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Into the Tower: A Choose-Your-Own-Path Book by Hari Conner
English | September 19, 2023 | ISBN: 1524883867 | 320 pages | MOBI | 47 Mb
Full of winding tunnels and fearsome magical traps for intruders, the tower of the reclusive spellbinder princess is usually impossible to breach-apart from tonight. Once every ten years the gates of the Locked Keep open for the masquerade ball, and it's your one chance to get inside. Choose to sneak, charm or fight your way up to the room of confiscated magical objects at the top of her tower, where there is something you desperately want...

Welcome to Into the Tower, a fantasy heist where the reader chooses their path, trying to make their way through magic, monsters, and perils to the top of the mysterious spellbinder princess's tower. Into the Tower expands on the world of Into the Dungeon, bringing even more excitement and adventure from award-winning writer and artist Hari Conner.
If you survive your journey up the tower, you can find out the secrets of the princess's past and why she locked herself away, become one of the monsters slowly consuming humanity, lose yourself forever in the source of all magic, destroy the world-or even, on the right path, change it for the better.

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[booksz]

Introducing C++ (Early Release)
English | 2024 | ISBN: 9781098178130 | 324 pages | EPUB | 2.67 Mb
You know how to code, but you're ready to level up. You've heard about the power and performance of C++, a language vital to fields like AI, game development, and high-performance computing. But where do you even start? Existing resources are either outdated, overly academic, or assume a deep understanding of C. You need a guide that respects your existing skills and gets you coding fast with modern C++.

This book cuts through the noise, focusing on the essential elements of C++ with hands-on projects that quickly build your skills and confidence. Author and C++ expert Frances Buontempo gets you up to speed quickly with the latest features and best practices of the language, preparing you for more advanced exploration.
Write clean and efficient C++ code
Understand core concepts and syntax
Apply various programming approaches, from OOP to functional styles
Read and understand complex C++ definitions and resources

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Introducing Python, 3rd Edition (Early Release)
English | 2024 | ISBN: 9781098174392 | 600 pages | MOBI | 1.22 Mb
Stuck in a coding conundrum? Whether you're an advanced beginner, an intermediate developer, or a curious newcomer, the complexities of coding can often feel like a labyrinth with no exit. With Python, however, you can start writing real code quickly-but where should you start?

In this updated third edition, Bill Lubanovic acts as your personal guide to Python, offering a clear path through the intricacies and capabilities of this much-beloved coding language, including new chapters on AI models and performance enhancements. Easy to understand and enjoyable to read, this book not only teaches you the core concepts but also dives into practical applications that bridge the gap between learning and doing. By reading it, you will
Understand everything from basic data structures to advanced features.
Gain insights into using Python for files, networking, databases, and data science.
Learn testing, debugging, code reuse, and other essential development tips.
Explore how Python can be utilized in business, science, and the arts.

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Introduction to Artificial Intelligence (AI), 1st Edition
English | 2024 | ISBN: 9781003499527 | 76 pages | PDF | 6.21 Mb
Introduction to Artificial Intelligence (AI) provides a comprehensive overview of the latest trends in artificial intelligence. The book covers the state of the art in AI research, including machine learning, natural language processing, computer vision, and robotics.

The book offers a forward-looking perspective on the future of AI, exploring the emerging trends and applications that are likely to shape the next decade of AI innovation. It also provides practical guidance for businesses and individuals on how to leverage the power of AI to create new products, services, and opportunities.
Overall, the book is an essential read for anyone who wants to stay ahead of the curve in the rapidly evolving field of AI and understand the impact that this transformative technology will have on our lives in the coming years.

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Introduction to Computer Organization: ARM Edition by Robert G. Plantz
English | January 28th, 2025 | ISBN: 1718502745 | 520 pages | True EPUB | 23.28 MB
See How the Magic Happens

Built with ARM A64 Assembly Language
The ARM edition of Introduction to Computer Organization will show you how high-level code connects to computer hardware through ARM 64-bit assembly language. You'll learn ARM assembly language from the ground up, and all you'll need is some basic experience with programming. As you grow to understand ARM's 64-bit design (from first principles), you'll develop the skills to write more efficient, optimized code.
Learn the fundamentals:
* Data storage formats and computer encoding
* Binary and hexadecimal arithmetic operations
* Boolean algebra and logic gates
* Digital circuit design
Explore how software and hardware interact:
* Memory hierarchy, from CPU registers to the cloud
* CPU architecture and instruction execution
* ARM 64-bit assembly language programming
Get hands-on experience programming the GPIO on Raspberry Pi 3, 4, and 5 in assembly. Use GNU programming tools to examine code generated from C and C++ by the compiler, write assembly programs from scratch, and use the debugger to visualize execution, inspect registers, and understand machine-level operations. Each chapter includes practical "Your Turn" exercises to reinforce key concepts and build real-world programming skills.
Whether you're optimizing code performance, developing embedded systems, or simply curious about how computers execute your programs, this guide provides deep insight into how software and hardware interact to bring programs to life.

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Introduction to Data Science: Practical Approach with R and Python
English | 2021 | ISBN: 9354640508 | 827 Pages | EPUB (True) | 11.3 MB
Introduction to Data Science: Practical Approach with R and Python covers all the fundamental concepts of Data Science in a concise manner. It offers a mix of insights and golden rules which would be needed in analyzing data. This book serves as a practical guide for Science/Engineering/MBA students - both at the undergraduate and postgraduate level interested in Data Science domain.

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Introduction to Entropy by Jonathan Allday, Simon Hands
English | October 7, 2024 | ISBN: 0367638665 | 358 pages | MOBI | 15 Mb
The concept of entropy arises in diverse branches of science, including physics, where it plays a crucial role. However, the nature of entropy as a unifying concept is not widely discussed―it is dealt with in a piecemeal manner within different contexts. The interpretation of the concept is also subtly different in each case. This book draws these diverse threads together and present entropy as one of the crucial physical concepts. It covers a range of different applications of entropy, from the classical theory of thermodynamics, the statistical approach, entropy in quantum theory, information theory and finally, its manifestation in black hole physics. Each is presented in a manner suitable for undergraduates and interested laypersons with no previous knowledge. The book takes an overview of these areas and assesses to what extent the concept of entropy is being treated in the same way in each, and how it differs.

A video featuring the authors discussing entropy can be viewed here:

https://www.youtube.com/watch?v=IVRM2LxsWy4&t=239s

.
Key Features:Provides an accessible introduction to the exciting topic of entropy.Includes the latest research on black holes, quantum theory, and the Big Bang.Contains worked examples and exercises.

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Introduction to Extended Reality (XR) Technologies
English | 2025 | ISBN: 1119857228 | 225 Pages | PDF | 9 MB
Introduction to Extended Reality (XR) Technologies is a thorough guide to understanding the fundamentals, concepts, and key aspects of XR technology, including augmented reality (AR), virtual reality (VR), and mixed reality (MR). The book explores how extended reality blends the physical and virtual worlds, transforming industries such as education, healthcare, and entertainment. Each chapter covers key aspects, from foundational principles to practical applications, with real-world examples illustrating the technologies' potential. By addressing current trends, challenges, and future directions, the book serves as an essential resource to explore the evolving world of these technologies.

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Introduction to Human Neuroimaging (Cambridge Fundamentals of Neuroscience in Psychology) by Hans Op de Beeck, Chie Nakatani
English | June 27, 2019 | ISBN: 1316632180 | 368 pages | EPUB | 6.43 Mb
Developed specifically for students in the behavioral and brain sciences, this is the only textbook that provides an accessible and practical overview of the range of human neuroimaging techniques. Methods covered include functional and structural magnetic resonance imaging, positron emission tomography, electroencephalography, magnetoencephalography, multimodal imaging, and various brain stimulation methods. Experimental design, image processing, and statistical inference are also addressed, with chapters for both basic and more advanced data analyses. Key concepts are illustrated through research studies on the relationship between brain and behavior, and practice questions are included throughout to test knowledge and aid self-study. Offering just the right amount of detail for understanding how major imaging techniques can be applied to answer neuroscientific questions, and the practical skills needed for future research, this is an essential text for advanced undergraduate and graduate students in psychology, neuroscience, and cognitive science programs taking introductory courses on human neuroimaging.

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Introduction to Modern Scientific Programming and Numerical Methods by Lubos Brieda, Joseph Wang, Robert Martin
English | October 7, 2024 | ISBN: 0367671913 | 474 pages | AZW3 | 7.78 Mb
The ability to use computers to solve mathematical relationships is a fundamental skill for anyone planning for a career in science or engineering. For this reason, numerical analysis is part of the core curriculum for just about every undergraduate physics and engineering department. But for most physics and engineering students, practical programming is a self-taught process.

This book introduces the reader not only to the mathematical foundation but also to the programming paradigms encountered in modern hybrid software-hardware scientific computing. After completing the text, the reader will be well-versed in the use of different numerical techniques, programming languages, and hardware architectures, and will be able to select the appropriate software and hardware tool for their analysis.
It can serve as a textbook for undergraduate courses on numerical analysis and scientific computing courses within engineering and physical sciences departments. It will also be a valuable guidebook for researchers with experimental backgrounds interested in working with numerical simulations, or to any new personnel working in scientific computing or data analysis.
Key Features:Includes examples of solving numerical problems in multiple programming languages, including MATLAB, Python, Fortran, C++, Arduino, Javascript, and VerilogProvides an introduction to modern high-performance computing technologies including multithreading, distributed computing, GPUs, microcontrollers, FPGAs, and web "cloud computing"Contains an overview of numerical techniques not found in other introductory texts including particle methods, finite volume and finite element methods, Vlasov solvers, and molecular dynamicsA video of the author discussing the book can be accessed here:

https://www.youtube.com/watch?v=KYn8aDKXlcs

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Introduction to Organic and Medicinal Chemistry by Nathan Keighley
English | October 31, 2024 | ISBN: 1032851562 | 228 pages | MOBI | 12 Mb
This text is designed to be an undergraduate reference textbook for students of chemistry who aim to select degree modules geared towards medicinal chemistry. The first two chapters offer an overview of basic organic chemistry, followed by organic synthesis in Chapter 3, with an emphasis on the importance of synthetic procedures in relation to the chemistry of drug design. In Chapter 4, the book covers foundational aspects of biochemistry and biomedical science to provide a basis for students understanding where and how drugs work on selected targets. Later, the book explains how medicines have been created for selected topics in medicinal chemistry - namely against pathogens, cancer and neurological targets.

Features:User-friendly text that deals with key methods in organic synthesis and medicinal chemistryAn overture of drug design against disease targetsAn introduction to the molecular basis of disease and key topics in medicinal chemistryGeared toward chemistry undergraduates with an interest in pursuing medicinal chemistry further into their degreeA complete set of tutorial questions and answers for each chapter

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Introduction to Plant‐Based Latex:
Phytochemistry, Ethnopharmacology, Biological, and Pharmacological Activities
English | 2025 | ISBN: 9815129120 | 464 Pages | PDF EPUB (True) | 59 MB

Latex-bearing plants have been known for their contribution to human health. Latex, a complex mixture produced in some plants, acts as a reservoir of secondary metabolites with high medicinal value. This semisolid exudation from plants contains several chemical components that are synthesized via different biosynthetic pathways and acts as their first line of defense. Recently, chemical components derived from natural plant latex and their synthetic analogs have been used in medicine as analgesics, antimicrobial agents, antiproliferatives, and anticancer drugs. Several ethnobotanical studies of latex plants have revealed the pharmacological potential of latex. However, the continuous exploitation of laticiferous plants for industrial and medicinal use has placed them at risk of extinction. Thus, several researchers have developed potential cultivation methods to conserve these plants.

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Introduction to Prompt Engineering: How to Talk to AI
by Abenet Yohannes Hailu
English | January 16, 2025 | ISBN: 8230472467 | 81 Pages | True epub | 0,65 MB

Unlock the power of effective communication with AI through Introduction to Prompt Engineering: How to Talk to AI. This essential guide demystifies the art and science of crafting prompts to achieve precise, insightful, and impactful responses from AI systems like ChatGPT.
Whether you're a beginner or a seasoned professional, this book provides practical techniques, real-world examples, and advanced strategies to optimize your interactions with AI. Learn how to frame questions, structure inputs, and refine your prompts to enhance creativity, problem-solving, and productivity.
Perfect for students, professionals, and anyone curious about the future of AI, this book empowers you to make AI work for you-intelligently and efficiently. Transform how you communicate with machines and take your skills to the next level.
Start mastering the language of AI today!
eBook Details:
Abenet Yohannes Hailu
81 Pages
1 - 2 Hours to read
25k Total words
Release Date: January 16, 2025
ISBN-13: 9798230472469
ISBN-10: 8230472467
Language: English
Format: epub
✅File Size: 0,65 MB

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Introduction to Python and Large Language Models: A Guide to Language Models by Dilyan Grigorov
English | October 23, 2024 | ISBN: 8868805391 | 404 pages | MOBI | 3.47 Mb
Gain a solid foundation for Natural Language Processing (NLP) and Large Language Models (LLMs), emphasizing their significance in today's computational world. This book is an introductory guide to NLP and LLMs with Python programming.

The book starts with the basics of NLP and LLMs. It covers essential NLP concepts, such as text preprocessing, feature engineering, and sentiment analysis using Python. The book offers insights into Python programming, covering syntax, data types, conditionals, loops, functions, and object-oriented programming. Next, it delves deeper into LLMs, unraveling their complex components.
You'll learn about LLM elements, including embedding layers, feedforward layers, recurrent layers, and attention mechanisms. You'll also explore important topics like tokens, token distributions, zero-shot learning, LLM hallucinations, and insights into popular LLM architectures such as GPT-4, BERT, T5, PALM, and others. Additionally, it covers Python libraries like Hugging Face, OpenAI API, and Cohere. The final chapter bridges theory with practical application, offering step-by-step examples of coded applications for tasks like text generation, summarization, language translation, question-answering systems, and chatbots.
In the end, this book will equip you with the knowledge and tools to navigate the dynamic landscape of NLP and LLMs.
What You'll LearnUnderstand the basics of Python and the features of Python 3.11Explore the essentials of NLP and how do they lay the foundations for LLMs.Review LLM components.Develop basic apps using LLMs and Python.Who This Book Is For
Data analysts, AI and Machine Learning Experts, Python developers, and Software Development Professionals interested in learning the foundations of NLP, LLMs, and the processes of building modern LLM applications for various tasks.

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Introduction to Python for Science and Engineering (Series in Computational Biophysics) by David J. Pine
English | September 24, 2024 | ISBN: 1032673907 | 444 pages | AZW3 | 9.22 Mb
Introduction to Python for Science and Engineering offers a quick and incisive introduction to the Python programming language for use in any science or engineering discipline. The approach is pedagogical and "bottom up," which means starting with examples and extracting more general principles from that experience. No prior programming experience is assumed.

Readers will learn the basics of Python syntax, data structures, input and output, conditionals and loops, user-defined functions, Descriptionting, animation, and visualization. They will also learn how to use Python for numerical analysis, including curve fitting, random numbers, linear algebra, solutions to nonlinear equations, numerical integration, solutions to differential equations, and fast Fourier transforms.
Readers learn how to interact and program with Python using JupyterLab and Spyder, two simple and widely used integrated development environments.
All the major Python libraries for science and engineering are covered, including NumPy, SciPy, MatDescriptionlib, and Pandas. Other packages are also introduced, including Numba, which can render Python numerical calculations as fast as compiled computer languages such as C but without their complex overhead.

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