• 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.

++ Premium IPTV ++ 7000 Live Sender ++ UHD Qualität ++ Mediathek mit 18.000 Inhalten ++


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Collection Download Ebooks Best Seller Updated Daily

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Python Decorators in Depth: Definitive Reference for Developers and Engineers
English | 2025 | ASIN: B0FDPZGM1F | 298 pages | EPUB (True) | 4.16 MB
"Python Decorators in Depth"

"Python Decorators in Depth" is a comprehensive technical guide meticulously crafted for Python developers seeking mastery over one of the language's most powerful, yet nuanced features. The book begins by establishing a rigorous foundation in core topics such as first-class functions, callables, closures, and introspection, providing the essential underpinnings needed to understand and architect sophisticated decorators. Early chapters expertly elucidate how the LEGB scoping model, function attributes, and mutable closure state all contribute to building robust, maintainable decorators.
Progressing from fundamentals to advanced abstractions, the book systematically unpacks decorator syntax, parameterization, stacking, metadata preservation, and the interplay between decorators, type hints, and function signatures. Real-world patterns are explored in depth, including techniques for robust logging, access control, memoization, input validation, exception handling, and performance monitoring. Additional chapters are devoted to class decorators, the descriptor protocol, coroutine-aware decoration, and object-oriented design patterns, ensuring readers gain practical insights into leveraging decorators across a gamut of modern Python applications.
The latter sections address decorators' pivotal roles in concurrent programming, distributed task orchestration, and dynamic meta-programming. Advanced topics include runtime code generation, plugin registration systems, multiple dispatch, and seamless integration with C extensions. Extensive, hands-on guidance for testing, profiling, and debugging decorator logic empowers readers to deliver production-quality, high-performance code. Concluding with sections on best practices, architectural pitfalls, security, and the future evolution of decorators in Python, this book stands as both a definitive reference and an indispensable resource for professionals and advanced enthusiasts alike.



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Dr Martin Jones, "Python for complete beginners: A friendly guide to coding, no experience required"
English | 2015 | pages: 246 | ISBN: 1514376989 | EPUB | 1,6 mb
Getting started with programming can be an intimidating challenge.

Most books and tutorials assume lots of previous knowledge, skip over jargon and new concepts, and use examples that only make sense if you already understand programming.
This book is different. It gives you an introduction to programming in Python from the ground up, starting with tips on installation and setting up your programming environment, and moving through the core parts of the Python language in a logical order. Dr. Jones has drawn on his many years experience teaching programming to produce a book that will guide you through the language step by step in simple terms.
The book doesn't assume any previous knowledge, and introduces fundamental programming concepts like variables, loops and functions using simple terms and easy-to-follow examples that you can run and modify.
The book takes a unique approach to practical exercises. Rather than simply presenting you with the solutions, it shows you how large, complex programs are gradually built up from simple building blocks, explaining the role of every line. You can download the examples and exercise solutions - edit, modify and run them yourself.
What you'll learn from this book:
- How to install Python and set up your programming environment
- How to work with strings, numbers and variables
- How to understand and fix error messages
- How to read and write data in files
- How to processing large amounts of data with lists and loops
- How to write useful and reliable functions
- How to controlling the flow of your programs with conditions
- How to store data in dicts for lightning-fast processing
- How to find useful modules and figure out how to use them
Praise for Dr. Jones' previous books
"I actually have this book to thank for easing me into programming which is now something I do everyday as part of my profession."
"The most useful guide to Python I've found"
"Exceedingly clear and rife with examples. The author talks about a rather dull subject ... in a clear and informative manner."
About the author
Dr. Jones trained as a biologist and started his programming career by learning Perl. He started teaching programming to other people shortly after that, and quickly branched out into other languages including Python. Since then he has taught programming to hundreds of beginners, specializing in courses for people without a traditional computer science background. His teaching philosophy is that programming courses must be friendly, approachable, and focussed on practical results.
Dr. Jones currently teaches programming in his position of Lecturer in Bioinformatics at Edinburgh University. He is the author of two previous programming books: Python for Biologists and Advanced Python for Biologists. This is his first programming book for a general audience.



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Python for Data Science : Discover How to Master Big Data Analysis from Scratch and Understand Machine Learning & Applied Artificial Intelligence
English | 2021 | ASIN: B09N43YQ8G | 120 pages | EPUB (True) | 1.45 MB
Are you looking for the quickest path to mastering the fascinating field of data science?

This is the book for you if you are a student or a professional looking to improve your technical skills, or if you are simply curious about the most cutting-edge data analysis techniques and their powerful applications.
Learning all of the necessary skills to master data science and machine learning can be difficult, but Jason Callaway has condensed all of the information you'll need in this book in a straightforward and practical manner. Regardless of your prior experience, you will learn how to manipulate and process datasets, as well as the principles of Python programming and their real-world applications, using his revolutionary and systematic approach.
Here's just a tiny fraction of what you will discover:
What data science is, and why it has become fundamental in hundreds of business and technological applications
The basics of Python programming
Essential Python libraries such as NumPy, Pandas, MatDescriptionlib
All the most effective computational methods for data analysis
Data visualization tools and techniques
How to build statistical and machine learning models (even if you are brand new to programming)
The future of Artificial Intelligence
How to build neural networks with Python
Step-by-step exercises, practical examples, tips and tricks



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Python Graphics: Unleashing Creativity with Code
English | March 10, 2025 | ASIN: B0F14ZGWLD | 220 pages | PDF | 77.85 MB
Python Graphics is a comprehensive guide to image processing and drawing using Python's most powerful libraries. It covers Pillow for image creation, enhancement, and transformation, OpenCV for advanced image processing techniques such as filtering and edge detection, ImageIO for efficient image file handling, and Turtle for interactive and creative drawings. With step-by-step examples, this book provides the knowledge needed to manipulate images, apply effects, and generate custom graphics using Python.




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Python Libraries in Healthcare & Bio-informatics (Python Libraries in Industry Book 2)
English | 2024 | ASIN: B0DGDMG584 | 587 pages | Epub | 1.46 MB
Python Libraries in Healthcare & Bio-Informatics is a comprehensive guide that bridges the gap between technology and healthcare, empowering professionals to leverage the full potential of Python in transforming the medical and bioinformatics landscape. This book explores how Python's powerful libraries, such as NumPy, Pandas, Biopython, and SciPy, can be used for genomic data analysis, medical imaging, drug discovery, and predictive diagnostics. Packed with real-world applications, practical coding examples, and step-by-step tutorials, this guide provides the tools you need to automate workflows, accelerate research, and unlock breakthroughs in healthcare. Whether you're a healthcare professional, data scientist, or researcher, this book will show you how to harness Python's capabilities to advance medical science and improve patient outcomes in the fast-evolving field of bioinformatics.




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Python Machine Learning: A Step By Step Guide to Machine Learning, Algorithms, Data Science, Pytorch and Keras, Tensor Flow
English | 2021 | ASIN: B09MYX1MH7 | 82 pages | EPUB (True) | 576.71 KB
Learn the essential Python tools that every newcomer should be aware of. Learn the techniques that will help you complete your projects like a pro. Every aspiring programmer should have a copy of this book. Learn how to experiment with new ideas and problem-solving techniques, as well as how to improve your programming skills and, most importantly, your confidence. Imagination and creativity will allow you to embark on new projects you never imagined.

Here's what you will love about this book:
What is Python Machine Learning, anyway? Here's how to get started.
Find out the "Whys" and "Hows" of Python
The One PROVEN Way for Effective Implementation of Machine Learning Algorithms
Find Out the EASIEST Way for Mastering Machine Learning with Python.
Learn Importance of Learning Data Analysis in Python.
The truth about Deep Learning vs Machine Learning
The Secret to Machine Learning with Scikit-Learn
Discover Deep Learning with TensorFlow.
The Essential Key Tips & Tricks for Deep Learning with PyTorch and Keras.
Find out The Role of Machine Learning in the Internet of Things (IoT)
Looking to the Future with Machine Learning. The Business Angle.
A beginners' friendly book with easy to follow tips.
And much more, this is truly a must-have guide!



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Python Programming and SQL Bible: 7 Books in 1: Your Comprehensive Guide to Python Mastery, SQL Proficiency, Web Development, and Advanced Data Management Strategies
English | May 13, 2024 | ASIN: B0D3DTZXYQ | 347 pages | Epub | 3.77 MB
Unearth the power of Python and SQL with this comprehensive 7-book collection tailored to turn beginners into coding masters.

Are you on the brink of diving deep into the world of programming but unsure where to start?
Do you often hear about the transformative capabilities of Python and SQL but find them intimidating?
Or perhaps, are you seeking a straightforward route to mastering these languages without being swamped by jargon and complex syntaxes?
Your search ends here.
Python and SQL are not just languages; they are gateways to innovations, lucrative careers, and a universe of tech possibilities.
Yet, a majority are not tapping into even a fraction of their full potential.
Across this 7-book bundle, journey through meticulously designed modules, accessible explanations, and interactive examples. Whether it's harnessing Python's versatile scripts or SQL's database commandments, this collection is the bridge between your ambition and expertise.
Dive in and unveil:
* Foundations of Python: Navigate the rudiments with ease, from variables to loops.
* Deep Dive into Data Structures: Make data your ally, and understand how Python makes it pliable.
* SQL Essentials: Grasp the art of structured query language, making database management a breeze.
* Applied Machine Learning with Python: Transition from theory to real-world applications, harnessing Python's capabilities.
* Python for Web Development: Build, design, and deploy dynamic websites from scratch.
* Advanced SQL Techniques: Elevate your command over intricate operations, making you the go-to database guru
* Real-world Projects and Challenges: Cement your knowledge through hands-on applications, giving you the experience edge.
Picture a world where you aren't bogged down by tech challenges but are the beacon of solutions. How would your professional trajectory change if you were fluent in the most sought-after coding languages?
Imagine the doors of opportunities swinging open, all because you chose to equip yourself with the right arsenal.
This collection isn't just about learning; it's about metamorphosis into the tech whiz you've always envisioned. So, are you prepared to embark on a transformative journey into the realms of Python and SQL?



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Python Programming for Beginners: Become a Python Programmer for the World's Top Tech Companies Even If You Don't Have a Tech Background (Introduction Programming for Beginners 2024)
English | 2023 | ASIN: B0CKHPMG7S | 91 pages | Epub | 221.90 KB
Imagine effortlessly crafting web applications, diving into data science, and delving into machine learning-all with one powerful tool: Python. "Python Programming for Beginners" brings Python to life, making it your gateway to building real-world projects and exploring its endless possibilities.

Crafted by seasoned Python experts, this guide speaks your language, offering clear explanations and practical examples that demystify even the most complex Python concepts.
"Python Programming for Beginners" leaves no stone unturned. Dive deep into Python's core fundamentals, learn the ins and outs of web development, discover the secrets of data science, and unlock the power of machine learning. Every chapter provides specific, actionable insights and hands-on examples to ensure you grasp each concept with clarity and confidence.
Unlock the power of Python with the 7 key sections of this book:
1. Fundamentals
2. Web Development
3. Data Science
4. Machine Learning
5. Automation
6. Interview Preparation
7. Networking
The world is changing fast, and Python is at the forefront. Don't miss your chance to stay ahead of the curve. Start mastering Python today, and you'll be well-prepared for the evolving tech landscape.
The value you'll gain from "Python Programming for Beginners" is immeasurable. This book is your gateway to a versatile skill set that can open doors in web development, data analysis, machine learning, and more.
Don't delay. "Python Programming for Beginners: Become a Python Programmer for the World's Top Tech Companies Even If You Don't Have a Tech Background" is the foundation in your future that you can't afford to miss.



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Python Scikit-Learn for Beginners: Scikit-Learn Specialization for Data Scientist (Python for Beginners in Data Science and Data Analysis Book 3)
English | 2021 | ASIN: B0918RKXRC | 421 pages | PDF | 9.29 MB
Python for Data Scientists - Scikit-Learn Specialization

Scikit-Learn, also known as Sklearn, is a free, open-source machine learning (ML) library used for the Python language. In February 2010, this library was first made public. And in less than three years, it became one of the most popular machine learning libraries on Github.
Scikit-learn is the best place to start for access to easy-to-use, top-notch implementations of popular algorithms. This library speeds up the development of ML models.
The main features of the Scikit-learn library are regression, classification, and clustering algorithms (random forests, K-means, gradient boosting, DBSCAN, AND support vector machines). The Scikit-learn library also integrates well with other Python libraries, such as NumPy, Pandas, IPython, SciPy, Sympy, and MatDescriptionlib, to fulfill different tasks.
Python for Data Scientists: Scikit-Learn Specialization presents you with a hands-on, simple approach to learn Scikit-learn fast.
How Is This Book Different?
Most Python books assume you know how to code using Pandas, NumPy, and MatDescriptionlib. But this book does not. The author spends a lot of time teaching you how actually write the simplest codes in Python to achieve machine learning models.
In-depth coverage of the Scikit-learn library starts from the third chapter itself. Jumping straight to Scikit-learn makes it easy for you to follow along. The other advantage is Jupyter Notebook is used to write and explain the code right through this book.
You can access the datasets used in this book easily by downloading them at runtime. You can also access them through the Datasets folder in the SharePoint and GitHub repositories.
You also get to work on three hands-on mini-projects:
Spam Email Detection with Scikit-Learn
IMDB Movies Sentimental Analysis
Image Classification with Scikit-Learn
The scripts, graphs, and images in the book are clear and provide easy-to-understand visuals to the text description. If you're new to data science, you will find this book a great option for self-study.
Overall, you can count on this learning by doing book to help you accomplish your data science career goals faster.
The topics covered include:
Introduction to Scikit-Learn and Other Machine Learning Libraries
Environment Setup and Python Crash Course
Data Preprocessing with Scikit-Learn
Feature Selection with Python Scikit-Learn Library
Solving Regression Problems in Machine Learning Using Sklearn Library
Solving Classification Problems in Machine Learning Using Sklearn Library
Clustering Data with Scikit-Learn Library
Dimensionality Reduction with PCA and LDA Using Sklearn
Selecting Best Models with Scikit-Learn
Natural Language Processing with Scikit-Learn
Image Classification with Scikit-Learn



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Python: The Middle Way: Python, #2
English | 2025 | ISBN: 9798231841899 | 1,169 pages | EPUB (True) | 4.42 MB
Step beyond beginner Python-and into the world of true coding mastery.

"Python: The Middle Way" is your personal guide to mastering the intermediate realm of Python programming-where real development happens and power begins.
Designed for self-learners, passionate coders, and future tech leaders, this book doesn't just review syntax-it transforms how you think about code architecture, logic, and problem-solving. Whether you're stuck in tutorial hell or just ready to break through, this is the book that upgrades your mind as much as your skills.
? What You'll Learn:
The real mindset of Python developers who build production-grade software
Hidden Python features, best practices, and time-saving techniques
Deep dives into OOP, modules, exceptions, and custom utilities
Practical examples that bridge theory and real-world use
The path from "just writing code" to "building tools"
? Who It's For:
Self-taught developers stuck after beginner tutorials
Bootcamp students needing deeper understanding
Intermediate coders aiming for professional-level thinking
Python learners ready to level up fast
Crafted in a clean, clear tone by AnwaarX, this isn't a theory-heavy textbook - it's a mind-expanding experience designed to accelerate your transformation into a confident, creative Python developer.
> ⚡ Enter the middle way - and walk out with mastery.



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Python Tkinter GUI Projects: Build Applications Master GUI programming in Tkinter.
English | 2024 | ASIN: B0DJ3V6Y2J | 309 pages | Epub | 2.74 MB
Python is an easy to use and easy to learn programming language that is freely available on Macintosh, Windows, or Linux computers. So once you learn Python you can use it for the rest of your career without needing to purchase any software.

Here what you'll learn after downloading this book:
# 1: Create your own ChatGPT with Python
# 2: SQLite CRUD Operations in Python
# 3: Event Management System Project in Python
# 4: Ticket Booking and Management in Python
# 5: Hostel Management System Project in Python
# 6: Sales Management System Project in Python
# 7: Bank Management System Project in C++
# 8: Python Download File from URL 4 Methods
# 9: Spell Checker in Python
# 10: Portfolio Management System in Python
# 11: Stickman Game in Python
# 12: Contact Book project in Python
# 13: Loan Management System Project in Python
# 14: Cab Booking System in Python
# 15: Brick Breaker Game in Python
# 16: Tank game in Python
This Book Is Perfect For:
* Beginners who want to learn Python
* Students who are taking a Python programming course
* Professionals who want to learn Python for their job
* Anyone who wants to learn how to code



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PyTorch Deep Learning: A Hands-On Guide to Building Intelligent Applications and Neural Networks
English | August 29, 2024 | ASIN: B0DFRD4BH3 | 153 pages | PDF | 1.03 MB
About the Concept:

Dive into the world of deep learning and harness the power of PyTorch to create intelligent applications. This comprehensive guide is your roadmap to mastering the art of building neural networks and solving complex problems.
Why This Book:
Practical Approach: Learn through hands-on examples and exercises.
Clear Explanations: Understand complex concepts with easy-to-follow explanations.
Real-world Applications: Explore practical use cases across various domains.
Comprehensive Coverage: From fundamentals to advanced techniques, this book covers it all.
How This Book is Different:
Focus on PyTorch: Leverage the flexibility and power of the PyTorch framework.
Step-by-Step Guidance: Follow a structured approach to building deep learning models.
Real-world Examples: Learn from practical applications and case studies.
Expert Insights: Benefit from the expertise of experienced deep learning practitioners.
What's Inside:
Foundations of Deep Learning: Explore the basics of neural networks, activation functions, and optimization.
Building Blocks: Master key components like CNNs, RNNs, and transformers.
Applications: Dive into computer vision, natural language processing, and more.
Advanced Techniques: Learn about transfer learning, generative models, and reinforcement learning.
Deployment: Understand how to deploy models for real-world use.
About the Reader:
This book is ideal for anyone interested in deep learning, from beginners to experienced developers. No prior knowledge of machine learning or deep learning is required.
Perception of Time:
Investing time in this book will equip you with the skills to build cutting-edge AI applications and stay ahead in the rapidly evolving field of deep learning.
Powerful CTA:
Ready to unlock the power of deep learning? Start your journey today with PyTorch Deep Learning: A Hands-On Guide.



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