Category: Ebook

Ansermet J Spintronics A Primer 2025

General:

Name: Ansermet J Spintronics A Primer 2025
Format: pdf
Size: 11.7 MB

Book:

Title: Spintronics: A Primer
Author: Jean-Philippe Ansermet
Language: angielski
Year: 2015
Subjects: Bibles & Christianity, Religion, Current Affairs & Politics, Christianity, Diplomacy & International Relations, General Christianity, Christianity – General & Miscellaneous, Peace Studies
Publisher: Orbis
ISBN: 9781608332380
Total pages: 455

Description:

Thoroughly revised and updated, the new edition of this popular classroom text has added substantial discussions of globalization, ethno-nationalist conflict, terrorism, and conflicts in the Middle East, plus a list of web sites along with study questions for each chapter, maps, tables, figures and sidebars with topics for reflection.

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Anselin L An Introduction to Spatial Data Science with GeoDa Vol 2 2024

General:

Name: Anselin L An Introduction to Spatial Data Science with GeoDa Vol 2 2024
Format: pdf
Size: 34.67 MB

Book:

Title: An Introduction to Spatial Data Science with GeoDa: Volume 2 – Clustering Spatial Data
Author: Luc Anselin
Language: polski
Year: 2024
Subjects: Science & Technology, Mathematics, Probability Theory, Statistics
Publisher: CRC Press
ISBN: 9781040028759
Total pages: 238

Description:

This book is the second in a two-volume series that introduces the field of spatial data science. It moves beyond pure data exploration to the organization of observations into meaningful groups, i.e., spatial clustering. This constitutes an important component of so-called unsupervised learning, a major aspect of modern machine learning.
The distinctive aspects of the book are both to explore ways to spatialize classic clustering methods through linked maps and graphs, as well as the explicit introduction of spatial contiguity constraints into clustering algorithms. Leveraging a large number of real-world empirical illustrations, readers will gain an understanding of the main concepts and techniques and their relative advantages and disadvantages. The book also constitutes the definitive user’s guide for these methods as implemented in the GeoDa open source software for spatial analysis.
It is organized into three major parts, dealing with dimension reduction (principal components, multidimensional scaling, stochastic network embedding), classic clustering methods (hierarchical clustering, k-means, k-medians, k-medoids and spectral clustering), and spatially constrained clustering methods (both hierarchical and partitioning). It closes with an assessment of spatial and non-spatial cluster properties.
The book is intended for readers interested in going beyond simple mapping of geographical data to gain insight into interesting patterns as expressed in spatial clusters of observations. Familiarity with the material in Volume 1 is assumed, especially the analysis of local spatial autocorrelation and the full range of visualization methods.

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Anselin L An Introduction to Spatial Data Science with GeoDa Vol 1 2024

General:

Name: Anselin L An Introduction to Spatial Data Science with GeoDa Vol 1 2024
Format: pdf
Size: 20.42 MB

Book:

Title: An Introduction to Spatial Data Science with GeoDa: Volume 1 – Exploring Spatial Data
Author: Luc Anselin
Language: polski
Year: 2024
Subjects: Science & Technology, Earth Science, Geography, Geography – General & Miscellaneous
Publisher: CRC Press
ISBN: 9781040010907
Total pages: 453

Description:

This book is the first in a two-volume series that introduces the field of spatial data science. It offers an accessible overview of the methodology of exploratory spatial data analysis. It also constitutes the definitive user’s guide for the widely adopted GeoDa open-source software for spatial analysis. Leveraging a large number of real-world empirical illustrations, readers will gain an understanding of the main concepts and techniques, using dynamic graphics for thematic mapping, statistical graphing, and, most centrally, the analysis of spatial autocorrelation. Key to this analysis is the concept of local indicators of spatial association, pioneered by the author and recently extended to the analysis of multivariate data.
The focus of the book is on intuitive methods to discover interesting patterns in spatial data. It offers a progression from basic data manipulation through description and exploration to the identification of clusters and outliers by means of local spatial autocorrelation analysis. A distinctive approach is to spatialize intrinsically non-spatial methods by means of linking and brushing with a range of map representations, including several that are unique to the GeoDa software. The book also represents the most in-depth treatment of local spatial autocorrelation and its visualization and interpretation by means of GeoDa.
The book is intended for readers interested in going beyond simple mapping of geographical data to gain insight into interesting patterns. Some basic familiarity with statistical concepts is assumed, but no previous knowledge of GIS or mapping is required.
Key Features:
• Includes spatial perspectives on cluster analysis
• Focuses on exploring spatial data
• Supplemented by extensive support with sample data sets and examples on the GeoDaCenter website
This book is both useful as a reference for the software and as a text for students and researchers of spatial data science.

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Ansari I Signal Processing with Python A Practical Approach 2024

General:

Name: Ansari I Signal Processing with Python A Practical Approach 2024
Format: pdf
Size: 62.39 MB

Book:

Title: Signal Processing with Python
Author: Irshad Ahmad Ansari;Varun Bajaj;
Language: polski
Year: 2024
Subjects: Science & Technology, Engineering, Electrical & Electronic Engineering, Radar & Signal Processing, Signal Processing – General & Miscellaneous
Publisher: Institute of Physics Publishing
ISBN: 9780750359290
Total pages: 295

Description:

This book explores the domain of signal processing using Python, with the help of working examples and accompanying code. The book introduces the concepts of Python programming via signal processing with numerous hands-on examples and code snippets. The book will enable readers to appreciate the power of Python in this field and write their code to implement complex signal processing algorithms such as signal compression, cleaning, segmentation, decomposition, and feature extraction and be able to incorporate machine learning models using relevant Python libraries. This book aims to bring together professionals from academia and industry to ignite new developments and techniques in the domain of signal processing with Python.
Key Features:

• Hands-on Python examples and code for each chapter.
• Covers basic to advanced topics.
• Focuses on practical applications.
• Includes machine learning-based applications.

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Ansari H Mastering TensorFlow Unleashing the Power of Deep Learning 2024

General:

Name: Ansari H Mastering TensorFlow Unleashing the Power of Deep Learning 2024
Format: pdf
Size: 7.41 MB

Book:

Title: B0CW1DWGH4.pdf
Author: Cameron Herold
Language: angielski
Year: 2023
Subjects: N/A
Publisher: Wydawnictwo: Lioncrest Publishing
ISBN: 1544537603
Total pages: 134

Description:

As founder and CEO, you know you need to hire a COO. You need a COO who can help you build the company you don’t know how to build on your own.

The Second in Command is your go-to guidebook when you’re ready to scale up. Cameron Herold details every aspect of the process, from knowing when you need to hire a COO, through identifying and hiring the right COO candidate, to successfully onboarding and working with your COO, VP Operations or Director Operations. The Second in Command reveals the benefits a skilled COO brings to companies and explores the many ways a COO mastermind or COO forum can help grow your COO grow their skills, confidence and network. You’ll learn about the different types of COO that exists and understand the role each COO type plays. Discover how to bring a COO into your company with the least disruption and avoid common problems before they arise. There is no need to go it alone.

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Annable C Python Machine Learning A Step-by-Step Journey 2024

General:

Name: Annable C Python Machine Learning A Step-by-Step Journey 2024
Format: pdf
Size: 2.45 MB

Book:

Title: Python Machine Learning: A Step-by-Step Journey with Scikit-Learn and Tensorflow for Beginners
Author: Chloe Annable
Language: polski
Year: 2024
Subjects: N/A
Publisher: Wydawnictwo: Enbook
ISBN: 9788367997942
Total pages: 136

Description:

Oddajemy w Państwa ręce kompendium wiedzy, które stanowi nieocenione źródło informacji dla wszystkich zainteresowanych zgłębianiem tajników uczenia maszynowego i głębokiego uczenia. Ta obszerna publikacja, licząca ponad 800 stron, jest prawdziwą skarbnicą wiedzy teoretycznej i praktycznej, starannie opracowaną przez ekspertów w dziedzinie.

Książka ta w sposób kompleksowy omawia kluczowe zagadnienia, takie jak:

• Podstawy uczenia maszynowego
• Techniki przetwarzania i analizy danych
• Algorytmy klasyfikacji i regresji
• Sieci neuronowe i ich architektury
• Konwolucyjne sieci neuronowe w przetwarzaniu obrazów
• Rekurencyjne sieci neuronowe w analizie sekwencji
• Uczenie ze wzmocnieniem
• Przetwarzanie języka naturalnego
• Wizualizacja i interpretacja modeli

Autorzy kładą szczególny nacisk na praktyczne zastosowanie omawianych koncepcji, prezentując liczne przykłady implementacji w języku Python. Czytelnik znajdzie tu bogactwo kodów źródłowych, które może wykorzystać jako punkt wyjścia do własnych projektów.

Dzięki przejrzystej strukturze i stopniowaniu trudności, publikacja ta jest odpowiednia zarówno dla początkujących, jak i zaawansowanych praktyków. Stanowi ona niezbędne narzędzie dla każdego, kto chce rozwinąć swoje umiejętności w dziedzinie uczenia maszynowego i sztucznej inteligencji.

Ta monumentalna praca to nie tylko podręcznik, ale prawdziwy przewodnik po fascynującym świecie nowoczesnych technologii obliczeniowych, który z pewnością zainspiruje czytelników do dalszych poszukiwań i eksperymentów w tej dynamicznie rozwijającej się dziedzinie.

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Annable C Mastery Python Programming A Comprehensive Beginner’s Exercises 2024

General:

Name: Annable C Mastery Python Programming A Comprehensive Beginner’s Exercises 2024
Format: pdf
Size: 1.98 MB

Book:

Title: Python Programming Mastery: A Comprehensive Beginner’s Journey through Practical Exercises
Author: Chloe Annable
Language: angielski
Year: 2019
Subjects: N/A
Publisher: Wydawnictwo: Packt Publishing
ISBN: 9781789612905
Total pages: 153

Description:

An advanced guide to creating powerful high-performance GUIs for modern, media-rich applications in various domains such as business and game development.

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Annable C Mastering C++ A Comprehensive Beginner’s Guide to Programming 2023

General:

Name: Annable C Mastering C++ A Comprehensive Beginner’s Guide to Programming 2023
Format: pdf
Size: 3.23 MB

Book:

Title: Mastering C++
Author: Chloe Annable
Language: angielski
Year: 2023
Subjects: Computers, Computer Programming, Programming – General & Miscellaneous
Publisher: Sonar Publishing
ISBN: 9781803243160
Total pages: 192

Description:

Mastering C: A Comprehensive Guide to Proficiency in The C Programming Language is an indispensable resource for both novice and experienced programmers seeking to achieve mastery in the C programming language. Written by a team of seasoned experts, this book offers a deep and comprehensive exploration of C, equipping readers with the knowledge and skills needed to become proficient C programmers.

C is often regarded as the "mother" of programming languages, and its influence can be found in numerous modern programming languages. With its unparalleled performance and versatility, C remains a foundational language in the world of software development. "Mastering C" takes readers on a journey from the fundamentals to the advanced aspects of C, making it an ideal choice for those looking to start their programming journey with a strong foundation or wanting to refine their existing C programming skills.

The book starts with a gentle introduction to the basics of C, ensuring that even beginners can grasp the core concepts. It covers topics such as data types, variables, control structures, and functions in a clear and accessible manner. As readers progress, they delve into more advanced topics like memory management, pointers, file handling, and data structures. Throughout the book, the authors provide practical examples and hands-on exercises to reinforce learning, making it suitable for both self-study and classroom use.

One of the standout features of "Mastering C" is its emphasis on best practices and real-world programming scenarios. Readers will not only learn how to write C code but also how to write efficient, maintainable, and bug-free code. The authors share their insights into coding style, debugging techniques, and performance optimization, ensuring that readers develop not just technical expertise but also a programmer’s intuition.

In addition to comprehensive coverage of the language itself, this book also explores C’s role in various application domains. It discusses embedded systems, systems programming, game development, and more, illustrating how C is applied in diverse fields.

"Mastering C" is designed to be a long-term reference guide that readers can turn to as they advance in their programming careers. It provides a deep understanding of C’s nuances and complexities, making it an invaluable resource for tackling challenging programming tasks. With its thorough approach, practical examples, and expert guidance, this book empowers readers to become proficient C programmers and equips them to excel in the competitive world of software development.

Whether you are a student, a professional developer, or an enthusiast eager to harness the power of C, "Mastering C" is your definitive guide to becoming a master of this iconic programming language.

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Aniche M Simple Object Oriented Design 2024

General:

Name: Aniche M Simple Object Oriented Design 2024
Format: pdf
Size: 2.61 MB

Book:

Title: Simple Object-Oriented Design: Create clean, maintainable applications (for True Epub)
Author: Maurício Aniche
Language: angielski
Year: 2024
Subjects: Computers, Computer Programming, Programming Languages, Software Engineering, Network Programming, Object-Oriented Programming, Java (Programming Language), General Software Engineering, Java (Computer program language), Software development and engineering->General and miscellaneous
Publisher: Manning
ISBN: 9781638355168
Total pages: 234

Description:

Write object-oriented code that’s manageable, maintainable, and future-proof.

Keeping your object-oriented designs simple demands a creative approach-and that’s exactly what you’ll find in Simple Object-Oriented Design. This book is full of patterns and principles for reducing complexity, each one proven in author Mauricio Aniche’s 20-year career in software development. You’ll learn how to tackle code’s natural growth in complexity, and adopt a “good enough” approach that means it’s easy to refactor when requirements change.

You’ll discover insightful principles for:

• Making code readable and documented
• Improving consistency and encapsulation
• Managing dependencies
• Designing abstractions
• Handling infrastructure
• Effective modularization

Learn what constitutes both good and bad object-oriented software design, discover how to make better trade-offs in design decisions, and when to embrace complexity over simpler data structures. With this book as your vital reference, you’ll be ready to write code that will last the test of time, without slowing feature delivery to a crawl.

About the technology

Even a simple object-oriented application can quickly become complex as it evolves. Each new class, method, or feature means more state and abstractions to manage, which in turn increases complexity, maintenance, and time spent detangling legacy code. It takes effort and skill to keep your codebase simple. This book shows you how.

About the book

Simple Object-Oriented Design: Create clean, maintainable applications presents practical design principles you can use to keep an object-oriented codebase simple as it grows and changes. Written as a collection of practical techniques you can apply in any OO language, it offers tips for concise code, managing dependencies and modules, and designing flexible abstractions. Illuminating figures, real-world examples, and insightful exercises make each principle stick.

What’s inside

• Writing simple, understandable classes
• Flexible abstractions to extend your designs
• Reducing the impact of coupling

About the reader

Readers should be familiar with an object-oriented language like Java, C#, or Python.

About the author

Maurício Aniche is a software engineer with 20 years of experience. He’s also an Assistant Professor in Software Engineering at Delft University of Technology, and the author of Effective Software Testing.

Table of Contents

1 It’s all about managing complexity
2 Making code small
3 Keeping objects consistent
4 Managing dependencies
5 Designing good abstractions
6 Handling external dependencies and infrastructure
7 Achieving modularization
8 Being pragmatic

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Anglart H Thermal Safety Margins in Nuclear Reactors 2024

General:

Name: Anglart H Thermal Safety Margins in Nuclear Reactors 2024
Format: pdf
Size: 56.24 MB

Book:

Title: Thermal Safety Margins in Nuclear Reactors
Author: Henryk Anglart
Language: angielski
Year: 2024
Subjects: Science & Technology, Physics, Nuclear Physics – General & Miscellaneous
Publisher: CRC Press
ISBN: 9781032171050
Total pages: 387

Description:

This book presents an overview of state-of-the art approaches to determine thermal safety margins in nuclear reactors. It presents both the deterministic and probabilistic aspects of thermal safety margins of nuclear reactors to facilitate the understanding of these two difficult topics at various academic levels, from undergraduates to researchers in nuclear engineering.
It first sets out the theoretical background before exploring how to determine thermal safety margins in nuclear reactors, through examples, problems and advanced state-of-the-art approaches. This will help undergraduate students better understand the most fundamental aspects of nuclear reactor safety. For researchers and practitioners, this book provides a comprehensive overview of most recent achievements in the field, offering an excellent starting point to develop new methods for the assessment of the thermal safety margins.
This book is written to bridge the gap between deterministic and appropriate treatment of uncertainties to assess safety margins in nuclear reactors, presenting these approaches as complementary to each other. Even though these two approaches are frequently used in parallel in real-world applications, there has been a lack of a consistent teaching approach in this area.
This book is suitable for readers with a background in calculus, thermodynamics, fluid mechanics, and heat transfer. It is assumed that readers have previous exposure to such concepts as laws of thermodynamics, enthalpy, entropy, and conservation equations used in fluid mechanics and heat transfer.
Key Features:

• Covers the theory, principles, and assessment methods of thermal safety margins in nuclear reactors whilst presenting the state-of-the-art technology in the field
• Combines the deterministic thermal safety considerations with a comprehensive treatment of uncertainties, offering a framework that is applicable to all current and future commercial nuclear reactor types
• Provides numerous examples and problems to be solved

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