Название: Microsoft Python Certification Exam 98-281 & PCEP –Preparation Guide: Introduction To Programming Using Python, PCEP
Автор: R. Raman, Dhyanashri Raman, Archith Raman
Издательство: Raman Publications
Год: 2021
Страниц: 155
Язык: английский
Формат: pdf, azw3, mobi, epub
Размер: 10.1 MB

Microsoft Certification Exam: 98-281 & PCEP Certified entry level Python programmer certification Guide. This exam guide prepares a student to get a Microsoft certification Exam-98-281 Introduction to programming using Python. This exam guide also prepares the student to get a PCEP – Certified entry level Python Programmer, awarded by the Python institute. This guide assumes certain level of programming knowledge. It is not a beginner text book.

Название: The Craft and Science of Game Design: A Video Game Designer's Manual
Автор: Philippe O'Connor
Издательство: CRC Press
Год: 2021
Формат: True PDF
Страниц: 134
Размер: 10.9 Mb
Язык: English

The Craft and Science of Game Design: A Video Game Designer’s Manual goes into the nuts and bolts of video game development from the perspective of a veteran designer with more than 20 years of experience in the industry. It covers the psychology and biology of why people play games and goes in depth on the techniques and tricks professional game designers use to be successful in game development. If you are looking to make a career in video games, or are already in the industry, the insights and hard-earned lessons contained in this book are sure to be useful at all levels of the profession.

Название: C# for Unity: Beginning C# Programming with Unity, Second Edition
Автор: Ariadna Moore, Alexander Aronowitz
Издательство: NLN lnc
Год: 2021
Страниц: 232
Язык: английский
Формат: pdf, azw3, mobi, epub
Размер: 10.1 MB

Unity is a cross-platform development platform initially created for developing games but is now used for a wide range of things such as: architecture, art, children's apps, information management, education, entertainment, marketing, medical, military, physical installations, simulations, training, and many more. Unity takes a lot of the complexities of developing games and similar interactive experiences and looks after them behind the scenes so people can get on with designing and developing their games. These complexities include graphics rendering, world physics and compiling. More advanced users can interact and adapt them as needed but for beginners they need not worry about it.

Название: Star Ship Explorer: A game made using Scratch 3
Автор: Morag Hughson
Издательство: Independently published
Год: 2020
Страниц: 207
Язык: английский
Формат: pdf, azw3, epub
Размер: 31.5 MB

Scratch programming is real programming. While it may have been designed with children in mind, it teaches all the concepts that programmers need to learn, loops, if tests, code encapsulation, variables and more. Programming is a creative process. The programs you create can do anything. They are limited only by the imagination of the programmer. This book aims to inspire that imagination by immersing the reader in a more involved project. Programming is also an iterative process. Large programs are not produced instantaneously, but instead grow and develop as functions and features are added incrementally.

Название: Основы кодирования информации в проектах LabVIEW
Автор: Горбенко А. П. , Корниенко В. Т.
Издательство: Москва
Год: 2020
Формат: PDF
Страниц: 72
Размер: 10 Mb
Язык: Русский

Рассмотрены вопросы кодирования информации с использованием технологии виртуальных приборов LabVIEW. Изложены принципы формирования сжимающего кода Хаффмана, помехоустойчивых кодов Хемминга, Рида-Маллера и сверточного кода, а также примеры создания виртуальных приборов LabVIEW кодеров и декодеров рассмотренных кодов в приложениях систем передачи информации.

Название: Assessing DevOps: Assess DevOps Quantitatively for your IT, Business and Industry
Автор: Manas Shome, Raghubir Bose
Издательство: Independently published
Год: 2019
Страниц: 238
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

The book describes how to assess your IT for DevOps by leveraging quantitative methods. As opposed to DevOps assessments that are typically subjective and follow heuristic approaches, a quantitative assessment approach makes the it highly deterministic and capable of generating an implementation-ready target state.

Название: Machine Learning With Python: The Definitive Tool to Improve Your Python Programming and Deep Learning to Take You to The Next Level of Coding and Algorithms Optimization
Автор: Matt Algore
Издательство: Independently published
Год: 2021
Страниц: 146
Язык: английский
Формат: pdf, azw, epub
Размер: 13.9 MB

Machine Learning is rapidly changing the world, from diverse types of applications and research pursued in industry and academia. Machine Learning is affecting every part of your daily life. From voice assistants using NLP and machine learning to make appointments, check your calendar, and play music, to programmatic advertisements — that are so accurate that they can predict what you will need before you even think of it. Powerful, isn’t it? Do you want to do machine learning using Python, but you’re having trouble getting started? Then this Complete Python Handbook will teach you every single info you need to know about this popular and powerful interpreted language.

Название: Writing Maintainable Unit Tests: Mastering the art of loosely coupled unit tests
Автор: Jan Van Ryswyck
Издательство: Leanpub
Год: 2020
Страниц: 183
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 18.9 MB

The practice of Test-Driven Development has proven to be one of the major differentiators in writing quality software. Based on 15+ years of experience, this book is my attempt to teach about the heuristics that are involved when writing loosely coupled, maintainable and readable unit tests. This book is for software developers who want to improve upon their existing skills for writing unit tests. You will learn how to build loosely coupled, highly maintainable and robust unit tests that are trustworthy and improve the overall code quality of your software applications. Although the examples in this book are written in C#, the principles and guidance are broadly applicable to other platforms and programming environments as well.

Название: Loving Common Lisp, or the Savvy Programmer's Secret Weapon, 6th Edition
Автор: Mark Watson
Издательство: Leanpub
Год: 2020-08-03
Страниц: 233
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 18.5 MB

An introduction to Common Lisp and many useful example programs. This is the sixth edition of my book "Loving Common Lisp, or the Savvy Programmer's Secret Weapon." I removed some of the older material from the earlier editions and added application examples for deep learning, back-propagation and Hopfield neural networks, using the CLML machine learning library, heuristic search, and using Common Lisp clients for: MongoDB, Solr, and relational databases. For the older 3rd edition I added a chapter using my Natural Language Processing (NLP) library and a short chapter on information gathering. For the 5th edition I added an example application for generating Knowledge Graph data (RDF and Cypher for Neo4j graph database), and hybrid examples for using Python deep learning libraries (using a web service interface).

Название: Learning of Algorithms: A Hands-On Approach to Implementing Algorithms in Python and R
Автор: Mario Rojas
Издательство: Amazon.com Services LLC
Год: 2021
Страниц: 403
Язык: английский
Формат: pdf, azw3, epub
Размер: 32.0 MB

Machine learning can be broadly classified into supervised and unsupervised learning. By definition, the term supervised means that the “machine” (the system) learns with the help of something—typically a labeled training data. Training data (or a dataset ) is the basis on which the system learns to infer. An example of this process is to show the system a set of images of cats and dogs with the corresponding labels of the images (the labels say whether the image is of a cat or a dog) and let the system decipher the features of cats and dogs. Similarly, unsupervised learning is the process of grouping data into similar categories. An example of this is to input into the system a set of images of dogs and cats without mentioning which image belongs to which category and let the system group the two types of images into different buckets based on the similarity of images.