LitMy.ru - литература в один клик

  • Добавил: literator
  • Дата: 12-03-2021, 12:49
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A Guide to Qt 6: Beginner's Guide to QtНазвание: A Guide to Qt 6: Beginner's Guide to Qt
Автор: Ben Coppicus
Издательство: Independently published
Год: 2021
Страниц: 357
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Ever wanted to create your own Desktop, or Mobile Applciations? And the best way to do it is by using the Qt Framework. It is a C++ Framework with which you can create powerfull fully functional applciationsfor mobile and desktop platforms. And in this book that is exactly what you are going to learn. This books purpose can be boiled down to the fact that by the end of this book you should be able to make your own applications with Qt. May they be mobile or desktop applications. I am not all knowing, or the only voice on matters in Qt. But I know how to use it and how to best get started using Qt, and that is in my opinion the most important part. I am not trying to push a specific way of using Qt or programming onto you, just showing mine.
  • Добавил: buratino
  • Дата: 12-03-2021, 12:04
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Название: Algorithms: Design and Analysis (de Gruyter Textbook)
Автор: Mangey Ram, Preeti Malik, Sushil C. Dimri
Издательство: De Gruyter
Год: 2021
Формат: true pdf/epub/mobi
Страниц: 178
Размер: 10 Mb
Язык: English

Algorithms play a central role both in the theory and in the practice of computing. The goal of the authors was to write a textbook that would not trivialize the subject but would still be readable by most students on their own. The book contains over 120 exercises. Some of them are drills; others make important points about the material covered in the text or introduce new algorithms not covered there. The book also provides programming projects. From the Table of Contents: Chapter 1: Basic knowledge of Mathematics, Relations, Recurrence relation and Solution techniques, Function and Growth of functions. Chapter 2: Different Sorting Techniques and their analysis
  • Добавил: buratino
  • Дата: 12-03-2021, 11:30
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Название: Artificial Intelligence in Data Mining: Theories and Applications
Автор: D. Binu (Editor), B.R. Rajakumar (Editor)
Издательство: Academic Press
Год: 2021
Формат: True PDF
Страниц: 290
Размер: 13 Mb
Язык: English

Artificial Intelligence in Data Mining: Theories and Applications offers a comprehensive introduction to data mining theories, relevant AI techniques, and their many real-world applications. This book is written by experienced engineers for engineers, biomedical engineers, and researchers in neural networks, as well as computer scientists with an interest in the area.
  • Добавил: gol8425
  • Дата: 12-03-2021, 10:54
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Название: Представляем C#
Автор: Вилле К.
Издательство: ДМК Пресс
Год: 2008
Страниц: 183
Формат: pdf
Размер: 13 мб
Качество: хорошее
Язык: русский

В книге рассказывается о новом языке программирования C#. Он происходит от языка C++ и наследует его преимущества, добавляя к ним новые: межъязыковую интеграцию, управление памятью, обработку исключений. C# также обеспечивает повышенную безопасность, контроль версий и др. В книге приведено много примеров, помогающих быстро и легко освоить этот язык.
  • Добавил: buratino
  • Дата: 12-03-2021, 09:17
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Название: Clean C++: Sustainable Software Development Patterns and Best Practices with C++ 17
Автор: Stephan Roth
Издательство: Apress
Год: 2017
ISBN: 1484227921
Формат: epub, pdf
Страниц: 289
Размер: 10,6 mb
Язык: English

Write maintainable, extensible, and durable software with modern C++.
  • Добавил: buratino
  • Дата: 12-03-2021, 02:30
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Название: Mastering Python for Bioinformatics (Early Release)
Автор: Ken Youens-Clark
Издательство: O’Reilly Media
Год: 2021
Формат: epub/pdf(conv.)
Страниц: 325
Размер: 13.9 Mb
Язык: English

Life scientists today urgently need training in bioinformatics skills. Too many bioinformatics programs are poorly written and barely maintained--usually by students and researchers who've never learned basic programming skills. This practical guide shows postdoc bioinformatics professionals and students how to exploit the best parts of Python to solve problems in biology while creating documented, tested, reproducible software.
Ken Youens-Clark, author of Tiny Python Projects (Manning), demonstrates not only how to write effective Python code but also how to use tests to write and refactor scientific programs. You'll learn the latest Python features and tools--including linters, formatters, type checkers, and tests--to create documented and tested programs. You'll also tackle 14 challenges at Rosalind, a problem-solving platform for learning bioinformatics and programming.
  • Добавил: buratino
  • Дата: 11-03-2021, 22:09
  • Комментариев: 0
Название: Righting Software
Автор: Juval Lowy
Издательство: Addison-Wesley Professional
Год: 2019
Формат: true pdf, epub
Страниц: 480
Размер: 22.2 Mb, 10.3 Mb
Язык: English

Right Your Software and Transform Your Career
Righting Software presents the proven, structured, and highly engineered approach to software design that master architect Juval Lowy has practiced and taught around the world. Although companies of every kind have successfully implemented his original design ideas across hundreds of systems, these insights have never before appeared in print.
  • Добавил: literator
  • Дата: 11-03-2021, 20:03
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Understanding Linux Kernel : Absolute Beginners Guide : The most simplified and easiest book to understand, learn, and workНазвание: Understanding Linux Kernel : Absolute Beginners Guide : The most simplified and easiest book to understand, learn, and work
Автор: Md Mahbubur Rahman
Издательство: New York Publishing
Год: 2021
Страниц: 140
Язык: английский
Формат: pdf, mobi, epub
Размер: 10.1 MB

In a computing system, a kernel is the heart of an operating system, and kernel is responsible to manage & run core functionalities and features of an operating system. Kernels have a different type; based on purpose and targeted mechanism. Examples of some kernels are monolithic, micro, modular, and others. Linux inherits the "Monolithic" type of kernel. This kernel was first released by Linus Torvalds in 1991. The Linux kernel is a relatively small part of the full Linux System and it is the core that is responsible for how well the system will work. If you want to write code for Linux Kernel, you are welcome; as Linux kernel is an open-source project. Before getting started you should understand the tech part along with how Linux Kernel Developer Community works. For example, how code of conflict arises and resolves, how to submit process, Linux kernel coding style, and others.
  • Добавил: Maurix
  • Дата: 11-03-2021, 16:31
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Название: Probability for Machine Learning: Discover How To Harness Uncertainty With Python
Автор: Джейсон Браунли
Издательство: Machine Learning Mastery
Год: 2020
Формат: PDF
Страниц: 319
Размер: 10 Mb
Язык: English

Probability is the bedrock of machine learning. You cannot develop a deep understanding and application of machine learning without it.
Cut through the equations, Greek letters, and confusion, and discover the topics in probability that you need to know.
Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover the importance of probability to machine learning, Bayesian probability, entropy, density estimation, maximum likelihood, and much more.
  • Добавил: literator
  • Дата: 11-03-2021, 14:01
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The Application of Artificial Intelligence: Step-by-Step Guide from Beginner to ExpertНазвание: The Application of Artificial Intelligence: Step-by-Step Guide from Beginner to Expert
Автор: Zoltan Somogyi
Издательство: Springer
Год: 2021
Страниц: 448
Язык: английский
Формат: pdf (true)
Размер: 19.8 MB

This book presents a unique, understandable view of Machine Learning using many practical examples and access to free professional software and open source code. The user-friendly software can immediately be used to apply everything you learn in the book without the need for programming. After an introduction to Machine Learning (ML) and Artificial Intelligence (AI), the chapters in Part II present deeper explanations of Machine Learning algorithms, performance evaluation of Machine Learning models, and how to consider data in Machine Learning environments. In Part III the author explains automatic speech recognition, and in Part IV biometrics recognition, face- and speaker-recognition.