• Regeln für den Dokumente-Bereich:

    In den Börsenbereich gehören nur Angebote die bereits den Allgemeinen Regeln entsprechen.

    Allgemeines:

    Nicht erlaubt im Dokumente-Bereich sind:

    - indizierte Titel (inkl. Comics)
    - extremistische Werke, Zeitschriften und Comics (egal, welche Richtung)
    - jegliche Art von Pornographie
    - Anleitungen zu kriminellen Handlungen, gleich welcher Art
    - sadistische, menschenverachtende oder ähnliche Werke

    Nutzt den "Bedanken"-Button, bei Sammelthreads führen jegliche Kommentare, positiv wie negativ, sehr schnell zu einer Unübersichtlichkeit des Threads. Downmeldungen sind an den Uploader zu richten

    Vor dem Einstellen zu beachten:

    - Suchfunktion

    Vergewissert euch, dass es euer Dokument noch nicht im Board gibt, Doppelposts werden kommentarlos gelöscht. Ist es schon vorhanden, tragt es als Mirror im bestehenden Post ein.

    - Threadtitel

    Idealerweise ist sofort zu erkennen um was es sich handelt. Verseht euren Titel mit den relevanten Informationen, das hilft euch und damit auch uns und allen Suchenden erheblich weiter.

    Beispiel: [Thriller] Dan Brown - Inferno oder bei Magazinen:

    Computerbild - 14/2014 (es muss ersichtlich sein, um welche Ausgabe und welches Magazin es sich handelt)

    Folgende Präfixe stehen im Unterforum "Unterhaltung" zur Verfügung:

    [Humor]
    [Drama]
    [Erotik]
    [Fantasy]
    [Krimi]
    [Roman]
    [Thriller]
    [Horror]
    [Science Fiction]

    Inhalt des Beitrags:

    Folgende Pflichtangaben gilt es einzuhalten:

    - Autor
    - Titel
    - Präfix
    - Cover
    - Genre
    - Inhaltsbeschreibung
    - enthaltene Formate
    - Gesamtgröße des Downloads
    - Hoster
    - ggf. Passwort

    Nicht erlaubt sind alle Dateien, die den Download unnötig aufblähen um eine Affiliategrenze zu erreichen, wie zB. mp3-files, übergroße Bilder, etc.

    Ebenso nicht erlaubt sind sämtliche Dateien mit DRM, persönlichen Daten, etc., diese werden kommentarlos zu eurem eigenem Schutz gelöscht.

    Achtet bitte bei der Konvertierung der Formate auf die Lesbarkeit, ein epub, was nur einfach durch Calibre gejagt wird um ein PDF zu erhalten, ist zu 99% eben nicht lesbar. Wenn ihr es nicht könnt, dann lasst es besser oder lest euch ein, wie man es richtig macht.


    Unterforum Comics:

    Threadtitel:

    Ähnlich, wie bei Unterhaltung und Magazinen, sollte der Titel alle relevanten Informationen enthalten, hier bitte

    - den Titel des Comics
    - den Verlag (einige Comics sind in verschiedenen Verlagen erschienen)
    - das Erscheinungsjahr

    Erlaubt sind folgende Formate:

    - CBR
    - CBZ

    Grundsätzlich gilt: jede Version eines Comics erhält einen eigenen Thread, Ersteller eines Comics können ihre Bände gerne mit dem Zusatz (Original-Release) versehen.

    Bei Unsicherheiten zur korrekten Benennung bitte die Informationen von www.comicguide.de nutzen.

    Inhalt des Beitrags:

    Pflichtangaben hier sind:

    - Titel des Bandes und ggf. Nummer
    - Cover
    - falls bekannt technische Daten (DPI, Breite, Speicherqualität)
    - Größe des Downloads
    - Hoster
    - ggf. Passwort
    - falls bekannt Releasenamen
  • Bitte registriere dich zunächst um Beiträge zu verfassen und externe Links aufzurufen.


Collection Download Ebooks Best Seller Updated Daily

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Python for Beginners: Learn Python from scratch with a practical and straightforward guide. Part 1
English | 2025 | ISBN: B0DXDCL6KJ | MOBI | 20 Mb
The book presents a clear and accessible approach for those taking their first steps into the world of programming, using one of the most popular and versatile languages today. Starting with an introduction to the language and fundamental programming concepts, the reader is guided through a structured journey that covers everything from basic principles to more advanced and practical topics. The first chapters are dedicated to explaining what the language is, how its intuitive syntax works, and why it is widely used in various fields such as web development, automation, data analysis, and artificial intelligence.Throughout the content, essential fundamentals such as variables, data types, and basic operations are covered, providing a solid foundation for building efficient programs. The book explores control structures, which allow programmers to create intelligent execution flows by using conditional decisions and loops for task repetition. These concepts are explained with practical examples and exercises that encourage active learning.Code reuse is a crucial aspect of modern programming, and the reader will be introduced to the concept of functions, learning how to define and call custom functions to improve code organization and efficiency. Additionally, the book explores data collections such as lists, tuples, and dictionaries-essential tools for storing and manipulating information in a structured and efficient way.Another important aspect covered is file handling and interaction with external data, a fundamental knowledge area for those looking to create applications that handle information dynamically.




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Python for Beginners: Learn Python from scratch with a practical and straightforward guide,. Part 2
English | 2025 | ISBN: B0DXDBHD8X | 535 pages | MOBI | 18 Mb
The book presents a clear and accessible approach for those taking their first steps into the world of programming, using one of the most popular and versatile languages today. Starting with an introduction to the language and fundamental programming concepts, the reader is guided through a structured journey that covers everything from basic principles to more advanced and practical topics. The first chapters are dedicated to explaining what the language is, how its intuitive syntax works, and why it is widely used in various fields such as web development, automation, data analysis, and artificial intelligence.Throughout the content, essential fundamentals such as variables, data types, and basic operations are covered, providing a solid foundation for building efficient programs. The book explores control structures, which allow programmers to create intelligent execution flows by using conditional decisions and loops for task repetition. These concepts are explained with practical examples and exercises that encourage active learning.Code reuse is a crucial aspect of modern programming, and the reader will be introduced to the concept of functions, learning how to define and call custom functions to improve code organization and efficiency. Additionally, the book explores data collections such as lists, tuples, and dictionaries-essential tools for storing and manipulating information in a structured and efficient way.Another important aspect covered is file handling and interaction with external data, a fundamental knowledge area for those looking to create applications that handle information dynamically.




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Python for Beginners: Learn Python from scratch with a practical and straightforward guide,. Part 3
English | 2025 | ISBN: B0DXDBZ38K | 575 pages | MOBI | 21 Mb
The book presents a clear and accessible approach for those taking their first steps into the world of programming, using one of the most popular and versatile languages today. Starting with an introduction to the language and fundamental programming concepts, the reader is guided through a structured journey that covers everything from basic principles to more advanced and practical topics. The first chapters are dedicated to explaining what the language is, how its intuitive syntax works, and why it is widely used in various fields such as web development, automation, data analysis, and artificial intelligence.Throughout the content, essential fundamentals such as variables, data types, and basic operations are covered, providing a solid foundation for building efficient programs. The book explores control structures, which allow programmers to create intelligent execution flows by using conditional decisions and loops for task repetition. These concepts are explained with practical examples and exercises that encourage active learning.Code reuse is a crucial aspect of modern programming, and the reader will be introduced to the concept of functions, learning how to define and call custom functions to improve code organization and efficiency. Additionally, the book explores data collections such as lists, tuples, and dictionaries-essential tools for storing and manipulating information in a structured and efficient way




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Python for Data Analysis: The Modern Guide to Scalable Data, Advanced Models, and Automation (Data Analytics Toolkit) by Yash Jain
English | February 14, 2025 | ISBN: B0DXC82SXX | 68 pages | EPUB | 0.91 Mb
Python for Data Analysis: The Modern Guide to Scalable Data, Advanced Models, and Automation

In today's data-driven world, where data volumes are exploding and computational power is ever-increasing, mastering Python for data analysis has become essential. This book is a comprehensive, step-by-step guide designed to take you from the foundational aspects of Python programming to advanced techniques in scalable data processing, sophisticated modeling, and automation. Whether you're a Python beginner or a seasoned professional, this guide provides the actionable insights and hands-on practice necessary to unlock the true potential of your data.
Inside, you'll embark on a well-organized journey through the world of Python for Data Analysis:Foundations of Python for Data Analysis:
Learn the building blocks-from setting up your Python environment and mastering essential syntax to understanding core libraries like Pandas and NumPy.Data Acquisition and Cleaning:
Discover effective methods for gathering data from diverse sources, transforming messy datasets into clean, analysis-ready forms, and ensuring data integrity.Data Exploration and Visualization:
Explore techniques to summarize and visualize data using tools such as MatDescriptionlib and Seaborn, enabling you to uncover trends, patterns, and insights.Advanced Data Analysis Techniques:
Dive deeper into complex analytical methods that include subsetting, aggregating, and merging data, empowering you to extract meaningful insights.Machine Learning and Predictive Analytics:
Integrate advanced machine learning frameworks and predictive models into your analyses, equipping you to forecast trends and make data-driven decisions.Scalable Data Processing:
Learn strategies for handling massive datasets with modern libraries and distributed computing frameworks, ensuring your solutions grow with your data.Automation in Python for Data Analysis:
Streamline repetitive tasks and workflows through automation, allowing you to focus on extracting insights and making strategic decisions.Real-World Applications and Case Studies:
See how Python transforms raw data into actionable intelligence across industries-from marketing analytics and sales forecasting to customer behavior analysis and beyond.Future Trends in Python and Data Analysis:
Stay ahead of the curve with insights into emerging technologies, advanced models, and innovative approaches that will shape the future of data analysis.Appendices:
Utilize quick reference guides, glossaries of terms, and additional resources that support your ongoing learning and professional development.Whether you're looking to enhance your career in data analytics or simply aiming to make smarter, more informed decisions, Python for Data Analysis: The Modern Guide to Scalable Data, Advanced Models, and Automation is your essential companion. Begin your journey today and discover how Python can empower you to drive innovation and success in your organization.



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Python for Data Science by Mohd. Abdul Hameed
English | June 4, 2021 | ISBN: 9354243525 | EPUB | 7.62 Mb
Python for Data Science contains the basic and advanced concepts to understand Python language. Besides, it furnishes the detailed procedure on how to implement a Data Science project. This book is intended to develop in readers the skills to independently work on their Data Science projects. In addition to UG, PG, and PhD students, this book would be a ready reckoner to IT professionals.




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Python for Jurimetrics: Legal Analytics, AI, and Data Science for Lawyers by Leandro Calado
English | March 12, 2025 | ISBN: N/A | ASIN: B0F1C27P7N | 161 pages | EPUB | 1.56 Mb
Python for Jurimetrics: Legal Analytics, AI, and Data Science for Lawyers

The legal industry is evolving. Data-driven decision-making, machine learning, and artificial intelligence are transforming the way lawyers, judges, and legal researchers analyze cases and predict outcomes. Python for Jurimetrics introduces you to the powerful intersection of law and data science, equipping you with the skills to leverage legal analytics in your profession.
What you will learn:How to use Python for legal data analysis and automation.Extract, clean, and process court decisions, legal documents, and case law data.Apply machine learning models to predict judicial outcomes.Use Natural Language Processing (NLP) to analyze contracts and legal texts.Understand the ethical implications and regulatory challenges of AI in law.Who is this book for?Lawyers and legal professionals who want to leverage data science in their practice.Data scientists interested in applying AI and analytics to legal decision-making.Students and researchers exploring jurimetrics and predictive analytics in law.Unlock the power of Python and AI to transform legal analysis and decision-making!




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Python Programming: A Beginner's Guide to Coding, Automation, and Data Analysis by Ethan Caldwell
English | December 3, 2024 | ISBN: N/A | ASIN: B0DPJMJ86T | 156 pages | EPUB | 0.14 Mb
Unlock the power of Python and transform your coding skills with this comprehensive beginner's guide! Whether you're a complete novice or looking to sharpen your programming expertise, this book is your ultimate resource for mastering Python - the most versatile and in-demand language in tech today.

Inside this guide, you'll learn:The fundamentals of Python programming, from syntax to functions.Automation techniques to streamline your daily tasks and boost productivity.Data analysis with Python's powerful libraries, including Pandas and MatDescriptionlib, to work with real-world datasets.Step-by-step examples and hands-on projects to reinforce your learning and build your confidence.Proven best practices and expert tips for writing clean, efficient code.This is the only book you'll need to dive into the world of coding, automation, and data analysis. By the end, you'll be able to build your own projects, automate tedious tasks, and start analyzing data like a pro!
Why wait? Start your Python journey today and join the millions of programmers already thriving in tech! Whether you're aiming for a new career or simply looking to level up your skills, this book will put you on the fast track to success.
Perfect for beginners. Perfect for you. Get your copy now and start coding your future today!



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Python The Comprehensive Reference: A Definitive Guide To Python by Aarav Joshi
English | January 7, 2025 | ISBN: N/A | ASIN: B0DSHWJ81C | 641 pages | EPUB | 0.44 Mb
Learn Python and Transform Your Daily Life with Automation

Python is more than just a programming language; it's your ultimate productivity tool. Designed to be beginner-friendly yet powerful enough for seasoned developers, Python can revolutionize how you approach daily tasks and professional challenges. From automating mundane chores like organizing files, sending emails, or scraping information off the web, to solving complex problems in data science, web development, and artificial intelligence, Python makes it all possible with ease and efficiency.
This book, Python: The Complete Reference, is your comprehensive guide to mastering Python. Whether you're a novice starting from scratch or an experienced coder seeking advanced concepts, this book provides a structured learning path for everyone. With 15 detailed chapters covering everything from the basics of syntax and data structures to advanced topics like object-oriented programming, web development, and automation, this book ensures a complete understanding of Python's potential.
By diving into practical examples and real-world projects, you'll discover how to leverage Python for personal productivity and professional growth. This book doesn't just teach Python; it equips you to solve real-life challenges with creative solutions. Start your Python journey today and unlock the skills to enhance your efficiency, creativity, and career opportunities!




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Quantifying and Exploring the Gap Between FPGAs and ASICs by Ian Kuon , Jonathan Rose
English | PDF (True) | 2010 | 182 Pages | ISBN : 1441907386 | 2.8 MB
Field-programmable gate arrays (FPGAs), which are pre-fabricated, programmable digital integrated circuits (ICs), provide easy access to state-of-the-art integrated circuit process technology, and in doing so, democratize this technology of our time. This book is about comparing the qualities of FPGA - their speed performance, area and power consumption, against custom-fabricated ICs, and exploring ways of mitigating their de ciencies. This work began as a question that many have asked, and few had the resources to answer - how much worse is an FPGA compared to a custom-designed chip? As we dealt with that question, we found that it was far more dif cult to answer than we anticipated, but that the results were rich basic insights on fundamental understandings of FPGA architecture. It also encouraged us to nd ways to leverage those insights to seek ways to make FPGA technology better, which is what the second half of the book is about. While the question "How much worse is an FPGA than an ASIC?" has been a constant sub-theme of all research on FPGAs, it was posed most directly, some time around May 2004, by Professor Abbas El Gamal from Stanford University to us - he was working on a 3D FPGA, and was wondering if any real measurements had been made in this kind of comparison. Shortly thereafter we took it up and tried to answer in a serious way.

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Quantitative Finance with Rust: The Crash Course: Learn Rust Fast by Hayden Van Der Post, Vincent Bisette, Alice Schwartz
English | February 17, 2024 | ISBN: N/A | ASIN: B0CVVL8B6D | 249 pages | EPUB | 3.20 Mb
Reactive Publishing

Dive into the world of finance with a cutting-edge approach! "Quantitative Finance with Rust: The Crash Course" is your ultimate guide to mastering finance using Rust, the language of the future.
Whether you're a seasoned finance professional or a curious newcomer, this book offers a comprehensive yet accessible journey into the realm of quantitative finance. With Rust as your toolkit, you'll unlock the power of data analysis, algorithmic trading, and financial modeling like never before.
In this Crash Course, you'll:Accelerate Learning: Experience a rapid yet thorough exploration of Rust programming tailored specifically for financial applications.Unlock Insights: Harness the potential of data science and machine learning techniques to decode market trends and make informed decisions.Build Practical Solutions: From portfolio optimization to risk management, discover real-world applications of quantitative finance in Rust.Key Features:Beginner-friendly introduction to Rust, no prior experience required.Hands-on examples and exercises to reinforce learning at every step.Insider tips and best practices from seasoned finance professionals.Cutting-edge strategies and techniques for navigating today's dynamic financial landscape.Whether you're looking to advance your career, explore new opportunities, or simply deepen your understanding of finance and technology, "Quantitative Finance with Rust: The Crash Course" is your passport to success. Get ready to revolutionize your approach to finance-fast!




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Quantum Computing: Computing And Humanity's Next Frontier by Alex Bugeja
English | December 10, 2024 | ISBN: N/A | ASIN: B0DQ62TF3G | 250 pages | EPUB | 0.76 Mb
Embark on a captivating exploration of quantum computing, a revolutionary field poised to redefine the boundaries of computation and reshape civilization. This book illuminates the key breakthroughs driving this quantum revolution, including Google's "Willow" chip, which demonstrated exponential error reduction and achieved beyond-classical computation.

Journey from the genesis of quantum mechanics to the intricate workings of qubits, superposition, entanglement, and quantum gates. Discover the transformative power of quantum algorithms like Shor's (the key breaker) and Grover's (the quantum search algorithm). Explore the race to build practical quantum computers, examining superconducting qubits, trapped ions, photons, and other cutting-edge technologies.
Delve into the critical issue of quantum error correction and the significance of "below threshold" operation. Grasp the concept of beyond-classical computing and the benchmarks used to measure quantum performance. Uncover the potential impact of quantum computing on diverse fields, including machine learning, cryptography, materials science, and drug discovery.
Explore the ethical considerations that arise with such a powerful technology, the democratization of access through cloud-based quantum computing platforms, and the future implications for humanity. This book offers a comprehensive overview of quantum computing's current state and its potential to unlock a new era of scientific discovery, technological innovation, and societal transformation. Join the quantum revolution and witness the dawn of a new computational age!




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Quantum Computing, Cyber Security and Cryptography: Issues, Technologies, Algorithms, Programming and Strategies
English | 2025 | ISBN: 9819649471 | 506 pages | PDF | 11.11 MB
This book examines the fundamentals of quantum computing and its applications in codebreaking and hacking, as well as strategies and technologies for defending systems against quantum attacks. It brings together leading experts from across academia and industry to provide a comprehensive overview of the impacts of quantum computing on cybersecurity and cryptography. As quantum computers become more powerful and practical in the coming years, they pose a serious threat to current encryption and cybersecurity methods which rely on computational difficulty. The book provides readers with a holistic understanding of the quantum computing landscape and its implications on information security.

The chapters cover the foundational concepts of quantum mechanics and key quantum algorithms relevant to cryptography and cybersecurity. Detailed discussions on quantum cryptanalysis, post-quantum cryptography, quantum key distribution, and quantum random number generation equip readers with technical knowledge of quantum-safe cryptosystems. Practical topics such as quantum programming, software tools, and implementation of quantum-resistant solutions in different sectors like finance, healthcare, and the Internet of Things provide actionable insights for organizations. The book concludes with an analysis of collaborative strategies, policies and future research directions to foster innovation in quantum-safe cybersecurity. Overall, this book serves as an essential reference for security professionals, researchers, students, and technology leaders interested in preparing systems and data for the quantum computing era.



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