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Handbook of Technological Sustainability by Pankaj Bhambri, Paula Bajdor
English | November 13, 2024 | ISBN: 1032758015 | 412 pages | MOBI | 4.59 Mb
In the context of an ever-changing technological world, it is crucial to prioritize the cultivation of sustainability and environmental consciousness. Adopting an interdisciplinary perspective, this handbook facilitates the integration of technology and sustainability by leveraging insights from many fields such as engineering, environmental science, economics, and sociology. The primary objective of this handbook is to provide a comprehensive analysis of the complex relationship between technology and the environment.

Handbook of Technological Sustainability: Innovation and Environmental Awareness includes recent and diverse case studies from a global perspective and demonstrates the utilization of technology to achieve sustainable development across several sectors, such as energy, agriculture, transportation, and urban planning. It explores innovative technologies emphasizing state-of-the-art and developing technologies, including renewable energy, circular economy practices, smart cities, and artificial intelligence-driven sustainability solutions. The handbook also examines the impact of laws, regulations, and international agreements on the advancement or impediment of technological sustainability. Written to be used as a reference, this handbook highlights the ethical and moral quandaries linked to technological sustainability analyzing various topics of significance, including environmental justice, privacy implications in smart technology, and the ramifications of artificial intelligence on employment and society. It provides practical methodologies and recommendations for individuals, enterprises, and governmental entities to adopt and integrate sustainable technologies effectively and furnish readers with a comprehensive guide for transitioning towards a more sustainable future.
As it showcases perspectives from technologists, sustainability professionals, and policymakers that have the potential to provide a range of opinions and practical insights derived from real-world experiences, this handbook is a book for all individuals, corporations, governments, researchers, and anyone seeking to harness technology to advance sustainability and effectively tackle the multifaceted issues posed by our dynamic global landscape.

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[booksz]

Stephen Farrall, "Handbook on Crime and Inequality "
English | ISBN: 1800883595 | 2025 | 512 pages | PDF | 72 MB
In this Handbook, Stephen Farrall and Susan McVie bring together a diverse array of leading experts to examine the relationship between different aspects of crime and inequality. They employ a variety of geographical and individual lenses and use case studies from the Global North and South.

Expanding upon current knowledge and introducing new research, the chapters provide dynamic and multidimensional perspectives. They focus on a range of criminological topics, including victimization, offending, attitudes towards punishment, policing processes and the fear of crime. They also interrogate various competing and overlapping measures of inequality. Contributing authors illustrate the conceptual, theoretical and methodological challenges of studying crime and inequality, and underscore the need for engagement by criminologists in this under-researched field.
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Handbuch Digitalisierung in Staat und Verwaltung
Deutsch | 2025 | ISBN: 3658373725 | 1071 Pages | PDF (True) | 17 MB
Digitalisierung prägt nicht nur die Marktökonomie, sie gestaltet auch den öffentlichen Sektor neu. Das Handbuch liefert auch in der 2. Auflage einen wissenschaftlichen Überblick zum Stand der Digitalisierung in Staat und Verwaltung. Die 95 Beiträge erläutern Leitprinzipien einer digitalen Staatsentwicklung, Instrumente einer digitalisierten Verwaltung und Anwendungen digitaler Steuerung in einzelnen Politikfeldern. Das Handbuch liefert zudem den aktuellen Diskussionsstand zu Grundfragen der Sicherung von Freiheit und Privatheit, sozialer Gerechtigkeit und Demokratie unter Bedingungen der Digitalisierung und wurde nach den Entwicklungen der Corona-Krise 2020/2021 grundlegend aktualisiert und erweitert.

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Marione Ingram, "Hands of War: A Tale of Endurance and Hope, from a Survivor of the Holocaust"
English | ISBN: 1620871858 | 2013 | 224 pages | PDF | 3 MB
Marione Ingram grew up in Hamburg, Germany, in the late 1930s and early 1940s. She was German. She was Jewish. She was a survivor. This is her story.

As a young girl, Marione was aware that people of the Jewish faith were regarded as outsiders, the supposed root of Germany's many problems. She grew up in an apartment building where neighbors were more than happy to report Jews to the Gestapo. Marione's mother attempted suicide after receiving a deportation notice-Marione revived her, but then the bombs started to fall, as the Allies leveled the city in eight straight days of bombings. Somehow Marione and her mother and sister survived the devastating firestorms-more than 40,000 perished, and almost the same numbered were wounded.
Marione and her family miraculously escaped and sought shelter with a contact in the countryside who grudgingly agreed to house them in a shed for more than a year. With the war drawing to a close, they went west, back to Hamburg. There they encountered Allied troops, who reinstalled the local government (made up of ex-Nazis) in order to keep order in the country. Life took on the air of what it used to be. Jews were still second-class citizens.
Marione eventually took shelter at a children's home in a mansion once owned by wealthy Jewish bankers. There she met Uri, a troubled orphan and another one of the "Children of Blankenese." Uri's story, a bleak tale of life in the concentration camps, explores a different side of the Nazi terror in Germany.
In this stirring account of World War II through the eyes of a child, the author's eloquent narrative elicits compassion from readers.
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Hands-On APIs for AI and Data Science
English | 2025 | ISBN: 1098164415 | 443 Pages | EPUB | 9 MB
To succeed in AI and data science, you must first master APIs. API skills are essential for AI and data science success. With this practical book, data scientists and software developers will gain hands-on experience developing and using APIs with the Python programming language and popular frameworks like FastAPI and StreamLit.

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Hands-On APIs for AI and Data Science: Python Development with FastAPI by Ryan Day
English | April 8th, 2025 | ISBN: 1098164415 | 352 pages | True EPUB (Retail Copy) | 8.48 MB
To succeed in AI and data science, you must first master APIs. API skills are essential for AI and data science success. With this practical book, data scientists and software developers will gain hands-on experience developing and using APIs with the Python programming language and popular frameworks like FastAPI and StreamLit.

Part 1 takes you step-by-step through coding projects to build APIs using Python and FastAPI and deploy them in the cloud. Part 2 teaches you to consume APIs in a data science project using industry-standard tools. And in Part 3, you'll use ChatGPT, the LangChain framework, and other tools to access your APIs with generative AI and large language models (LLMs).
As you complete the chapters in the book, you'll be creating a professional online portfolio demonstrating your new skill with APIs, AI, and data science.
You'll learn how to:
* Design APIs that data scientists and AIs love
* Develop APIs using Python and FastAPI
* Deploy APIs using multiple cloud providers
* Create data science projects such as visualizations and models using APIs as a data source
* Access APIs using generative AI and LLMs
Author Ryan Day is a data scientist in the financial services industry and an open source developer.

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Hands-On Blockchain for Python Developers - Second Edition: Empowering Python developers in the world of blockchain and smart contracts by Arjuna Sky Kok
English | June 28, 2024 | ISBN: 1805121367 | 436 pages | PDF | 11 Mb
Write popular DeFi and NFT smart contracts with Vyper, a Pythonic programming language, and integrate blockchain with real-world applications using Python

Key Features:
- Use the world's easiest programming language to build web3 applications
- Write common smart contracts like decentralized exchanges, NFT marketplaces, and lending applications
- Unlock deeper levels of insights with technologies relating to blockchain, such as IPFS and Layer 2
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description:
We are living in the age of decentralized fi nance and NFTs. People swap tokens on Uniswap, borrow assets from Aave, send payments with stablecoins, trade art NFTs on OpenSea, and more. To build applications of this kind, you need to know how to write smart contracts.
This comprehensive guide will help you explore all the features of Vyper, a programming language designed to write smart contracts. You'll also explore the web3.py library. As you progress, you'll learn how to connect to smart contracts, read values, and create transactions. To make sure your foundational knowledge is strong enough, the book guides you through Ape Framework, which can help you create decentralized exchanges, NFT marketplaces, voting applications, and more. Each project provides invaluable insights and hands-on experience, equipping you with the skills you need to build real-world blockchain solutions.
By the end of this book, you'll be well versed with writing common Web3 applications such as a decentralized exchange, an NFT marketplace, a voting application, and more.
What You Will Learn:
- Understand blockchain and smart contracts
- Learn how to write smart contracts with Vyper
- Explore how to use the web3.py library and Ape Framework
- Discover related technologies such as Layer 2 and IPFS
- Gain a step-by-step guide to writing an automated market maker (AMM) decentralized exchange (DEX) smart contract
- Build innovative, interactive, and token-gated Web3 NFT applications
Who this book is for:
This blockchain book is for developers interested in understanding blockchain and smart contracts. It is suitable for both technology enthusiasts looking to explore blockchain technology and programmers who aspire to become smart contract engineers. Basic knowledge of GNU/Linux and Python programming is mandatory to get started with this book.
Table of Contents
- Introduction to Blockchain Programming
- Smart Contract Fundamentals
- Using Vyper to Implement a Smart Contract
- Using Web3.py to Interact with Smart Contracts
- Ape Framework
- Building a Practical Decentralized Applicaton
- Front-End Decentralized Application
- Cryptocurrency Wallet
- InterPlanetary: A Brave New File System
- Implementing a Decentralized Application Using IPFS
- Exploring Layer 2
- Creating Token on Ethereum
- How to Create an NFT
- Writing NFT Marketplace Smart Contracts
- Writing a Lending Vault Smart Contract
- Decentralized Exchange
- Token-Gated Applications

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Hands-On Generative AI with Transformers and Diffusion Models by Omar Sanseviero, Pedro Cuenca, Apolinário Passos
English | December 31, 2024 | ISBN: 1098149246 | 416 pages | MOBI | 7.91 Mb
Learn to use generative AI techniques to create novel text, images, audio, and even music with this practical, hands-on book. Readers will understand how state-of-the-art generative models work, how to fine-tune and adapt them to their needs, and how to combine existing building blocks to create new models and creative applications in different domains.

This go-to book introduces theoretical concepts followed by guided practical applications, with extensive code samples and easy-to-understand illustrations. You'll learn how to use open source libraries to utilize transformers and diffusion models, conduct code exploration, and study several existing projects to help guide your work.Build and customize models that can generate text and imagesExplore trade-offs between using a pretrained model and fine-tuning your own modelCreate and utilize models that can generate, edit, and modify images in any styleCustomize transformers and diffusion models for multiple creative purposesTrain models that can reflect your own unique style

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Hands-On Machine Learning with C++
by Kirill Kolodiazhnyi
English | 2025 | ISBN: 1805120573 | 512 pages | True/Retail PDF EPUB | 88 MB

Apply supervised and unsupervised machine learning algorithms using C++ libraries, such as PyTorch C++ API, Flashlight, Blaze, mlpack, and dlib using real-world examples and datasets
Key Features
Familiarize yourself with data processing, performance measuring, and model selection using various C++ libraries
Implement practical machine learning and deep learning techniques to build smart models
Deploy machine learning models to work on mobile and embedded devices
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Written by a seasoned software engineer with several years of industry experience, this book will teach you the basics of machine learning (ML) and show you how to use C++ libraries, along with helping you create supervised and unsupervised ML models.
You'll gain hands-on experience in tuning and optimizing a model for various use cases, enabling you to efficiently select models and measure performance. The chapters cover techniques such as product recommendations, ensemble learning, anomaly detection, sentiment analysis, and object recognition using modern C++ libraries. You'll also learn how to overcome production and deployment challenges on mobile platforms, and see how the ONNX model format can help you accomplish these tasks.
This new edition has been updated with key topics such as sentiment analysis implementation using transfer learning and transformer-based models, as well as tracking and visualizing ML experiments with MLflow. An additional section shows you how to use Optuna for hyperparameter selection. The section on model deployment into mobile platform now includes a detailed explanation of real-time object detection for Android with C++.
By the end of this C++ book, you'll have real-world machine learning and C++ knowledge, as well as the skills to use C++ to build powerful ML systems.
What you will learn
Employ key machine learning algorithms using various C++ libraries
Load and pre-process different data types to suitable C++ data structures
Find out how to identify the best parameters for a machine learning model
Use anomaly detection for filtering user data
Apply collaborative filtering to manage dynamic user preferences
Utilize C++ libraries and APIs to manage model structures and parameters
Implement C++ code for object detection using a modern neural network
Who this book is for
This book is for beginners looking to explore machine learning algorithms and techniques using C++. This book is also valuable for data analysts, scientists, and developers who want to implement machine learning models in production. Working knowledge of C++ is needed to make the most of this book.
Table of Contents
Introduction to Machine Learning with C++
Data Processing
Measuring Performance and Selecting Models
Clustering
Anomaly Detection
Dimensionality Reduction
Classification
Recommender Systems
Ensemble Learning
Neural Networks for Image Classification
Sentiment Analysis with BERT and Transfer Learning
Exporting and Importing Models
Tracking and Visualizing ML Experiments
Deploying Models on a Mobile Platform

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Hands-On Python and Computer Vision: A Practical Guide with OpenCV by Sarful Hassan
English | February 3, 2025 | ISBN: N/A | ASIN: B0DVZKJK42 | 333 pages | EPUB | 3.62 Mb
Hands-On Python and Computer Vision: A Practical Guide with OpenCV

Master the Power of Computer Vision with Python and OpenCV
Are you ready to unlock the potential of computer vision and transform the way machines perceive the world? Hands-On Python and Computer Vision: A Practical Guide with OpenCV is your step-by-step guide to mastering image processing, object detection, deep learning, and real-world vision applications.Why This Book?
✅ Comprehensive & Hands-On - Covers fundamental to advanced OpenCV techniques with practical examples.
✅ Real-World Projects - Learn by building image classifiers, facial recognition systems, object detection models, and video processing pipelines.
✅ AI & Deep Learning Integration - Explore how OpenCV works with TensorFlow, PyTorch, and YOLO to enhance vision-based AI solutions.
✅ Optimized for Python - Uses Python 3.x for easy, efficient, and scalable implementations.
✅ For Beginners & Professionals - Whether you're a student, developer, researcher, or AI enthusiast, this book provides the skills needed to build powerful vision-based applications.What You'll Learn
✔ Setting up OpenCV and Python for computer vision projects
✔ Image processing techniques: resizing, filtering, edge detection, and thresholding
✔ Feature detection, object tracking, and contour analysis
✔ Real-time video processing and motion analysis
✔ Integrating OpenCV with machine learning and deep learning frameworks
✔ Building real-world applications like face mask detection, gesture recognition, and surveillance systemsWho Should Read This Book?
�� Beginners looking to get started with Python-based computer vision
�� Developers & Engineers seeking practical OpenCV applications
�� AI & Machine Learning Enthusiasts integrating vision-based intelligence
�� Researchers & Students exploring advanced image processing techniquesWhy Choose This Book Over Others?
�� Clear Explanations & Code Examples - Every concept is explained with easy-to-follow Python code.
�� Practical Approach - Less theory, more hands-on coding and real-world projects.
�� Updated & Relevant - Covers the latest OpenCV features and AI-powered applications.

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Hands-On Python and NumPy: From Basics to Real-World Applications by Sarful Hassan
English | January 22, 2025 | ISBN: N/A | ASIN: B0DTTC2KFL | 273 pages | EPUB | 1.37 Mb
Hands-On Python and NumPy: From Basics to Real-World Applications

Discover the power of Python and NumPy to supercharge your programming and data analysis skills! Whether you're a beginner or an experienced Python programmer, Hands-On Python and NumPy: From Basics to Real-World Applications is your essential guide to mastering the most powerful library for numerical and scientific computing.
This practical, step-by-step book covers everything from the basics of NumPy arrays to advanced techniques like broadcasting, vectorization, and optimization. With hands-on examples, real-world projects, and clear explanations, this book makes it easy to understand and apply NumPy's capabilities to solve complex problems.What You'll Learn:Effortless Data Manipulation: Work with NumPy arrays for efficient data processing and transformation.Mathematical Operations Simplified: Perform advanced calculations with NumPy's built-in functions.Real-World Applications: Explore practical case studies, including weather analysis, financial modeling, image compression, and more.Advanced Features: Master topics like linear algebra, Fourier transforms, and multithreading.Performance Optimization: Learn to optimize memory usage and boost code performance with vectorization.Who Is This Book For?
This book is perfect forata scientists, engineers, and researchers who need fast and efficient numerical tools.Python programmers looking to level up their skills and apply them to real-world scenarios.Students and professionals eager to dive into machine learning, data science, or scientific computing.Why Choose This Book?
Packed with actionable insights and practical projects, Hands-On Python and NumPy not only teaches you the fundamentals but also equips you with the skills to apply them in professional settings. Learn to handle real-world data challenges with ease and confidence.

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Hands-On Python and Pandas: Practical Data Science with Python by Sarful Hassan
English | January 20, 2025 | ISBN: N/A | ASIN: B0DTKR9LDS | 356 pages | EPUB | 1.65 Mb
Unlock the power of Python and Pandas for data science!

"Hands-On Python and Pandas: Practical Data Science with Python" is the ultimate guide for learning to manipulate, analyze, and visualize data with Python. Whether you're a beginner or already familiar with programming, this book provides clear, step-by-step instructions for mastering the Pandas library and applying it to real-world data science projects.
You will learn how to:Master Data Manipulation: Handle missing data, perform sorting, filtering, and aggregating with ease.Transform and Clean Data: Use powerful tools to clean, reshape, and combine data sets efficiently.Visualize Your Data: Create compelling charts and graphs using MatDescriptionlib and Seaborn to communicate insights clearly.Work with Real-World Projects: Apply your skills to practical data science tasks like sales analysis, customer segmentation, time-series forecasting, and more.Optimize Performance: Learn tips and techniques to work with large datasets, speed up processing, and improve overall performance.This comprehensive guide covers essential concepts such as data cleaning, transformation, and analysis with Pandas. You will also explore advanced topics like data visualization, performance optimization, and real-world applications, equipping you with the skills necessary for tackling any data science challenge.
Perfect for:Beginners to intermediate Python usersData scientists and analysts looking to expand their skillsAnyone interested in working with data for analysis or visualization

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Hands-On Python and PyTorch: A Practical Guide to Deep Learning. by Sarful Hassan
English | February 3, 2025 | ISBN: N/A | ASIN: B0DW13F2MY | 361 pages | EPUB | 0.47 Mb
Hands-On Python and PyTorch: A Practical Guide to Deep Learning

Master Deep Learning with Python and PyTorch
Are you ready to dive into the world of deep learning and AI? Hands-On Python and PyTorch: A Practical Guide to Deep Learning is your step-by-step companion to mastering neural networks, machine learning models, and real-world AI applications with Python and PyTorch.Why This Book?
✅ Comprehensive & Hands-On - Covers everything from basic PyTorch operations to advanced deep learning techniques.
✅ Real-World Applications - Learn to build image classifiers, NLP models, GANs, and reinforcement learning systems.
✅ AI & Deep Learning Integration - Understand how PyTorch works with TensorFlow, OpenCV, and other AI frameworks.
✅ Optimized for Python - Uses Python 3.x for efficient and scalable implementation.
✅ Beginner to Expert Guide - Suitable for students, developers, data scientists, and AI enthusiasts looking to master PyTorch and deep learning.What You'll Learn
✔ Setting up PyTorch and Python for deep learning projects
✔ Core PyTorch concepts: Tensors, Autograd, and Modules
✔ Building and training neural networks from scratch
✔ Advanced optimization techniques and model tuning
✔ Real-time applications in computer vision, NLP, and reinforcement learning
✔ Deploying AI models efficiently for productionWho Should Read This Book?
�� Beginners looking to start with PyTorch and deep learning
�� Developers & Engineers wanting practical AI applications
�� Machine Learning Enthusiasts integrating deep learning models
�� Researchers & Students exploring advanced AI conceptsWhy Choose This Book Over Others?
�� Clear Explanations & Code Examples - Every concept is explained with easy-to-follow Python code.
�� Project-Based Learning - Learn by building real AI applications.
�� Updated & Practical - Covers the latest PyTorch updates and real-world deep learning applications.

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Hands-On Real Time Communications:
A Practical Guide to RTC Protocols in Non-3GPP, 3GPP 4G/5G/6G and IoT Networks
English | 2025 | ISBN: 1394239629 | 371 Pages | EPUB | 273 MB

Since the emergence of Voice over IP (VoIP) communications in the late 1990s, a set of real time communication (RTC) protocols has evolved that together now support an immense range of technologies and systems architectures. Whether it's 5G networks (and beyond) or Internet of Things architectures, RTC protocols are indispensable to modern telecommunications. An understanding of these protocols and their design and deployment is critical for engineers, academics, and industry professionals in virtually every connected field.

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Happy Hour Snacks: Silly-Good Food For Those Times In-Between by Bec Vrana Dickinson
English | October 22, 2024 | ISBN: 1743799977 | 208 pages | MOBI | 218 Mb
Happy Hour Snacks is a go-to guide to simple, delicious food to share in the looser, lazier and louder comfort of your own home. Containing 80 moreish recipes, this cookbook is about making bites with less utensils, more shortcuts, and with a drink in hand.

Experience the shared joy of effortless entertaining with recipes that encourage everyone at the table to get involved. Learn how to shuck oysters, make an easy fresh pasta and graze on great-tasting dishes such as Lazy man'oushe, 'Nduja with super honey and Kimchi garlic bread. Chapters are split into snack cravings: You're a bit salty (salt), The spice and smoke show (spice and smoke), How good is acid? (zest and tang), Cheese sleaze (cheese) and Afters, always. (liquor-based desserts) with options to do a little more, or even less, plus Batch cocktails to keep glasses full.
Pick your level of time commitment ('quickie', 'minor investment' or 'go the distance'), pour up the drink pairing and feel free to use a knife, scissors, or just your hands. We're using pre-made ingredients, submitting to sticky fingers and are really just here for a good old time. We're entertaining your way - hey, go you.

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