Название: 1000 Python Examples
Автор: Gabor Czabo
Издательство: Leanpub
Год: 2020-09-21
Страниц: 1069
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.1 MB

Goal: You will come out from the workshop knowing: 1) What are Fixtures? 2) What is Mocking and Monkey Patching? 3) When to use them? 4) What are the dangers? 5) Experiment with mocking in various situations.

Название: Computational Science
Автор: Kunwar Singh Vaisla
Издательство: Arcler Press
Год: 2021
Страниц: 266
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

The book describes Computational Science as a field related to the design, execution and use of arithmetical models to evaluate and solve scientific complications. Generally, the word refers to the application of computers to simulate or numerically analyze scientific systems or processes. This book claims that because of the complexity of mathematics, massive amounts of calculations involved, or both of them, computational science enables people to perform tasks that were difficult to do before. The author claims that although computational models can't replace the laboratory, they have undoubtedly become a complex part of the entire search for scientific understanding. Computational Science also allows researchers to build models for making predictions of what might happen in real life, such as weather pattern predictions.

Название: Computer Science, Algorithms and Complexity
Автор: Adele Kuzmiakova
Издательство: Arcler Press
Год: 2021
Страниц: 276
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

The book defines complexity as a numerical function T (n)-the relationship between time and input size n, as one of the basic ideas of computer science. The computational complexity is categorized by algorithm based on its nature and function. The (computational) complexity of the algorithm is a measurement of the ratio of computational resources (time and space) consumed when a particular algorithm is running. For these issues, the book tries to locate heuristic algorithms which can almost explain the problem and operate in a reasonable timeframe. Different kinds of algorithms are described such as graph and network algorithms, algebraic algorithms, parallel algorithms and randomized algorithms.

Название: Artificial intelligence and its Applications
Автор: Ivan Stanimirovic, Olivera M. Stanimirovic
Издательство: Arcler Press
Год: 2021
Страниц: 198
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

The advancement of technology, its uses and how they influence on people have generated a great impact on today's society. This book intends to expand our knowledge on the subject and better understand the current state of the art in this field. It is something we have to be aware of, since it is increasingly present in our lives. We must understand the new technologies in order to use them correctly and optimize them in the future. The problem that certain jobs can be replaced by machines, generates a change in the way of human thinking and doing, which must adopt these technologies and trained to use them. In this book, the changes to the world caused by the use of Artificial Intelligence and Machine Learning are investigated. It investigates the impact of the use of artificial intelligence in everyday life, emphasizing technologies such as Artificial Intelligence, Machine Learning and Deep Learning.

Название: Handbook of Artificial Intelligence for Music
Автор: Eduardo Reck Miranda
Издательство: Springer
Год: 2021
Формат: PDF
Страниц: 1007
Размер: 26,5 Mb
Язык: English

This book presents comprehensive coverage of the latest advances in research into enabling machines to listen to and compose new music. It includes chapters introducing what we know about human musical intelligence and on how this knowledge can be simulated with AI. The development of interactive musical robots and emerging new approaches to AI-based musical creativity are also introduced, including brain–computer music interfaces, bio-processors and quantum computing.

Название: Техника программирования
Автор: Проценко В.С., Чаленко П.И., Сорока Р.А.
Издательство: Вища школа
Год: 1990
ISBN: 5-11-001974-6
Формат: pdf
Страниц: 185
Размер: 20,8 Мб
Язык: русский

Изложены широко применяемые методы и приемы программирования: рекурсия, сортировка, поиск и выбор, аналитические преобразования выражений, алгоритмы на графах, исчерпывающий поиск.

Название: De-Coding the Technical Interview Process
Автор: Emma Bostian
Издательство: technicalinterviews.dev
Год: 2020
Страниц: 247
Язык: английский
Формат: pdf (true), epub
Размер: 35.6 MB

Learn how to nail every aspect of your next tech interview In many ways the technical interview is a way to evaluate candidates for performance anxiety more than it serves to prove their technical capabilities. The code examples throughout this book are in jаvascript. While many of the concepts we’ll discuss will be conceptual and relevant for all software developers, I am a jаvascript developer and will dive a bit deeper into web technologies. This book will not be a deep-dive into HTML, CSS, or jаvascript but will touch on all the topics you should study before a technical interview. However, I will provide resources to learn more about these technologies and concepts.

Название: Decoupled Django: Understand and Build Decoupled Django Architectures for jаvascript Front-ends
Автор: Valentino Gagliardi
Издательство: Apress
Год: 2021
Страниц: 244
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Apply decoupling patterns, properly test a decoupled project, and integrate a Django API with React, and Vue.js. This book covers decoupled architectures in Django, with Django REST framework and GraphQL. With practical and simple examples, you’ll see firsthand how, why, and when to decouple a Django project.

Название: Advanced Forecasting with Python
Автор: Joos Korstanje
Издательство: Apress
Год: 2021
Формат: True (PDF, ePUB)
Страниц: 294
Размер: 13,2 Mb
Язык: English

Cover all the machine learning techniques relevant for forecasting problems, ranging from univariate and multivariate time series to supervised learning, to state-of-the-art deep forecasting models such as LSTMs, recurrent neural networks, Facebook’s open-source Prophet model, and Amazon’s DeepAR model.

Название: Data Science at the Command Line, 2nd Edition (Early Release)
Автор: Jeroen Janssens
Издательство: O’Reilly Media
Год: 2021-06-30: Fourth Release
Формат: ePUB
Страниц: 351
Размер: 16,2 Mb
Язык: English

This thoroughly revised guide demonstrates how the flexibility of the command line can help you become a more efficient and productive data scientist. You'll learn how to combine small yet powerful command-line tools to quickly obtain, scrub, explore, and model your data. To get you started, author Jeroen Janssens provides a Docker image packed with over 80 tools–useful whether you work with Windows, macOS, or Linux.