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Название: Программирование на PYTHON в среде IDLE
Автор: Шевченко Л.Г., Дружинина Т.В.
Издательство: Новосибирск: Новосибирский государственный технический университет
Год: 2020
Формат: pdf
Страниц: 195
Размер: 36 mb
Язык: Русский

Язык программирования общего назначения Python широко применяется в настоящее время в различных областях. Учебное пособие предназначено для студентов, обучающихся по направлению «Электроэнергетика и электротехника». Может быть полезно студентам для подготовки курсовых и квалификационных работ, а также магистрантам и аспирантам при проведении научных исследований. Практическая часть ориентирована на выполнение наиболее часто встречающихся математических задач.

Название: Разработка программных коллекций данных
Автор: Романенко Т.А.
Издательство: Новосибирск: Новосибирский государственный технический университет
Год: 2020
Формат: pdf
Страниц: 116
Размер: 22 mb
Язык: русский

Предназначено для изучения основных типов программных коллекций, хранящих множества данных, фундаментальных структур данных и алгоритмов управления ими. Также в пособии предлагается к применению технология проектирования и программирования коллекций, основывающаяся на объектно-ориентированном подходе в программировании.

Название: Приемы объектно-ориентированного проектирования. Паттерны проектирования
Автор: Эрик Гамма, Ричард Хелм, Р. Джонсон, Дж. Влиссидес
Издательство: Питер
Год: 2015
Серия: Библиотека программиста
Язык: русский
Формат: PDF
Страниц: 368
Размер: 23 Мб

В данной книге представлены простые и понятные решения задач, возникающих в объектно-ориентированном проектировании. Паттерны появились, потому что многие разработчики искали пути повышения гибкости и степени повторного использования своих программ. Найденные решения воплощены в краткой и легко применимой на практике форме.

Название: Pandas Workout: 200 exercises to make you a stronger data analyst (Final Release)
Автор: Reuven M. Lerner
Издательство: Manning Publications
Год: 2024
Страниц: 442
Язык: английский
Формат: pdf (true)
Размер: 14.3 MB

Practice makes perfect Pandas. Work out your Pandas skills against dozens of real-world challenges, each carefully designed to build an intuitive knowledge of essential Pandas tasks. Discover 50 exercises that will strengthen your Pandas skills to a level of automatic fluency. You’ll test yourself against common pandas challenges such as data cleaning, and explore real-world datasets such as New York Taxis, Kickstarter projects, and global tourist spending. Detailed explanations help guide your success and make your new skills stick. You’ll even get a big boost to productivity, with tasks that used to mean a trip to StackOverflow now a natural part of your skillset. Pandas approaches problems differently than Python. The syntax is the same, but the data structures are different, and the way you structure your solutions is also different. Pandas is so vast that it’s easy to lose track of all the techniques. And unlike the core Python language, which tries to adhere to the maxim “There should be only one way to do it,” there are often many ways to accomplish the same task in Pandas. Knowing which of these ways is fastest to execute and easiest to maintain isn’t always obvious, even (or especially) if you’re an experienced Python developer.

Название: Build AI-Enhanced Audio Plugins with C++
Автор: Matthew John Yee-King
Издательство: Routledge
Год: 2024
Страниц: 362
Язык: английский
Формат: pdf (true)
Размер: 18.2 MB

Build AI-Enhanced Audio Plugins with C++ explains how to embed Artificial Intelligence (AI) technology inside tools that can be used by audio and music professionals, through worked examples using Python, C++ and audio APIs which demonstrate how to combine technologies to produce professional, AI-enhanced creative tools. The first aim of this book is to show you how to build AI-enhanced music software. But I will take a different approach to many other AI and signal processing books. I have carefully developed this approach to solve specific problems and to address particular challenges you will face as a developer of AI-enhanced music software. My second aim is to show you how to construct the technology in a way that makes it accessible to musicians and audio professionals. Knowing how to build and run AI-enhanced music systems on your machine is one thing. A quirky Python script hacked together to work on your setup is acceptable for research and experimentation but you will have trouble getting musicians to use it. If you are a student programmer at the undergraduate or postgraduate level, you will find new knowledge in all areas of the book. You might be assigned all or part of this book as a textbook for a course you are studying, or you might have discovered the book independently. The book will teach you some C++ programming along the way, as well as helping you to understand how to use an IDE and associated tools to develop software. If you are a Machine Learning engineer or AI scientist wishing to apply your skills in the music software domain, the book will help you do that. You will be familiar with the concepts of machine learning models, training and inference, but you will likely need to become more familiar with digital signal processing techniques. As a Machine Learning engineer, you likely work primarily in Python or a specialised language. The book covers some Python but is mainly focused on C++ programming.

Название: Gradle Goodness Notebook: Experience Gradle through code snippets
Автор: Hubert A. Klein Ikkink
Издательство: Leanpub
Год: 2024-03-23
Страниц: 274
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.1 MB

Learn more about Gradle features with code snippets and short articles. The articles and code will get you started quickly and will give more insight in Gradle. When I started to learn about Gradle I wrote done little code snippets with features of Gradle I found interesting. To access my notes from different locations I wrote the snippets with a short explanation in a blog: Messages from mrhaki. I labeled the post as Gradle Goodness, because I thought this is good stuff, and that is how the Gradle Goodness series began. The blog posts turned out to be a useful resource for people learning and using Groovy in their every day programming. The Gradle Goodness Notebook contains the blog posts about Gradle previously mentioned on my blog. The posts have been edited slightly so they can be used for the book. The book gives a broad overview of all the great features we can find in the Gradle build tool.

Название: Computer Algorithms: Correctness Proofs and Performance Analyses
Автор: Shashank K. Mehta
Издательство: PHI Learning Private Limited
Год: 2023
Страниц: 473
Язык: английский
Формат: pdf (true)
Размер: 34.4 MB

The book is self-contained and includes the desired mathematical background. The book covers most of the data structures and classical graphs algorithms, string algorithms, matroid algorithms, linear algebra algorithms, flow and circulation algorithms, linear programming solvers, and integer algorithms. It covers several topics which are rarely covered in the existing textbooks. Pseudocode is provided for every algorithm. Proof of correctness and the complexity analysis is given for every algorithm. Examples are also provided to help explain several algorithms. The book is designed for an introductory as well as an advance course in the design and analysis of algorithms. It is intended for undergraduate as well as postgraduate students of computer science and engineering. Some of the topics covered in the book are as follows. i) String homomorphism and isomorphism ii) Detailed proof of graph matching algorithm including augmenting path computation iii) Gallai Edmonds decomposition algorithm iv) Matroid Intersection algorithm Klein. There are excellent textbooks1 available for an undergraduate course on algorithms. However, the same cannot be said for graduate level books on the subject. A graduate level book requires rigorous treatment of two issues for each algorithm: the correctness proof and the time/space complexity analysis. The motive behind writing this book was to develop a textbook covering most of the traditional topics but with complete proof of correctness and complexity analysis. The book is not only for a graduate student but also for an advance undergraduate student as well. It is self contained so that an undergraduate student can follow the subject without having to study other books.

Название: Software Engineering, 2nd Edition
Автор: David C. Kung
Издательство: McGraw Hill
Год: 2024
Страниц: 687
Язык: английский
Формат: pdf (true), epub (true)
Размер: 24.5 MB, 71.1 MB

The new edition of Software Engineering presents a step-by-step methodology that integrates Modeling and Design, UML, Patterns, Test-Driven Development, Quality Assurance, Configuration Management, and Agile Principles throughout the life cycle. The overall approach is casual and easy to follow, with many practical examples that show the theory at work. The author uses his experiences as well as real-world stories to help the reader understand software design principles, patterns, and other software engineering concepts. The book also provides stimulating exercises that go far beyond the type of question that can be answered by simply copying portions of the text.

Название: Грокаем глубокое обучение
Автор: Эндрю Траск
Издательство: Питер
Год: 2020
Cтраниц: 350
Формат: pdf/djvu
Размер: 15 мб
Язык: русский

Глубокое обучение – это раздел искусственного интеллекта, цель которого научить компьютеры обучаться с помощью нейронных сетей – технологии, созданной по образу и подобию человеческого мозга. Онлайн-переводчики, беспилотные автомобили, рекомендации по выбору товаров именно для вас и виртуальные голосовые помощники – вот лишь несколько достижений, которые стали возможны, благодаря глубокому обучению.

Название: Learn Enough Python to Be Dangerous: Software Development, Flask Web Apps, and Beginning Data Science with Python (Final)
Автор: Michael Hartl
Издательство: Addison-Wesley Professional/Pearson Education
Год: 2023
Страниц: 445
Язык: английский
Формат: pdf (true)
Размер: 10.6 MB

All You Need to Know, and Nothing You Don't, to Solve Real Problems with Python. Python is one of the most popular programming languages in the world, used for everything from shell scripts to web development to data science. As a result, Python is a great language to learn, but you don't need to learn "everything" to get started, just how to use it efficiently to solve real problems. You’ll then use this package in a simple dynamic web application built using the Flask web framework, which you’ll also deploy to the live Web. As a result, Learn Enough Python to Be Dangerous is especially appropriate as a prerequisite to learning web development with Python. Data Science is a rapidly developing field that combines tools from computation and statistics to create insights and draw conclusions from data. Luckily, there is broad agreement that Python is an excellent tool for Data Science, whatever it is exactly.