Litgu.ru - Литературный Гуру

Название: Python ZTM Cheatsheet
Автор: Neagoie Andrei
Издательство: ZTM
Год: 2021 v.1.04
Формат: PDF, DJVU
Страниц: 38
Размер: 10 Mb
Язык: English

This cheatsheet provides you with all the Python essentials in one place. If you want to learn everything Python has to offer and become a Python expert

Название: Pro C# 9 with .NET 5: Foundational Principles and Practices in Programming
Автор: Troelsen, Andrew, Japikse, Philip
Издательство: Apress
Год: 2021
Формат: true pdf/epub
Страниц: 1383
Размер: 22.9 Mb
Язык: English

This essential classic provides a comprehensive foundation in the C# programming language and the framework it lives in. Now in its 10th edition, you will find the latest C# 9 and .NET 5 features served up with plenty of "behind the curtain" discussion designed to expand developers’ critical thinking skills when it comes to their craft. Coverage of ASP.NET Core, Entity Framework Core, and more, sits alongside the latest updates to the new unified .NET platform, from performance improvements to Windows Desktop apps on .NET 5, updates in XAML tooling, and expanded coverage of data files and data handling. Going beyond the latest features in C# 9, all code samples are rewritten for this latest release.
Dive in and discover why this book is a favorite of C# developers worldwide. Gain a solid foundation in object-oriented development techniques, attributes and reflection, generics and collections, and numerous advanced topics not found in other texts (such as CIL opcodes and emitting dynamic assemblies). With the help of Pro C# 9 with .NET 5 you will gain the confidence to put C# into practice, and explore the .NET universe and its vast potential on your own terms.

Название: Python for Excel: A Modern Environment for Automation and Data Analysis
Автор: Felix Zumstein
Издательство: O’Reilly Media
Год: 2021
Формат: True (PDF, EPUB)
Страниц: 338
Размер: 10 Mb
Язык: English

While Excel remains ubiquitous in the business world, recent Microsoft feedback forums are full of requests to include Python as an Excel scripting language. In fact, it's the top feature requested. What makes this combination so compelling? In this hands-on guide, Felix Zumstein--creator of xlwings, a popular open source package for automating Excel with Python--shows experienced Excel users how to integrate these two worlds efficiently.

Название: Scientific Computing in Python (Revised Second edition, Python 3)
Автор: Abiijit Kar Gupta
Издательство: Techno World Publication
Год: 2021
Формат: PDF
Страниц: 668
Размер: 321.7 Mb
Язык: English

This book is a gentle introduction to Python for students and research scholars in science and engineering and also for anyone who finds it fascinating to do computation. Concepts are explained in lucid language with necessary details, Python scripts and graphical demonstrations.

Название: Reinforcement Learning Aided Performance Optimization of Feedback Control Systems
Автор: Changsheng Hua
Издательство: Springer
Год: 2021
Страниц: 139
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Changsheng Hua proposes two approaches, an input/output recovery approach and a performance index-based approach for robustness and performance optimization of feedback control systems. For their data-driven implementation in deterministic and stochastic systems, the author develops Q-learning and natural actor-critic (NAC) methods, respectively. Their effectiveness has been demonstrated by an experimental study on a brushless direct current motor test rig. Reinforcement learning (RL) is a branch of Machine Learning (ML) concerned with how agents take actions by interacting with their environment to maximize some notion of cumulative reward. It is a powerful tool to solve optimization problems in a data-driven manner. There have been a lot of remarkable results over the last few decades about applications of RL to performance optimization such as playing Atari games and Go with super-human performance, and training robotics to learn primitive skills.

Название: CRAN Recipes: DPLYR, Stringr, Lubridate, and RegEx in R
Автор: William Yarberry
Издательство: Apress
Год: 2021
Формат: true pdf/epub
Страниц: 348
Размер: 10.6 Mb
Язык: English

Want to use the power of R sooner rather than later? Don’t have time to plow through wordy texts and online manuals? Use this book for quick, simple code to get your projects up and running. It includes code and examples applicable to many disciplines. Written in everyday language with a minimum of complexity, each chapter provides the building blocks you need to fit R’s astounding capabilities to your analytics, reporting, and visualization needs.

Название: Understanding Artificial Intelligence: A Concise Introduction
Автор: Evlyn Faintes
Издательство: Pretty Flower Publishing
Год: 2021
Страниц: 116
Язык: английский
Формат: pdf, azw3, epub
Размер: 10.1 MB

Artificial Intelligence seems to be everywhere these days. This book provides a simple introduction to Artificial Intelligence (AI). It explains what it is, how it works and how it's used in the real world to do all sorts of wonderful things. For example, powering Intelligent personal assistants such as Amazon's Alexa, undertaking facial recognition and making decisions about who to hire and fire. Not to mention all those brilliant robots on production lines and in warehouses, and chatbots that can answer all your customer queries for you. Written in an easy going and non-technical style Understanding Artificial Intelligence provides the perfect introduction to this fascinating subject that everyone should know something about.

Название: Beginning jаvascript
Автор: Jeremy McPeak
Издательство: Wrox
Год: 2015
Формат: PDF
Страниц: 768
Для сайта: litgu.ru
Размер: 7 Mb
Язык: English

The bestselling jаvascript guide, updated with current featuresand best practices
Beginning jаvascript 5th Edition shows you how towork effectively with jаvascript frameworks, functions, and modernbrowsers, and teaches more effective coding practices using HTML5.This new edition has been extensively updated to reflect the wayjаvascript is most commonly used today, introducing you to thelatest tools and techniques available to jаvascript developers.Coverage includes modern coding practices using HTML5 markup, theJSON data format, DOM APIs, the jQuery framework, and more.Exercises with solutions provide plenty of opportunity to practice,and the companion website offers downloadable code for all examplesgiven in the book.

Название: AI and Machine Learning On-Device Development (Early Release)
Автор: Laurence Moroney
Издательство: O’Reilly Media
Год: 2021-04-22: First Release
Формат: EPUB
Страниц: 192
Размер: 24,6 Mb
Язык: English

AI is nothing without somewhere to run it. Now that mobile devices have become the primary computing device for most people, it's essential that mobile developers add AI to their toolbox. This insightful book is your guide to creating models and running them on popular mobile platforms such as iOS and Android.
Laurence Moroney, lead AI advocate at Google, offers an introduction to machine learning techniques and tools, then walks you through writing Android and iOS apps powered by common ML models like computer vision and text recognition, using tools such as ML Kit, TensorFlow Lite, and Core ML. If you're a mobile developer, this book will help you take advantage of the ML revolution today.

Название: Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications
Автор: Hoss Belyadi, Alireza Haghighat
Издательство: Gulf Professional Publishing, Elsevier
Год: 2021
Страниц: 461
Язык: английский
Формат: pdf (true)
Размер: 44.8 MB

Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand Machine Learning theory and practice, specifically referencing use cases in oil and gas. The reference moves from explaining how Python works to step-by-step examples of utilization in various oil and gas scenarios, such as well testing, shale reservoirs and production optimization. Petroleum engineers are quickly applying machine learning techniques to their data challenges, but there is a lack of references beyond the math or heavy theory of machine learning.