges from those who don’t know anything about Go other than it has a cute mascot, to those who have already worked through a Go tutorial or even written some Go code. The focus for Learning Go isn’t just how to write programs in Go; it’s how to write Go idiomatically. More experienced Go developers can find advice on how to best use the newer features of the language. The most important thing is that the reader wants to learn how to write Go code that looks like Go.

Название: Triangle Mesh Watermarking and Steganography
Автор: Hang Zhou, Kejiang Chen, Zehua Ma
Издательство: Springer
Год: 2023
Страниц: 197
Язык: английский
Формат: pdf (true), epub
Размер: 23.9 MB

This book provides a systematic overview of watermarking and steganography methods for triangle meshes related to computer graphics and security. The significance of this research has been well recognized by the growing body of work on watermarking, steganography and steganalysis of 3D meshes. With the evolution of the CAD industry and real-world end-user applications such as virtual reality (VR) and 3D printing, 3D meshes have attracted world-wide attention. Besides, the flexible data structure of 3D geometry provides enough space to embed secret information, making it ideal for applications such as copyright protection and covert communication.

Название: Математические алгоритмы для программистов. 3D-графика, машинное обучение и моделирование на Python
Автор: Орланд Пол
Издательство: Питер
Год: 2023
Формат: pdf
Страниц: 752
Размер: 28,1 Мб
Язык: русский

Неважно, чем вы занимаетесь - большими данными, машинным обучением, компьютерной графикой или криптографией - без математики вам не обойтись! Везде сейчас требуются базовые знания и понимание алгоритмов. Практические примеры позволят легко разобраться с самыми необходимыми математическими понятиями. 300 упражнений и мини-проектов откроют вам новые возможности в освоении интересных и популярных IT-профессий. Вы познакомитесь с базовыми библиотеками Python, используемыми при разработке реальных приложений, и вспомните давно забытые основы линейной алгебры и матана.

Название: A Textbook of Data Structures and Algorithms, Volume 3 : Mastering Advanced Data Structures and Algorithm Design Strategies
Автор: G.A. Vijayalakshmi Pai
Издательство: Wiley-ISTE
Год: 2022
Страниц: 356
Язык: английский
Формат: pdf (true)
Размер: 10.9 MB

Data structures and algorithms is a fundamental course in Computer Science, which most undergraduate and graduate programs in computer science and other allied disciplines in science and engineering offer during the early stages of the respective programs, either as a core or as an elective course. The course enables students to have a much-needed foundation for efficient programming, leading to better problem solving in their respective disciplines. Volume 3 details an assortment of data structures, algorithm design strategies and their applications. Chapters 13–15 discuss hash tables, files, k-d trees and treaps. Chapter 16 discusses the search algorithms of linear search, transpose sequential search, interpolation search, binary search, Fibonacci search, skip list search and other search techniques. Chapter 17 elaborates on the internal sorting algorithms of bubble sort, insertion sort, selection sort, merge sort, shell sort, quick sort, heap sort, radix sort, counting sort and bucket sort, and Chapter 18 discusses the external sorting techniques of sorting with tapes, sorting with disks, polyphase merge sort and cascade merge sort. Chapters 19–21 detail the algorithm design strategies of divide and conquer, the greedy method and dynamic programming and their applications. Chapter 22 introduces the theories and concepts of NP-completeness.

Название: A Textbook of Data Structures and Algorithms, Volume 1: Mastering Linear Data Structures
Автор: G.A. Vijayalakshmi Pai
Издательство: Wiley-ISTE
Год: 2022
Страниц: 284
Язык: английский
Формат: pdf (true)
Размер: 10.25 MB

Efficient problem solving using computers, irrespective of the discipline or application, calls for the design of efficient algorithms. The inclusion of appropriate data structures is of critical importance to the design of efficient algorithms. In other words, good algorithm design must go hand in hand with appropriate data structures for an efficient program design to solve a problem. Data structures and algorithms is a fundamental course in Computer Science, which most undergraduate and graduate programs in computer science and other allied disciplines in science and engineering offer during the early stages of the respective programs, either as a core or as an elective course. The course enables students to have a much-needed foundation for efficient programming, leading to better problem solving in their respective disciplines. In fact, the book may either be independently used as a textbook since it is self-contained or serve as a companion for books discussing data structures and algorithms implemented in specific programming languages such as C, C++, Java, Python, and so on.

Название: A Textbook of Data Structures and Algorithms, Volume 2: Mastering Nonlinear Data Structures
Автор: G.A. Vijayalakshmi Pai
Издательство: Wiley
Год: 2022
Страниц: 304
Язык: английский
Формат: pdf (true), epub
Размер: 45.7 MB

Data structures and algorithms is a fundamental course in Computer Science, which enables learners across any discipline to develop the much-needed foundation of efficient programming, leading to better problem solving in their respective disciplines. Most of the well-known text books/monographs on this subject have discussed the concepts in relation to a programming language – beginning with Pascal and spanning a spectrum of them such as C, C++, C#, Java, Python and so on, essentially calling for ample knowledge of the language, before one proceeds to try and understand the data structure. There does remain a justification in this. The implementation of data structures in the specific programming language need to be demonstrated or the algorithms pertaining to the data structures concerned need a convenient medium of presentation and when this is the case, why not a programming language? Again, while some authors have insisted on using their books for an advanced level course, there are some who insist on a working knowledge of the specific programming language as a prerequisite to using the book. However, in the case of a core course, as it is in most academic programs, it is not uncommon for a novice or a sophomore to be bewildered by the “miles of code” that demonstrate or explain a data structure, rendering the subject difficult to comprehend.