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Sweigart A: Automate the Boring Stuff
Workbook

Automate the Boring Stuff Workbook

Data Analytics for Sustainability

Distributed Computing and Intelligent Data Analytics

Intelligent computing is a computational approach primarily inspired by the objective laws governing biological groups in nature, as well as the behaviors of biological thinking and movement. It encompasses various algorithmic fields such as evolutionary computation, swarm intelligence computation, neural computation, and more. These algorithms typically achieve the goals of intelligent computing by simulating the distinctive functions of certain species in nature or specific characteristics of natural phenomena. By programming and executing the collective wisdom of biological groups and leveraging natural laws, optimization algorithms with intelligent essence are designed.&nbsp;This book serves as an introduction to widely used and common intelligent computing methods. It covers fundamental concepts, principles, model characteristics, and typical application examples of various intelligent computing methods. Additionally, it provides the latest examples along with corresponding Matlab or Python codes, facilitating readers in deepening their understanding and reproducing the content. The target audience for this book includes senior undergraduate and graduate students majoring in automation, artificial intelligence, intelligent science and technology, computer science, and related fields. It can also serve as a valuable self-study reference for professionals in computer science, artificial intelligence, and related disciplines.

Concepts, Principles and Applications

Intelligent Computing

Why The Stack—an accidental megastructure—is both a technological apparatus and the geopolitical model of our times. A tenth anniversary edition of the comprehensive political philosophy of planetary-scale computation, with a new preface from the author. What has planetary-scale computation done to our geopolitical realities?&nbsp;It takes different forms at different scales—from energy and mineral sourcing and subterranean cloud infrastructure to urban software and massive universal addressing systems; from interfaces drawn by the augmentation of the hand and eye to users identified by self—quantification and the arrival of legions of sensors, algorithms, and robots. Together, how do these distort and deform modern political geographies and produce new territories in their own image? In his groundbreaking survey The Stack, Bratton anticipated the changes we see around us now. He proposes that different genres of computation—data centers, AI, cloud platforms, mobile apps, logistics, protocols, automation, robotics—can be seen not as different species evolving on their own, but as forming a coherent whole: an accidental megastructure called The Stack that is both a computational apparatus and a new governing architecture. We are inside The Stack, and it is inside of us.&nbsp; In an account that is both theoretical and technical, drawing on political philosophy, design theory, and computer science, Bratton explores six layers of The Stack: Earth, Cloud, City, Address, Interface, User.

On Software and Sovereignty

The Stack, 10th anniversary edition with new preface by the author

This cross-disciplinary field utilizes the strange effects of quantum mechanics to enable information processing and computing that would be impossible on traditional 'classical' computers. The field has developed rapidly over the last few years due in part to its tremendous technological potential. The theoretical foundations of the subject are clearly established and good textbooks are available. However, many experimental directions are under investigation and hardly any book describing them is available on the market. Quantum cryptography, for example, has already evolved to marketable devices. Most of the books on quantum information and/or quantum computing address the important aspect of optical implementation only briefly. This book solves that by focusing on all light-based approaches to quantum computing.

This cross-disciplinary field utilizes the strange effects of quantum mechanics to enable information processing and computing that would be impossible on traditional 'classical' computers. The field has developed rapidly over the last few years due in part to its tremendous technological potential. The theoretical foundations of the subject are clearly established and good textbooks are available. However, many experimental directions are under investigation and hardly any book describing them is available on the market. Quantum cryptography, for example, has already evolved to marketable devices. Most of the books on quantum information and/or quantum computing address the important aspect of optical implementation only briefly. This book solves that by focusing on all light-based approaches to quantum computing.

Quantum Information Processing with Light

Advances in Computers

Quantum Machine Learning (QML): Platform, Tools and Applications: Volume 140

Navigating Industry 4.0 and Anticipating Industry 5.0

Decoding Explainable AI

Using Computational Thinking in Everyday Life

Problem Solving with Python

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence empowers qualitative and mixed methods researchers in the data science movement by offering no-code, cost-free software access so that they can apply cutting-edge and innovative methods to synthetize qualitative data. The book builds on the idea that qualitative and mixed methods researchers should not have to learn to code to benefit from rigorous open-source, cost-free software that uses artificial intelligence, machine learning, and data visualization tools-just as people do not need to know C++ or TypeScript to benefit from Microsoft Word. The real barrier is the hundreds of R code lines required to apply these concepts to their databases. By removing the coding proficiency hurdle, this book will empower their research endeavors and help them become active members of and contributors to the applied data science community. The book offers a comprehensive explanation of data science and machine learning methodologies, along with access to software application tools to implement these techniques without any coding proficiency. The book addresses the need for innovative tools that enable researchers to tap into the insights that come out of cutting-edge data science tools with absolutely no computer language literacy requirements.

Data Science and Interactive Visualization Tools for the Analysis of Qualitative Evidence

Distributed and Parallel Computing

The Brave New World of AI

Thinking With Machines

Studies in National Governance and Emerging Technologies

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp; Raluca Csernatoni is a Research Fellow at Carnegie Europe, where she works on the nexus between European defence and emerging technologies. She is also Guest Professor at the Centre for Security, Diplomacy and Strategy (CSDS), Vrije Universiteit Brussel, Belgium, and Visiting Faculty in the Department of International Relations, Central European University, Austria.

This book examines how artificial intelligence systems and their applications in security and defence are entangled with governance and policy processes in the EU. Combining concepts and insights from (critical) security studies and science and technology studies, it argues that behind the various AI-related policy initiatives in the EU are particular narratives on security and defence based on European fears of technological innovation and strategic gaps. In this respect, the book casts light on how such beliefs have become increasingly instrumentalized in the European governance dynamics, and subsequently embedded in successive policy initiatives and security and defence research programmes. It challenges conventional understandings of AI technologies as mere security and defence-enabling instruments, by providing a conceptually driven analysis of how certain visions of AI help govern and control one of the most dynamic emergent socio-technical fields. The book will appeal to all those interested in artificial intelligence, security studies, technology and European governance.&nbsp;

Artificial Security and the Politics of Hype in the EU

Automate the Boring Stuff Workbook

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