Название: Geometry for Programmers (MEAP v10)
Автор: Oleksandr Kaleniuk
Издательство: Manning Publications
Год: 2022
Страниц: 644
Язык: английский
Формат: pdf, epub
Размер: 31.9 MB

I believe that knowing the math behind your tools, makes you a better engineer. This is true for mechanical engineering, this is true for electrical engineering, and this should be true for software engineering as well. If you work with game engines or CAD frameworks, geometry is your math. Knowing the geometry behind your framework makes you a better programmer. Programming is hard. Building large robust software systems is probably the most complex activity on earth. But more often than not, the core math behind these systems is surprisingly simple. You don’t have to be good at math to enjoy it. We will delegate all the non-trivial math to SymPy – a Python library that does your math for you. The book addresses geometry but it speaks in the programmer’s language.

Название: ReactJS for Jobseekers: The Only Guide You Need to Learn React and Crack Interviews
Автор: Qaifi Khan
Издательство: BPB Publications
Год: 2023
Страниц: 280
Язык: английский
Формат: epub (true)
Размер: 11.0 MB

Create High-performance, Dynamic Single-page Applications Using the Most Popular front-end Framework - ReactJS. When you talk about front-end development, the first thing that comes to any tech evangelist’s mind is the latest front-end frameworks like ReactJS, VueJS, or even Angular. If you are in the tech industry or are interested in front-end development, then we are pretty sure you must have heard about at least one of these frameworks. Based on its popularity and industry acceptance, ReactJS is leading by miles. This book will help you learn everything you need to know about ReactJS to start working as a front-end developer.

Название: A Practical Guide to Level Design: From Theory to Practice, Diplomacy and Production
Автор: Ben Bauer
Издательство: CRC Press
Год: 2023
Страниц: 375
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Written by an AAA industry expert with over 20 years of experience, this book offers comprehensive coverage of the practical skills that all successful level designers need to have. It covers everything from practical production skills to the social and soft skills required to thrive in the gaming industry. This book begins with a theoretical and abstract approach that sets a common language for the later hard-skill applications and practical examples. These later chapters cover a wealth of practical skills for use during the concept phase, while creating layouts, scripting, and working with AI. This book includes essential chapters on topics such as social skills, soft skills, world-building, level design direction, production, as well as how to gain employment in the industry. Any type of text-based scripting or, generally speaking, programming is a realistic possibility for any designer. Lua, C++, and C# are just common examples for bigger gaming engines like Unity, Unreal, or CryEngine. Also, languages like jаvascript can act as a quick prototyping tool.

Название: Python and Machine Learning
Автор: Bernd Klein
Издательство: Bodenseo
Год: 2021
Страниц: 453
Язык: английский
Формат: pdf
Размер: 26.2 MB

Not only in Machine Learning but also in general life, especially business life, you will hear questiones like "How accurate is your product?" or "How precise is your machine?". When people get replies like "This is the most accurate product in its field!" or "This machine has the highest imaginable precision!", they feel fomforted by both answers. Shouldn't they? Indeed, the terms accurate and precise are very often used interchangeably. We will give exact definitions later in the text, but in a nutshell, we can say: Accuracy is a measure for the closeness of some measurements to a specific value, while precision is the closeness of the measurements to each other. These terms are also of extreme importance in Machine Learning (ML). We need them for evaluating ML algorithms or better their results.

Название: Applied Python
Автор: Bernd Klein
Издательство: Bodenseo
Год: 2021
Страниц: 111
Язык: английский
Формат: pdf
Размер: 10.2 MB

System programming (also known as systems programming) stands for the activity of programming system components or system software. System programming provides software or services to the computer hardware, while application programming produces software which provides tools or services for the user. "System focused programming" serves as an abstraction layer between the application, i.e. the Python script or program, and the operating system, e.g. Linux or Microsoft Windows. By means of such an abstraction layer it is possible to implement platform independent applications in Python, even if they access operating specific functionalities. Python provides various modules to interact with the operating system. Therefore Python is well suited for system programming, or even platform independent system programming. This is one of the reasons by the way why Python is wrongly considered by many as a scripting language. The proper way to say it: Python is a full-fledged programming language which can be easily used as a scripting language. The general advantages of Python are valid in system focused programming.

Название: Python Tutorial
Автор: Bernd Klein
Издательство: Bodenseo
Год: 2021
Страниц: 610
Язык: английский
Формат: pdf
Размер: 19.6 MB

So, what about the name "Python"? Most people think about snakes, and even the logo depicts two snakes, but the origin of the name has its root in British humour. Guido van Rossum, the creator of Python, wrote in 1996 about the origin of the name of his programming language: "Over six years ago, in December 1989, I was looking for a 'hobby' programming project that would keep me occupied during the week around Christmas. My office ... would be closed, but I had a home computer, and not much else on my hands. I decided to write an interpreter for the new scripting language I had been thinking about lately: a descendant of ABC that would appeal to Unix/C hackers. I chose Python as a working title for the project, being in a slightly irreverent mood (and a big fan of Monty Python's Flying Circus)."

Название: Python Data Analysis Numpy, Matplotlib and Pandas
Автор: Bernd Klein
Издательство: Bodenseo
Год: 2021
Страниц: 514
Язык: английский
Формат: pdf
Размер: 19.2 MB

This tutorial can be used as an online course on Numerical Python as it is needed by Data Scientists and Data Analysts. Data science is an interdisciplinary subject which includes for example statistics and computer science, especially programming and problem solving skills. Data Science includes everything which is necessary to create and prepare data, to manipulate, filter and clense data and to analyse data. Data can be both structured and unstructured. We could also say Data Science includes all the techniques needed to extract and gain information and insight from data. Python is a general-purpose language and as such it can and it is widely used by system administrators for operating system administration, by web developpers as a tool to create dynamic websites and by linguists for natural language processing tasks. Being a truely general-purpose language, Python can of course - without using any special numerical modules - be used to solve numerical problems as well. So far so good, but the crux of the matter is the execution speed. If we use Python in combination with its modules NumPy, SciPy, Matplotlib and Pandas, it belongs to the top numerical programming languages.

Название: Профессиональное руководство по SQL Server: хранимые процедуры, XML, HTML
Автор: Хендерсон К.
Издательство: СПб.: Питер
Год: 2005
Cтраниц: 620
Формат: pdf
Размер: 26 мб
Язык: русский

Книга посвящена философии программирования в Transact-SQL. Она объясняет, как применять эту философию для создания собственных способов кодирования и решения повседневных проблем. В ней помимо основной темы - хранимых процедур - раскрыто множество вспомогательных, среди которых XML, HTML, .NET. Причина этого проста: когда вы создаете реальное программное обеспечение, вам всегда приходится работать с несколькими технологиями.

Название: Компьютерное зрение. Передовые методы и глубокое обучение
Автор: Рой Дэвис, Мэтью Терк
Издательство: ДМК Пресс
Год: 2022
Страниц: 692
Язык: русский
Формат: pdf
Размер: 42,4 MB

Эта книга рассказывает о передовых методах компьютерного зрения. Показано, как искусственный интеллект обнаруживает признаки и объекты, на каких данных он обучается, на чем основано распознавание лиц и действий, отслеживание аномалий. Особое внимание уделяется методам глубокого обучения. Все ключевые принципы проиллюстрированы примерами из реальной практики. Книга адресована исследователям и практикам в области передовых методов компьютерного зрения, а также тем, кто изучает эту технологию самостоятельно или в рамках вузовского курса. Миновало почти десятилетие с тех пор, как произошел прорыв в разработке и применении глубоких нейронных сетей (deep neural network, DNN), и их последующий прогресс можно почти без преувеличения назвать выдающимся. Правда, этому прогрессу значительно способствовало появление специального оборудования в виде мощных графических процессоров.

Название: Hyperparameter Tuning for Machine and Deep Learning With R: A Practical Guide
Автор: Eva Bartz, Thomas Bartz-Beielstein. Martin Zaeffere
Издательство: Springer
Год: 2023
Страниц: 327
Язык: английский
Формат: pdf (true), epub
Размер: 43.3 MB

Hyperparameter tuning? Is this relevant in practice? Is it not rather an academic gimmick? This book provides a wealth of hands-on examples that illustrate how hyperparameter tuning can be applied in practice and gives deep insights into the working mechanisms of Machine Learning (ML) and Deep Learning (DL) methods. Programming code is provided so that users can reproduce the results. The aim of the book is to equip readers with the ability to achieve better results with significantly less time, costs, effort and resources using the methods described here. As in Chap. 10, we use Keras and TensorFlow to implement the neural networks. However, we will perform the complete learning task within Python, using the R package reticulate to explicitly interface between the R-based tuner and the Python-based learning task (rather than implicitly via R ’s keras package). On the one hand, this will demonstrate how to interface with different programming languages (i.e., if your model is not trained in R). On the other hand, this is a necessary step, because the respective environment is only available in Python (i.e., the toy problem).