Название: Data Science 2020: Learn How to Optimize Your Business Using Data Analytics and Machine Learning, 2nd Edition
Автор: Bill Hanson
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 186
Язык: английский
Формат: pdf, rtf, epub
Размер: 10.1 MB

Data Science 2020 can help you go from novice to expert in no time at all. To keep up with this growing industry, one has to know all the ins and outs, be able to keep up with the fast-moving innovations, and really understand all the nuances of this field. Python is a multi-worldview programming language: a kind of Swiss Army blade for the coding scene. It supports object-situated programming, organized programming, and utilitarian programming designs, among others. There's a joke in the Python people group that "Python is commonly the second-best language for everything."

Название: Learn Python and Data Science in 45 Min
Автор: Mohamed Moussous
Издательство: Amazon.com Services LLC
Год: 2020
Формат: epub/pdf(conv.)
Страниц: 56
Размер: 3 Mb
Язык: English

Python is being used for a long time in a variety of applications and scenarios and is slowly becoming a standard for writing down machine learning and AI applications.
This book gives an overview of Python libraries, it’s for absolute beginners in programming and data science environment.

Название: LEARN JAVA BASICS: Beginner's Guide For Coding
Автор: J TAM
Издательство: Amazon.com Services LLC
Год: 2020
Формат: epub/pdf(conv.)
Страниц: 188
Размер: 10.4 Mb
Язык: English

This book absolutely for beginners.
Learn Java Basics covers Java fundamentals for beginners to learn and understand the concept of coding. This book useful for college exams and job interviews.

Название: Semantic Modeling for Data (Early Release)
Автор: Panos Alexopoulos
Издательство: O’Reilly Media
Год: 2020-04-20
Формат: epub/pdf(conv.)
Размер: 15.3 Mb
Язык: English

Perhaps you’re an information architect on a mission to make your organization’s data more understandable and usable across applications. Or a knowledge engineer working to infuse domain knowledge into the next Alexa or Siri. Or a machine learning expert having difficulty obtaining the right data for your models. If you pursue these or similar tasks, this is your book.

Название: Computational Frameworks for Political and Social Research with Python
Автор: Josh Cutler, Matt Dickenson
Издательство: Springer
Год: 2020
Формат: PDF, EPUB
Страниц: 224
Размер: 13 Mb
Язык: English

This book is intended to serve as the basis for a first course in Python programming for graduate students in political science and related fields. The book introduces core concepts of software development and computer science such as basic data structures (e.g. arrays, lists, dictionaries, trees, graphs), algorithms (e.g. sorting), and analysis of computational efficiency. It then demonstrates how to apply these concepts to the field of political science by working with structured and unstructured data, querying databases, and interacting with application programming interfaces (APIs).

Название: Feature Extraction and Image Processing for Computer Vision, 4th Edition
Автор: Mark Nixon, Alberto Aguado
Издательство: Academic Press
Год: 2020
Формат: PDF
Страниц: 650
Размер: 43,7 Mb
Язык: English

Feature Extraction for Image Processing and Computer Vision is an essential guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in MATLAB and Python. Algorithms are presented and fully explained to enable complete understanding of the methods and techniques demonstrated. As one reviewer noted, "The main strength of the proposed book is the link between theory and exemplar code of the algorithms." Essential background theory is carefully explained.

Название: Don't Teach Coding: Until You Read This Book
Автор: Lindsey Handley, Stephen Foster
Издательство: Jossey-Bass/John Wiley & Sons
Год: 2020
Страниц: 288
Язык: английский
Формат: epub
Размер: 19.6 MB

The definitive resource for understanding what coding is, designed for educators and parents. Even though the vast majority of teachers, parents, and students understand the importance of computer science in the 21st century, many struggle to find appropriate educational resources. Don't Teach Coding: Until You Read This Book fills a gap in current knowledge by explaining exactly what coding is and addressing why and how to teach the subject. Providing a historically grounded, philosophically sensitive description of computer coding, this book helps readers understand the best practices for teaching computer science to their students and their children.

Название: Конкурентность в C#. Асинхронное, параллельное программирование
Автор: Стивен Клири
Издательство: Питер
Год: 2020
Формат: pdf, epub, rtf
Размер: 13 Мб
Качество: Хорошее
Язык: Русский

Если вы побаиваетесь конкурентного и многопоточного программирования, эта книга написана для вас. Стивен Клири предоставляет в ваше распоряжение 85 рецептов работы с .NET и C# 8.0, необходимых для параллельной обработки и асинхронного программирования. Конкурентность уже стала общепринятым методом разработки хорошо масштабируемых приложений, но параллельное программирование остается непростой задачей. Подробные примеры и комментарии к коду позволят разобраться в том, как современные инструменты повышают уровень абстракции и упрощают конкурентное программирование.

Название: Программирование на Scratch, Snap в 6 книгах
Автор: Денис Голиков
Издательство: Scratch4russia.com, Издательские решения, БХВ-Петербург
Год: 2017
Формат: pdf
Страниц: 139+190+237+295+283+225
Размер: 53,9 Mb
Язык: Русский

Материал рассчитан на самостоятельное, без помощи взрослых, изучение Scratch детьми, знакомыми с компьютером и умеющими пользоваться мышью, запускать программы, считать, умножать и делить.
Snap! – блочная среда программирования, разработанная на основе Scratch в Калифорнийском университете в Беркли (University of California at Berkeley).

Название: Production Ready GraphQL: Building well designed, performant, and secure GraphQL APIs at scale
Автор: Marc-Andre Giroux
Издательство: Independently published
Год: 2020
Страниц: 186
Язык: английский
Формат: pdf, mobi, epub
Размер: 10.1 MB

Learn how to design and build predictable, performant, and secure GraphQL APIs at scale. GraphQL Beyond the Hype. There is a lot of content out there on building client side applications using GraphQL. GraphQL can offer an amazing client side experience, but for that to be true, we must be able to build high quality GraphQL platforms that will support these clients. The simplicity with which clients can consume use cases using GraphQL is often balanced by additional complexity on the server. Learn how to manage this complexity and make sure you keep providing a quality GraphQL API as your team or organization scales.