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Eran Halperin, "Psychological Intergroup Interventions "
English | ISBN: 103226425X | 2023 | 224 pages | PDF | 7 MB
This book introduces a comprehensive and integrative collection of psychological intergroup interventions. These evidence-based interventions are scientifically established and tested in several real-world contexts of intergroup animosities and tensions, from prejudice and inequality reduction to peace promotion.

Intergroup hostility, violence, and discrimination have become more and more prevalent in recent decades. To address this challenge, recently, social scientists have shown an increasing shift from a descriptive to a more interventionist science, developing evidence-based interventions to improve intergroup relations. For the first time, this book includes research on intergroup interventions and their applications to the field, from a global collection of leading voices in the discipline. It also includes a conceptualization of intergroup interventions, a typology of different types of interventions, as well as a guideline for effective development of intergroup interventions. Each chapter focuses on one psychological intergroup intervention, further reviewing a sample of relevant platforms such as education, entertainment, and VR, upon which psychological intergroup interventions can be implemented.
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Python for AI: Applying Machine Learning in Everyday Projects
English | 2024 | ASIN: B0DKR9NLQB | 673 Pages | EPUB (True/Retail) | 5 MB
"Python for AI: Applying Machine Learning in Everyday Projects" is a comprehensive guide designed for anyone keen to delve into the transformative world of artificial intelligence using the potent yet accessible Python programming language. This book meticulously covers essential AI concepts, offering readers a structured path from understanding basic Python syntax to implementing sophisticated machine learning models. With a blend of foundational theories and practical applications, each chapter deftly guides readers through relevant techniques and tools, such as TensorFlow, Keras, and scikit-learn, that are crucial for modern AI development.

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Python Programming for Absolute Beginners: Your First Step into Coding by Laszlo Bocso
English | August 29, 2024 | ISBN: N/A | ASIN: B0DFPT6SY3 | 424 pages | EPUB | 0.73 Mb
Python Programming for Absolute Beginners: Your First Step into Coding

Embark on an exciting journey into the world of programming with "Python Programming for Absolute Beginners: Your First Step into Coding." This comprehensive guide is tailored for newcomers to programming, offering a gentle yet thorough introduction to Python, one of the most popular and versatile programming languages in use today.
Key Features:
* Beginner-Friendly Approach: Start from scratch with no prior coding experience required.
* Step-by-Step Learning: Progress logically from basic concepts to more advanced topics.
* Hands-On Practice: Reinforce your learning with numerous exercises and coding examples.
* Real-World Applications: Learn how to apply Python to solve practical problems and automate tasks.
* Clear Explanations: Complex concepts are broken down into easily digestible chunks.
Why Python?
Python's simplicity and readability make it the perfect language for beginners, while its power and versatility ensure it remains valuable as you progress in your coding journey. From web development to data analysis, artificial intelligence to game creation, Python opens doors to a world of possibilities.
What You'll Learn:
* Setting up Python on your computer
* Understanding basic programming concepts
* Writing clean, efficient, and effective Python code
* Working with variables, data types, and operators
* Mastering control structures like loops and conditionals
* Utilizing functions and modules for organized code
* Handling files and managing data
* Introduction to object-oriented programming
* Basic web development with Python
* Data analysis and visualization fundamentals
* Simple game development
* Automation and task scripting
* Introduction to popular Python libraries and frameworks
Perfect for:
* Complete beginners to programming
* Students looking to supplement their studies
* Professionals seeking to add programming skills to their toolkit
* Anyone curious about coding and how it can solve real-world problems
By the end of this book, you'll have a solid foundation in Python programming, enabling you to:
* Write your own Python scripts and programs
* Understand and modify existing Python code
* Approach programming problems with confidence
* Continue your learning journey into more advanced topics
Each chapter builds on the previous one, reinforcing key concepts while introducing new ones at a manageable pace. You'll find plenty of code snippets, practical examples, and hands-on exercises designed to solidify your understanding and encourage experimentation.
Beyond just teaching syntax, this book emphasizes problem-solving skills and computational thinking, preparing you not just to write code, but to think like a programmer. You'll learn best practices, coding ethics, and tips for debugging and optimizing your code.
The author, László Bocsó, a Microsoft Certified Trainer, brings years of teaching experience to make complex topics accessible and engaging. His approach focuses on building a strong foundation, ensuring that readers not only learn Python but also develop the mindset needed for long-term success in programming.
"Python Programming for Absolute Beginners" is more than just a book-it's your personal guide to the world of coding. It's structured to make learning an enjoyable and rewarding experience, with each chapter bringing you closer to your goal of becoming a proficient Python programmer.

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Python programming for data science with Pandas and NumPy: Mastering Data Analysis and Manipulation with Python's Premier Libraries, Pandas and NumPy by Andix Tech
English | August 6, 2024 | ISBN: N/A | ASIN: B0DCGF6JFT | 121 pages | EPUB | 0.26 Mb
DESCRIPTION Python Programming for Data Science with Pandas and NumPy

Master the Essential Python Tools for Data Analysis and Machine Learning
This book is your comprehensive guide to harnessing the power of Python for data science. It provides a clear and practical path to mastering the essential tools of Pandas and NumPy, equipping you with the skills to efficiently manipulate, analyse, and visualise data. Whether you're a beginner exploring the world of data science or an experienced programmer looking to enhance your data analysis toolkit, this book offers a structured learning experience tailored to your needs.
Starting with the fundamentals of Python programming, you'll gain a solid foundation in variables, data types, operators, control flow, and functions, ensuring a smooth transition into data science. Next, you'll dive into the world of NumPy arrays, learning how to create, manipulate, and perform efficient numerical computations on them. You'll then explore Pandas' powerful Series and DataFrames for advanced data analysis and manipulation, mastering techniques for filtering, sorting, grouping, merging, and reshaping data.
Once you have a strong grasp of these core tools, the book guides you through the crucial steps of data cleaning and preprocessing, exploring strategies for handling missing values and outliers to ensure data quality and reliability. You'll then learn how to extract meaningful insights from your data using descriptive statistics and create compelling visualisations with Pandas' built-in Descriptionting capabilities.
The final part of the book introduces you to the exciting field of machine learning using Scikit-learn, a user-friendly Python library. You'll discover how to build and evaluate regression, classification, and clustering models, as well as how to perform crucial steps like feature engineering and selection. The journey culminates in an exploration of model deployment, guiding you through the process of integrating your models into real-world applications.
Benefits of this Book
* Clear and Comprehensive: The book presents complex concepts in a clear and accessible manner, ensuring a smooth learning curve for beginners and serving as a valuable reference for experienced practitioners.
* Hands-On Approach: Numerous examples and exercises throughout the book reinforce learning and provide opportunities for practice.
* Real-World Relevance: The book focuses on practical applications of Python for data science, drawing examples from various domains to demonstrate the relevance of these skills in solving real-world problems.
* Up-to-Date: The content reflects the latest versions of Python, Pandas, NumPy, and Scikit-learn, ensuring you're equipped with the most current tools and techniques.
* End-to-End Coverage: The book covers the entire data science workflow, from data cleaning and exploration to model building, evaluation, and deployment, providing a holistic understanding of the field.
By the end of this book, you will:
* Confidently use Python, Pandas, and NumPy to manipulate, analyse, and visualise data.
* Master essential techniques for data cleaning and preprocessing.
* Understand the fundamentals of machine learning and build various types of models.
* Gain insights from data through descriptive statistics and visualisation.
* Be prepared to apply your skills to real-world data science projects and challenges.

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Python Programming Using Google Colab
English | 2024 | ISBN: 9798227630643 | 98 Pages | EPUB (True) | 3 MB
Colab is intuitive. It tells the line in which the error is there and also the solution to the error, which is pretty useful most of the times. It also provides a link to stack overflow forum, where discussion about the error is being discussed.

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Python Tools for Scientists: An Introduction to Using Anaconda, JupyterLab, and Python's Scientific Libraries by Lee Vaughan
English | January 17, 2023 | ISBN: 1718502664 | 744 pages | AZW3 | 23 Mb
An introduction to the Python programming language and its most popular tools for scientists, engineers, students, and anyone who wants to use Python for research, simulations, and collaboration.

Python Tools for Scientists will introduce you to Python tools you can use in your scientific research, including Anaconda, Spyder, Jupyter Notebooks, JupyterLab, and numerous Python libraries. You'll learn to use Python for tasks such as creating visualizations, representing geospatial information, simulating natural events, and manipulating numerical data.
Once you've built an optimal programming environment with Anaconda, you'll learn how to organize your projects and use interpreters, text editors, notebooks, and development environments to work with your code. Following the book's fast-paced Python primer, you'll tour a range of scientific tools and libraries like scikit-learn and seaborn that you can use to manipulate and visualize your data, or analyze it with machine learning algorithms.
You'll also learn how to:
* Create isolated projects in virtual environments, build interactive notebooks, test code in the Qt console, and use Spyder's interactive development features
* Use Python's built-in data types, write custom functions and classes, and document your code
* Represent data with the essential NumPy, MatDescriptionlib, and pandas libraries
* Use Python Descriptionting libraries like Descriptionly, HoloViews, and Datashader to handle large datasets and create 3D visualizations
Regardless of your scientific field, Python Tools for Scientists will show you how to choose the best tools to meet your research and computational analysis needs.

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Python-Übungen für Anfänger: 250 praktische Aufgaben: Von den Grundlagen zur Meisterschaft: Ein umfassender Leitfaden zur Python-Programmierung (Mikro Lernen | Python) (German Edition) by Laszlo Bocso
German | August 18, 2024 | ISBN: N/A | ASIN: B0DDL6DP5C | 403 pages | EPUB | 0.25 Mb
Python-Übungen für Anfänger: 250 praktische Aufgaben Untertitel: Von den Grundlagen zur Meisterschaft: Ein umfassender Leitfaden zur Python-Programmierung

Entdecken Sie die Welt der Python-Programmierung durch praktische Erfahrung!
Sind Sie bereit, Ihre Python-Fähigkeiten auf das nächste Level zu bringen? "Python-Übungen für Anfänger: 250 praktische Aufgaben" ist Ihr ultimativer Begleiter auf dem Weg zum Python-Experten. Dieses Buch bietet Ihnen:
250 sorgfältig ausgewählte Übungen, die Ihre Programmierfähigkeiten Schritt für Schritt verbessern
Eine Progression von einfachen zu komplexen Aufgaben, die Ihr Verständnis kontinuierlich erweitern
Praktische Anwendungen von Python-Konzepten in realen Szenarien
Detaillierte Lösungen und Erklärungen zu jeder Übung
Eine Struktur, die sowohl für Selbstlerner als auch für Unterrichtszwecke geeignet ist
Perfekt für:
Anfänger mit grundlegenden Python-Kenntnissen
Studenten, die ihre Programmierfähigkeiten verbessern möchten
Selbstlerner, die praktische Erfahrung suchen
Programmierer, die sich auf Vorstellungsgespräche vorbereiten
Lehrer, die nach umfassenden Übungsmaterialien suchen
Dieses Buch geht über die bloße Theorie hinaus und bietet Ihnen die Möglichkeit, Python durch praktisches Coding zu meistern. Jede Übung ist darauf ausgelegt, Ihr Verständnis zu vertiefen und Ihre Fähigkeiten zu schärfen.
Mit "Python-Übungen für Anfänger" werden Sie:
* Grundlegende und fortgeschrittene Python-Konzepte meistern
* Ihre Problemlösungsfähigkeiten verbessern
* Selbstvertrauen in Ihrer Programmierfähigkeit gewinnen
* Eine solide Grundlage für fortgeschrittene Python-Projekte aufbauen
Egal, ob Sie ein kompletter Neuling oder ein Programmierer mit etwas Erfahrung sind, dieses Buch wird Ihnen helfen, Ihre Python-Fähigkeiten auf ein neues Niveau zu heben. Beginnen Sie noch heute Ihre Reise zur Python-Meisterschaft!

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Quantitative Energy Finance: Recent Trends and Developments by Fred Espen Benth, Almut E. D. Veraart
English | March 9, 2024 | ISBN: 3031505964 | 278 pages | MOBI | 41 Mb
Power markets are undergoing a major transformation from gas and oil-fueled generation toward renewable electricity production from wind and solar sources. Simultaneously, there is an increasing demand for electrification, coupled with long-term climate-induced weather changes. The uncertainties confronting energy market participants require sophisticated modelling techniques to effectively understand risk, many of which are covered in this book.

Comprising invited papers by high-profile researchers, this volume examines the empirical aspects of forward and futures prices, uncovering patterns of noise factors in various European electricity markets. Additionally, it delves into the recent, influential classes of Hawkes and trawl processes, emphasizing their significance in energy markets. The impact of renewables on energy market prices is a pivotal concern for both producers and consumers. Mean-field games provide a powerful mathematical framework for this, and a dedicated chapter outlining their dynamics is included in the book. The book also explores structural financial products and their connection to climate risk as a risk management tool, underscoring the essential need for a comprehensive understanding of these products in the realm of "green finance," to which the energy industry is integral. Lastly, the book thoroughly analyzes spatial smoothing and power purchase (PPA) contracts, addressing central issues in energy system planning and financial operations.
Tailored for researchers, PhD students, and industry energy analysts, this volume equips readers with insights and tools to navigate the constantly evolving energy market landscape. It serves as a sequel to the earlier Quantitative Energy Finance book, featuring all-new chapters.

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Quantum Mechanics: A Modern Development (2nd Edition)
English | 2015 | ISBN: 9814578576 | 739 Pages | PDF (True) | 5 MB
Although there are many textbooks that deal with the formal apparatus of quantum mechanics (QM) and its application to standard problems, none take into account the developments in the foundations of the subject which have taken place in the last few decades. There are specialized treatises on various aspects of the foundations of QM, but none that integrate those topics with the standard material. This book aims to remove that unfortunate dichotomy, which has divorced the practical aspects of the subject from the interpretation and broader implications of the theory.In this edition a new chapter on quantum information is added. As the topic is still in a state of rapid development, a comprehensive treatment is not feasible. The emphasis is on the fundamental principles and some key applications, including quantum cryptography, teleportation of states, and quantum computing. The impact of quantum information theory on the foundations of quantum mechanics is discussed. In addition, there are minor revisions to several chapters.The book is intended primarily as a graduate level textbook, but it will also be of interest to physicists and philosophers who study the foundations of QM. Parts of it can be used by senior undergraduates too.

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Quantum Mechanics and Gravity By Prof. Mendel Sachs (auth.)
2004 | 192 Pages | ISBN: 3642056415 | PDF | 4 MB
This book describes a paradigm change in modern physics from the philosophy and mathematical expression of the quantum theory to those of general relativity. The approach applies to all domains - from elementary particles to cosmology. The change is from the positivistic views in which atomism, nondeterminism and measurement are fundamental, to a holistic view in realism, wherein matter - electrons, galaxies, - are correlated modes of a single continuum, the universe. A field that unifies electromagnetism, gravity and inertia is demonstrated explicitly, with new predictions, in terms of quaternion and spinor field equations in a curved spacetime. Quantum mechanics emerges as a linear, flatspace approximation for the equations of inertia in general relativity.

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Quantum Mechanics: Symbolism of Atomic Measurements By Julian Schwinger (auth.), Dr. Berthold-Georg Englert (eds.)
2001 | 484 Pages | ISBN: 3642074677 | PDF | 9 MB
Julian Schwinger, who shared the 1965 Nobel Prize for physics with Richard Feynman and Sin-Itiro Tomonaga for his pioneering work on quantum electrodynamics, had a considerable influence on the conceptual development of modern quantum field theory. In addition to being an extremely productive researcher he was also a brilliant teacher, and this book demonstrates his outstanding ability to expose a difficult subject in a clear and concise style. In marked contrast to many textbooks on quantum physics, the whole of quantum kinematics and the underlying quantum action principle, which now bears his name, are derived through a systematic analysis of experimental phenomena, thus avoiding the ad hoc postulates of the axiomatic approach. Many applications, all worked out in detail, follow and culminate in an introduction to quantum electrodynamics.A unique legacy, these lecture notes of Schwingers course held at the University of California at Los Angeles were carefully edited by his former collaborator Berthold-Georg Englert and constitute both a self-contained textbook on quantum mechanics and an indispensable source of reference on this fundamental subject by one of the foremost thinkers of twentieth century physics.

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Quantum Mechanics
by Richard Fitzpatrick
English | 2015 | ISBN: 9814689947 | 484 Pages | PDF (True) | 3 MB

Quantum mechanics was developed during the first few decades of the twentieth century via a series of inspired guesses made by various physicists, including Planck, Einstein, Bohr, Schroedinger, Heisenberg, Pauli, and Dirac. All these scientists were trying to construct a self-consistent theory of microscopic dynamics that was compatible with experimental observations.The purpose of this book is to present quantum mechanics in a clear, concise, and systematic fashion, starting from the fundamental postulates, and developing the theory in as logical a manner as possible. Topics covered in the book include the fundamental postulates of quantum mechanics, angular momentum, time-independent and time-dependent perturbation theory, scattering theory, identical particles, and relativistic electron theory.

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Quantum Technology for Economists (Contributions to Economics) by Isaiah Hull, Or Sattath, Eleni Diamanti
English | March 20, 2024 | ISBN: 3031507797 | 146 pages | MOBI | 8.40 Mb
This book offers an introduction to quantum technology that is specifically tailored to economists, students of economics, and professionals in the financial and payments industries. The book reviews quantum speedups that have been identified for algorithms used to solve and estimate economic models, including function approximation, linear systems analysis, graphical modeling, Monte Carlo simulation, matrix inversion, principal component analysis, linear regression, dynamic programming, interpolation, numerical differentiation, and true random number generation. It also provides an overview of quantum financial technology and its potential applications in economics and finance. Written by an interdisciplinary team with backgrounds in economics, computer science, and physics, this book offers a valuable guide for researchers and practitioners who want to understand the implications and possibilities of quantum technology for the field of economics.

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Quest for Love: Memoir of a Child Sex Slave
by Anneke Lucas
English | 2022 | ASIN: B0B4FV3982 | 300 Pages | ePUB | 0.59 MB

This memoir invites the reader into the heart and mind of a young Belgian girl as she shares events out of one year of her life, her voice supported by the vocabulary and understanding of the adult author. The child's circumstances are brutal; she is being sold by a mentally ill mother into a murderous pedophile network. She desperately clings to the belief that in spite of all appearances, true love does exist, and searches for the faintest sign of it in the midst of hell. When her blind love for her mother is transferred onto a charming perpetrator, she experiences romantic passion, but is soon cast into abject betrayal and violence, ultimately leading to her certain demise. In the darkest of circumstances, a near-death experience shows her the truth underlying her phenomenal world, and she is given a glimpse of that great love for which she is so desperately seeking.

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Radar Array Design Using Optimization Theory
by Guolong Cui, Junli Liang, Bin Liao, Xiangrong Wang and Lingjiang Kong
English | 2024 | ISBN: 183953933X | 337 pages | True PDF | 22.21 MB

Radar array design aims at shaping a specific transmit/receive beampattern through optimizing array geometry, transmit waveform, and transmit/receive weight vectors. It is a hot topic among the scientific and industrial communities due to the advent of modern digital arrays with multiple digital transmit and receive channels, arbitrary digital waveform generators, and solid-state transmitters. The radar array beampattern is a critical performance metric, and there has been a proliferation of techniques for radar array design exploiting the mathematical results drawn from optimisation theory.
This book provides an overview of radar beampattern synthesis based on optimised array design. Some of the most challenging application fields are explored, including phased array beampattern, multiple input multiple output (MIMO) beampattern in the presence of clutter, jamming, and congested environments. Innovative and sophisticated instruments from optimization theory, such as alternating direction method of multipliers (ADMM), coordinate descent technique, semidefinite relaxation, rank-one matrix decomposition, Lagrange duality theory, fractional programming, convex approximation, Pareto optimization, and machine learning (ML) are framed in the context of radar array design.
Providing a rigorous mathematical approach corroborated with a wealth of numerical study cases, chapters emphasize both theoretical results and practical applications, demonstrating the potential benefits achievable in radar array design through the utilization of modern optimization theory. A common list of symbols and extensive cross referencing has been undertaken so that the related material can be easily found. The cross-fertilization of recent research and discoveries in optimization theory is explored.
Radar Array Design using Optimization Theory is intended for systems engineers and their managers within the aerospace and defense sector, technical personnel in procurement agencies and their advisory teams, as well as academic researchers and students pursuing MSc and PhD degrees in signal processing, electrical engineering, and optimization theory.

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