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  • Добавил: literator
  • Дата: 4-11-2022, 06:13
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Learning Git: A Visual Approach for Using Git Successfully (4th Early Release)Название: Learning Git: A Visual Approach for Using Git Successfully (4th Early Release)
Автор: Anna Skoulikari
Издательство: O’Reilly Media, Inc.
Год: 2022-11-03
Страниц: 225
Язык: английский
Формат: epub, mobi
Размер: 10.2 MB

Learn the basics of Git in a simple, visual, and tangible manner. With this practical book, author Anna Skoulikari helps you build a mental model of how Git version control works so that you can get the most out of this powerful tool. Whether you're a developer, data professional, technical writer, designer, or product manager, you'll learn the basics of Git in a straightforward and approachable way. Learning Git uses storytelling principles not only to place lessons in a familiar context, but also to make the information more memorable. By introducing information in an incremental manner, this book makes all the content accessible so you don't get bogged down with unknown terms or concepts. This guide is ideal whether you're working on a shared document or managing your own version control project.
  • Добавил: literator
  • Дата: 4-11-2022, 05:22
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Computational Mechanics with Deep LearningНазвание: Computational Mechanics with Deep Learning: An Introduction
Автор: Genki Yagawa, Atsuya Oishi
Издательство: Springer
Год: 2023
Страниц: 408
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This book is intended for students, engineers, and researchers interested in both computational mechanics and Deep Learning. It presents the mathematical and computational foundations of Deep Learning (DL) with detailed mathematical formulas in an easy-to-understand manner. It also discusses various applications of Deep Learning in Computational Mechanics, with detailed explanations of the Computational Mechanics fundamentals selected there. Sample programs are included for the reader to try out in practice. This book is therefore useful for a wide range of readers interested in computational mechanics and Deep Learning.
  • Добавил: literator
  • Дата: 4-11-2022, 05:06
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Pure functional HTTP APIs in ScalaНазвание: Pure functional HTTP APIs in Scala
Автор: Jens Grassel
Издательство: Leanpub
Год: 2022-07-10
Страниц: 149
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.3 MB

Discover the pure functional side of HTTP API programming in Scala. This book is intended for the intermediate Scala programmer who is interested in functional programming and works mainly on the web service backend side. Ideally she has experience with libraries like Akka HTTP and Slick which are in heavy use in that area. However maybe you have wondered if we can't do better even though aforementioned projects are battle tested and proven. The answer to this can be found in this book which is intended to be read from cover to cover in the given order. Within the book the following libraries will be used: Cats, Cats Effect,http4s, Doobie, Refined, fs2, tapir, Monocle and probably others.
  • Добавил: literator
  • Дата: 4-11-2022, 04:47
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Modern C++ For Software Developers : Serious C++ DevelopmentНазвание: Modern C++ For Software Developers : Serious C++ Development
Автор: Karan Singh Garewal
Издательство: Leanpub
Год: 2022-10-08 (v.1.3)
Страниц: 566
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Modern C++ is a complex language. Modern C++ For Software Developers exposes all of the essential concepts and techniques of Modern C++ so that you can build reliable and correct applications with confidence. This book covers the language constructs from C++11, C++14, C++17 and C++20 that are essential for serious Modern C++ development. The ideal book for serious development in Modern C++. Supercharge your C++ development with this comprehensive and practical treatment of Modern C++ features and techniques that are essential for modern C++ software development. Mastery of these concepts will let you create correct and reliable C++ applications with confidence.
  • Добавил: literator
  • Дата: 4-11-2022, 02:57
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10 Refactorings to Boost your Clean Code Efficiency : Small steps to make your code more readableНазвание: 10 Refactorings to Boost your Clean Code Efficiency: Small steps to make your code more readable
Автор: Juntao Qiu
Издательство: Leanpub
Год: 2022-10-31
Язык: английский
Формат: pdf (true), epub
Размер: 21.1 MB

Want to learn the most useful but overlooked tips when cleaning up your code? Here I've put together the 10 most common refactorings that can make you a much more productive and efficient developer. A step-by-step guide for people who want to learn these most used code refactorings. With a simple but complete code snippet, we'll learn how to use IDE shortcuts to prettify the code slice by slice.
  • Добавил: literator
  • Дата: 4-11-2022, 02:04
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The Unity Shaders Bible: A linear explanation of shaders from beginner to advancedНазвание: The Unity Shaders Bible: A linear explanation of shaders from beginner to advanced
Автор: Fabrizio Espíndola
Издательство: Jettelly Publishing
Год: 2022 (0.1.2. version)
Страниц: 373
Язык: английский
Формат: pdf (true)
Размер: 45.5 MB

One of the biggest problems that video game developers have when they start studying shaders in Unity is that there is little information for beginners on the web. Whether you are an independent developer or focused on AAA projects, it can be a little daunting due to the technical nature of the knowledge necessary to develop these types of programs. Despite this challenge, Unity offers a significant advantage since it is multiplatform. It allows us to write our videogames only once and then export them to different devices, including consoles and smartphones. So, once we start our adventure into the world of shaders, we only need to write our code one time, and the software will take care of compiling it for the different platforms (OpenGL, Metal, Vulkan, Direct3D, GLES 20, GLES 3x).
  • Добавил: literator
  • Дата: 4-11-2022, 01:42
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Learn Physics with Functional Programming: A Hands-on Guide to Exploring Physics with HaskellНазвание: Learn Physics with Functional Programming: A Hands-on Guide to Exploring Physics with Haskell
Автор: Scott N. Walck
Издательство: No Starch Press
Год: 2023
Страниц: 648
Язык: английский
Формат: epub
Размер: 10.1 MB

This book teaches you to solve physics problems using the functional programming paradigm. Ideal for first-time programmers and science aficionados alike, it introduces the Haskell programming language and encourages the writing of beautiful code to match the elegant ideas of theoretical physics. Early chapters cover the basics of coding in Haskell, which has a powerful system of types capable of encoding important mathematical structures in physics, like vectors, derivatives, integrals, scalar fields, vector fields, and differential equations. Later sections of the book explore Newtonian mechanics and electromagnetics—two central pillars of theoretical physics. In addition, you’ll get a deep look into source code, and discover why Haskell’s high-order functions and referential transparency serve physics so well.
  • Добавил: literator
  • Дата: 3-11-2022, 14:26
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Statistical Modeling in Machine Learning: Concepts and ApplicationsНазвание: Statistical Modeling in Machine Learning: Concepts and Applications
Автор: Tilottama Goswami, G.R. Sinha
Издательство: Academic Press, Elsevier
Год: 2023
Страниц: 398
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Statistical Modeling in Machine Learning: Concepts and Applications presents the basic concepts and roles of statistics, exploratory data analysis and Machine Learning. The various aspects of Machine Learning (ML) are discussed along with basics of statistics. Concepts are presented with simple examples and graphical representation for better understanding of techniques. This book takes a holistic approach – putting key concepts together with an in-depth treatise on multi-disciplinary applications of Machine Learning. New case studies and research problem statements are discussed, which will help researchers in their application areas based on the concepts of statistics and Machine Learning. The knowledge of statistics is considered as prerequisite for in-depth understanding of Machine Learning. The existing books on statistics most of the time cater to readers from mathematics and statistics backgrounds. This book will be useful to statisticians, programmers, Machine Learning practitioners, and all those who apply Machine Learning to the benefit of innovating and automating to solve various Machine Learning tasks such as classification, predictive analytics, regression, clustering, recommending, etc.
  • Добавил: umkaS
  • Дата: 3-11-2022, 08:40
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Название: Delphi 7 для профессионалов
Автор: Кэнту М.
Издательство: Питер
Год: 2004
Cтраниц: 1076
Формат: djvu
Размер: 11 мб
Язык: русский

Среда Delphi была и до сих пор является наилучшим сочетанием объектно-ориентированного и визуального программирования не только для Windows, но теперь уже и для Linux, а в ближайшем будущем — и для .NET. В этой книге автор попытался практически полностью исключить справочный материал, сконцентрировавшись на технологиях эффективного использования Delphi.
  • Добавил: literator
  • Дата: 3-11-2022, 01:57
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Exploring Modeling with Data and Differential Equations Using RНазвание: Exploring Modeling with Data and Differential Equations Using R
Автор: John Zobitz
Издательство: CRC Press
Год: 2023
Страниц: 379
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Exploring Modeling with Data and Differential Equations Using R provides a unique introduction to differential equations with applications to the biological and other natural sciences. Additionally, model parameterization and simulation of stochastic differential equations are explored, providing additional tools for model analysis and evaluation. This unified framework sits "at the intersection" of different mathematical subject areas, Data Science, statistics, and the natural sciences. The text throughout emphasizes data science workflows using the R statistical software program and the tidyverse constellation of packages. Only knowledge of calculus is needed; the text’s integrated framework is a stepping stone for further advanced study in mathematics or as a comprehensive introduction to modeling for quantitative natural scientists. The primary tools we will use to analyze models for this book are R and RStudio.