Collection Download Ebooks Best Seller Updated Daily

[booksz]

below here , this is a free ebooks search engine, the best free ebooks download library. It's the open directory for free ebooks and download links.

Updated daily for you .

 

[booksz]

Hacked: Your Step by Step Recovery Plan
English | 2025 | ASIN: B0FB6QPMTX | 53 pages | EPUB (True) | 3.17 MB
Being hacked refers to unauthorized access to a computer system or network, typically with the intent to steal, alter, or destroy data. This breach can occur through various methods, including malware, phishing attacks, or exploiting security vulnerabilities. When a hacker gains access to your system, they can manipulate your files, steal personal information, or even use your computer as a launchpad for further attacks. Understanding what it means to be hacked is crucial for recognizing the signs of an intrusion and taking appropriate action.

Rapidgator
https://rg.to/file/c16e499183ea1cb7ad385d804f076f73/hu782.7z.html
[b]DDownload[/b]
https://ddownload.com/1kcolcefa4c7/hu782.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/p0i4zjoggpkz/hu782.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/w0pmy3ct1fw7/hu782.7z
Fikper
https://fikper.com/B980Q1yGBB/hu782.7z.html
[b]FreeDL[/b]
https://frdl.io/umtkmux01g3o/hu782.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Hacking Electronics: Learning Electronics with Arduino and Raspberry Pi, Second Edition
English | 2017 | ISBN: B074HVSBTL | Pages: 303 | EPUB (True) | 15.01 MB
This hands-on guide will teach you all you need to know to bring your electronic inventions to life!

This fully updated guide shows, step-by-step, how to disassemble, tweak, and re-purpose everyday devices for use in your own electronics creations. Written in the clear, easy-to-follow style that Dr. Simon Monk is famous for, this expanded edition includes coverage of both Arduino AND Raspberry Pi.
Hacking Electronics: Learning Electronics with Arduino and Raspberry Pi, Second Edition
, demonstrates each technique through fun DIY projects. Packed with full-color illustrations, photos, and diagrams, the book gets you up and running on your own projects right away. You will discover how to hack sensors, accelerometers, remote controllers, ultrasonic rangefinders, motors, stereo equipment, FM transmitters, and more.
* Contains start-to-finish hacks for both Arduino AND Raspberry Pi!
* Features new coverage of ready-made modules available online
* Offers tips on working with Simon's hacking electronics kit

Rapidgator
https://rg.to/file/00f6f2ad9e9a97af546b5bdf73694881/f83gn.7z.html
[b]DDownload[/b]
https://ddownload.com/9c6431dkb3qm/f83gn.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/wd5nr1grmd4c/f83gn.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/1kdcsj3xt70y/f83gn.7z
Fikper
https://fikper.com/FSGU797pYE/f83gn.7z.html
[b]FreeDL[/b]
https://frdl.io/agkqvgq1rb81/f83gn.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Hallo Microsoft Excel: Mastering Data Analytics
English | 2024 | ISBN: 9798224559312 | Pages: 406 | EPUB (True) | 23.21 MB
Dive into the world of data analytics with

Hallo Microsoft Excel: Mastering Data Analytics
, a comprehensive guide designed to unlock the full potential of Microsoft Excel as a powerful tool for data analysis. From the basics of data entry and formatting to the complexities of dynamic reports and dashboards, this book demystifies Excel's most advanced features, making them accessible to analysts, data enthusiasts, and professionals seeking to enhance their analytical skills. Through a series of hands-on labs and real-world scenarios inspired by discussions from a vibrant online community, readers will learn to navigate Excel's intricate functionalities with ease and confidence.
Hallo Microsoft Excel: Mastering Data Analytics
takes you on a journey through the art of data visualization, conditional formatting, growth analysis, and beyond, offering practical instructions and expert tips every step of the way. Whether you're analyzing sales data, exploring market trends, or creating compelling visual reports, this book provides the insights and step-by-step guidance needed to transform raw data into actionable insights. By leveraging Excel's capabilities for interactive reporting, you'll discover how to present data that speaks volumes, making complex analyses understandable and engaging for any audience.
Designed with the reader in mind, this book bridges the gap between theoretical knowledge and practical application, ensuring you can apply Excel's data analytics capabilities to your real-world challenges immediately. Hallo Microsoft Excel: Mastering Data Analytics is not just a manual; it's a transformational tool that empowers you to make informed decisions based on robust data analysis. Whether you're a novice eager to learn or a seasoned professional looking to refine your skills, this book is an essential resource for anyone ready to harness the power of Excel for data analytics.

Rapidgator
https://rg.to/file/de2acef7cbae81273bc0d5adb60031f4/lfsp3.7z.html
[b]DDownload[/b]
https://ddownload.com/euy1e9wr795x/lfsp3.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/9a0xn5e8jiii/lfsp3.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/zwxh6oiy39de/lfsp3.7z
Fikper
https://fikper.com/0DpGZcJnnP/lfsp3.7z.html
[b]FreeDL[/b]
https://frdl.io/uy4s7n40pz2x/lfsp3.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Handbook of Decision Analysis
English | 2025 | ISBN: 1394283881 | 489 Pages | PDF | 32 MB
With substantive illustrations based on the authors' personal experiences throughout, Handbook of Decision Analysis describes the philosophy, knowledge, science, and art of decision analysis. Key insights from decision analysis applications and behavioral decision analysis research are presented, and numerous decision analysis textbooks, technical books, and research papers are referenced for comprehensive coverage.

Rapidgator
https://rg.to/file/5a4e9a253e9dd8b6f54770fdc60454ab/reptu.7z.html
[b]DDownload[/b]
https://ddownload.com/83zpnubpy6qr/reptu.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/h48b3bwbg00f/reptu.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/5ilq7upjz1c1/reptu.7z
Fikper
https://fikper.com/sO8RLGBiky/reptu.7z.html
[b]FreeDL[/b]
https://frdl.io/fboj4st81m0j/reptu.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Handbook of Energy Management in Agriculture
by Amitava Rakshit, Asim Biswas
English | 2023 | ISBN: 9811977356 | 767 Pages | True ePUB | 59 MB

This handbook provides a holistic overview of different aspects of energy management in agriculture with an orientation to address the sustainable development goals. It covers possible applications not only from a technical point of view, but also from economic, financial, social, regulatory, and political viewpoints. Agriculture is one of the most imperative sectors that contribute to the economy across different agro-ecologies of the universe with energy inputs in each stage of production, from making and applying chemicals to fueling tractors that lay seeds and harvest crops to electricity for animal housing facilities. The majority of agricultural research has focused on the use of input, production, and productivity, whereas rational energy budgeting and use remain an overlooked and likely underestimated segment, ignored so far while formulating agro-ecosystem framework. Energy management study is a new frontier of agriculture and is challenging duе to complex enterprises, spatial-temporal variability, exposure to pollution, and the predominant effect of the anthropogenic factor on ecology and environment. But it is worth taking the challenge considering the important prerequisite role of energy for sustainable development which has been evidenced from increasing research in recent times. Of recent origin, there are critical, in-depth studies around the globe assessing the capture and flow of energy in the ecosystem, which will help to develop a conceptual framework to incorporate this vital resource in the agriculture management template. This book is a state-of-the-art resource for a broad group of readers including a diversity of stakeholders and professionals in universities, public energy institutions, farmers and farming industry, public health and other relevant institutions, and the broader public as well.

Rapidgator
https://rg.to/file/0de493a57fc742f522092dfaef68ce87/5eaby.7z.html
[b]DDownload[/b]
https://ddownload.com/2sqqt5xj7uih/5eaby.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/zws97c7p4889/5eaby.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/99komcgc3qlf/5eaby.7z
Fikper
https://fikper.com/cZm0oBW0Pf/5eaby.7z.html
[b]FreeDL[/b]
https://frdl.io/83dxnavx8gub/5eaby.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Handbook of Insurance: Volume I, 3rd Edition
by Georges Dionne
English | 2025 | ISBN: 3031695607 | 535 Pages | True ePUB | 15 MB

The Handbook of Insurance reviews the last fifty years of research developments in insurance economics and its related fields. A single reference source for professors, researchers, graduate students, regulators, consultants, and practitioners, the book starts with the history and foundations of risk and insurance theory, followed by a review of prevention and precaution, asymmetric information, insurance fraud, risk management, insurance pricing, new financial innovations, reinsurance, corporate governance, capital allocation, securitization, systemic risk, insurance regulation, the industrial organization of insurance markets, and other insurance market applications. The new edition covers many topics that have risen in importance since the 2nd edition, such as climate risk, pandemic risk, insurtech, digital insurance, cyber risk, behavioral economics, Solvency II, corporate governance, enterprise risk management, and machine learning.
This edition of the Handbook contains 17 new chapters. Each of the chapters is written by leading international authorities in risk and insurance research. All contributions are peer reviewed, and each chapter can be read independently of the others.
It is a tour de force to provide to the insurance industry and its stakeholders a structured, complete, intelligent and critical synthesis of insurance economics in the twenty-first century. This is what you have in your hands. This third edition of the Handbook of Insurance should be the bible to anyone who wants to have a deep understanding of the complex challenges faced by insurance and reinsurance markets to create the large social value of risk sharing and risk diversification.
Christian Gollier, Director of the Toulouse School of Economics
This collective work not only offers a remarkable synthesis of cutting-edge research in insurance economics but also provides a rare resource, both comprehensive and authoritative, for professionals seeking a deeper understanding of insurance industry fundamentals and emerging trends. The content of the Handbook reflects the richness and dynamics of the field and underlines the many facets involved in better understanding how insurance works and contributes to society.
Jad Ariss, Managing director, The Geneva Association

Rapidgator
https://rg.to/file/9f3ed9537059b9561910d5a2fa6013a1/864p4.7z.html
[b]DDownload[/b]
https://ddownload.com/t3y7g23yoq24/864p4.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/2mvnxp8a3ua0/864p4.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/146ukjw0yvy5/864p4.7z
Fikper
https://fikper.com/x5mk0Wc3Dt/864p4.7z.html
[b]FreeDL[/b]
https://frdl.io/2vjr7472fxom/864p4.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Handbook of Mergers and Acquisitions
English | 2025 | ISBN: B0DYNR82W3 | Pages: 256 | EPUB (True) | 6.62 MB
This handbook is a useful synthesis of the most respected academic approaches and well-known professional best practices. It focuses on the private markets private equity, real estate, and infrastructure where most M&A activity now takes place. The handbook analyzes the business and operational strategies pursued through M&A and with the active participation of private capital. It then examines financial and active management approaches that can drive value creation throughout the M&A process, in a seamless end-to-end manner. This requires, almost by definition, a multidisciplinary approach. Drawing on contributions from Deloitte' s partners and professionals, the handbook also proposes an integrated methodological approach something that is increasingly required to meet the challenge of change driven by an increasingly complex economic context, combining rigorous theoretical frameworks with real-world applications.

Rapidgator
https://rg.to/file/d075de42a1bf9e485ef2d1fa813ce5b3/wq05s.7z.html
[b]DDownload[/b]
https://ddownload.com/bmgy0licrog6/wq05s.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/ak853kfnsbm7/wq05s.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/one9hcheznic/wq05s.7z
Fikper
https://fikper.com/WNXmpWHEoD/wq05s.7z.html
[b]FreeDL[/b]
https://frdl.io/pn1rzrrez8xt/wq05s.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Handbook of Microplastic Pollution in the Environment: Microplastic Pollution in the Soil
by Agustiono Kurniawan, Tonni, Anouzla, Abdelkader
English | 2025 | ISBN: 1032783737 | 788 pages | True PDF EPUB | 96.68 MB

In this timely handbook, one of a series of three, leading contributors from around the world offer practical insight into the challenges and opportunities for using various technologies to tackle microplastic pollution and improve microplastic management in agricultural soil.
Through this book, readers will gain a deep understanding of microplastic pollution in soils and its effects and knowledge of strategies and technologies to identify, monitor, and combat this. Early chapters describe microplastics in the rural environment, their accumulation, and their effects on soil biological processes and biodiversity, before moving on to address identification, analysis, and monitoring. Finally, they address innovative solutions for soil remediation, such as microbial strain engineering and other techniques. An introduction is provided at the beginning of each chapter for those interested in a brief synopsis, and copious references are provided for those wishing to study each chapter topic in greater detail. This book furnishes readers with the knowledge to identify and monitor microplastic levels in soil and reduce these to mitigate their harmful effects on soil biodiversity and ecosystems in agricultural soil, improving environmental and human health and minimizing economic losses. For a wider perspective, readers are encouraged to refer to the other two titles in this series, subtitled Microplastic Pollution in Aquatic Environments and Monitoring and Treatment of Microplastics and Policy Perspectives.
In its exploration of the relationships among the characteristics of microplastics, their mobility, transport pathways, and treatment, this handbook represents a vital practical guide for academics, industry-based researchers, and policymakers worldwide to address soil biodiversity and ecological health.

Rapidgator
https://rg.to/file/3b8a1c2933485e56bc3db3569a65d884/qm7du.7z.html
[b]DDownload[/b]
https://ddownload.com/817je7z5gr8y/qm7du.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/89k20bwfr3gx/qm7du.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/2io5zb37v758/qm7du.7z
Fikper
https://fikper.com/tJx03siBef/qm7du.7z.html
[b]FreeDL[/b]
https://frdl.io/jpsceeckj7bs/qm7du.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Hands on Electronics: DIY Electronics Learning in 10 Days (Hands-On Electronics)
English | 2023 | ASIN: B0BSCMMM1B | 156 pages | Epub | 15.58 MB
Electronics Learner's book by hand is divided into ten sections. Each of these tithes is further divided into three hours. The book is specifically written so that the reader can learn electronics by himself in a short period of time or during a semester, during study breaks.

*The book deals with the theory of electronics. The theory required for electronics circuit design is discussed at the beginning of the book. From this theory, the reader can learn about many things like how the circuit works or how electricity flows inside the parts and how to design the circuit to make it work better.
*Necessary examples and figures are inserted with each topic.
*Electronics components or devices are discussed in the book. What each component looks like, what they mean in the market, how to recognize them, how to use them; It has been discussed in detail with pictures.
*Electronics simulation software 'Multisim' is included in the online site accompanying the book. After learning about theory and circuit components, how to design circuits using computer software and perform circuit simulations is discussed.

Rapidgator
https://rg.to/file/60ea7e959eb4bfa594e295d090d848a1/jebmt.7z.html
[b]DDownload[/b]
https://ddownload.com/b6k6wmlpxogg/jebmt.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/jkj56pae0s2x/jebmt.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/zh6vf0xxqyp2/jebmt.7z
Fikper
https://fikper.com/aQmRf2snj7/jebmt.7z.html
[b]FreeDL[/b]
https://frdl.io/ayw9ivlvu970/jebmt.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Hands-On AI Trading with Python, QuantConnect, and AWS
English | 2025 | ISBN: 1394268432 | 641 Pages | PDF | 24 MB
Unlike other books, this one focuses on designing actual trading strategies rather than setting up backtesting infrastructure. It utilizes QuantConnect, providing access to key market data from Algoseek and others. Examples are available on the book's GitHub repository, written in Python, and include performance tearsheets or research Jupyter notebooks.

Rapidgator
https://rg.to/file/276a04d204a333322208253e1f18ec32/7ruws.7z.html
[b]DDownload[/b]
https://ddownload.com/6urioudegzr1/7ruws.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/99ekdu1i56rc/7ruws.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/ls9i84jvlwk2/7ruws.7z
Fikper
https://fikper.com/9pdokd6JqA/7ruws.7z.html
[b]FreeDL[/b]
https://frdl.io/cz7kc793e5mx/7ruws.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Hands-On APIs for AI and Data Science: Python Development with FastAPI by Ryan Day
English | April 8, 2025 | ISBN: 1098164415 | 352 pages | PDF | 8.54 Mb
Are you ready to grow your skills in AI and data science? A great place to start is learning to build and use APIs in real-world data and AI projects. API skills have become essential for AI and data science success, because they are used in a variety of ways in these fields. 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.

As you complete the chapters in the book, you'll be creating portfolio projects that teach you how toesign APIs that data scientists and AIs loveDevelop APIs using Python and FastAPIDeploy APIs using multiple cloud providersCreate data science projects such as visualizations and models using APIs as a data sourceAccess APIs using generative AI and LLMs

Rapidgator
https://rg.to/file/51d73dccc99d1172415ce89fb4a9187b/mq6ov.7z.html
[b]DDownload[/b]
https://ddownload.com/4m6hm1obtzml/mq6ov.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/q2e2ftu6w6k2/mq6ov.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/alkgz75i9ttp/mq6ov.7z
Fikper
https://fikper.com/Z9aCqurp6z/mq6ov.7z.html
[b]FreeDL[/b]
https://frdl.io/as2igjqn8cyw/mq6ov.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Hands-On AWS CDK: Building Cloud Native Applications with Infrastructure as Code
English | 2025 | ASIN: B0F4Y3GD68 | 408 pages | PDF | 3.99 MB
Looking to accelerate development and build cloud native applications with AWS Cloud Development Kit? Through hands-on projects, you'll learn the basics of AWS CDK, the tool of choice for many of the world's largest technology companies.

Informed by real case studies and years of work with enterprise-scale cloud architectures, this book will benefit both novice and advanced cloud developers. It's complete with step-by-step explanations of essential concepts, practical examples, and self-assessment questions to help you build a shareable portfolio of completed projects, demonstrating your ability to build cloud infrastructure at scale.
You'll explore:
Basic cloud computing concepts, including the AWS Well-Architected Framework
End-to-end cloud native software and infrastructure as code
The benefits of a reusable code library to accelerate your projects
Functional modules of code that can stand alone or build toward an integrated cloud application

Rapidgator
https://rg.to/file/02391ec383589ca288328c44b5fffb20/tngju.7z.html
[b]DDownload[/b]
https://ddownload.com/77h6flkxxjkq/tngju.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/vqdlvsweoqut/tngju.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/edm5io6bv88i/tngju.7z
Fikper
https://fikper.com/mRVIgzKZfk/tngju.7z.html
[b]FreeDL[/b]
https://frdl.io/4vhf26lkxf7j/tngju.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Hands-On Industrial Internet of Things: Build robust industrial IoT infrastructure by using the cloud and artificial intelligence
English | 2024 | ISBN: B0DHV9RQSY | Pages: 530 | PDF | 27.80 MB
In today's automation-driven era, precision is crucial, and the Industrial Internet of Things (IIoT) has made a remarkable impact. This updated second edition explores the technologies fueling the IIoT revolution and shares essential knowledge to enable you to establish remote-access networks.

Written by IIoT and AI experts, as well as renowned authors, this book helps you enhance your skills in emerging technologies by introducing new techniques from Azure and AWS and keeping you up to date with the latest advancements. You'll find out how Artificial Intelligence of Things (AIoT) and MLOps apply to IIoT and learn how to handle complex projects confidently. The book covers identifying and connecting industrial data sources from various sensors, advancing from foundational concepts to professional skills. You'll discover how to connect these sensors to cloud networks such as AWS IoT, Azure IoT, and open source IoT platforms, and extract data from the cloud to your devices. Through hands-on experience with tools such as Node-RED, OPC UA, MQTT, NoSQL, defense in depth, and Python, you'll develop streaming and batch-based AI algorithms.
By the end of this book, you'll have achieved a professional level of expertise in the cloud, IoT, and AI, and be able to build more robust, efficient, and reliable IoT infrastructure for your industry.

Rapidgator
https://rg.to/file/8f68d0b5ac6c10a7c5ad70e0926b8fd6/mxrl1.7z.html
[b]DDownload[/b]
https://ddownload.com/r7zl5wggrglp/mxrl1.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/ej8o77s68px3/mxrl1.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/ffmfws43ojlz/mxrl1.7z
Fikper
https://fikper.com/XlP8zNwDOV/mxrl1.7z.html
[b]FreeDL[/b]
https://frdl.io/t8yhij3qakve/mxrl1.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Hands-On Machine Learning with C++: Build, train, and deploy end-to-end machine learning and deep learning pipelines, 2nd Edition by Kirill Kolodiazhnyi
English | January 24, 2025 | ISBN: 1805120573 | True EPUB | 512 pages | 23 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++ librariesImplement practical machine learning and deep learning techniques to build smart modelsDeploy machine learning models to work on mobile and embedded devices
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++ librariesLoad and pre-process different data types to suitable C++ data structuresFind out how to identify the best parameters for a machine learning modelUse anomaly detection for filtering user dataApply collaborative filtering to manage dynamic user preferencesUtilize C++ libraries and APIs to manage model structures and parametersImplement 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.

Rapidgator
https://rg.to/file/c6c1cb4be5b659c15e1dd40ce125b6e6/e4zv4.7z.html
[b]DDownload[/b]
https://ddownload.com/te4zwwmxalf5/e4zv4.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/zqa1xgoumrmy/e4zv4.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/9dn0g0ujaeci/e4zv4.7z
Fikper
https://fikper.com/OKcZSjBPSu/e4zv4.7z.html
[b]FreeDL[/b]
https://frdl.io/60mw3o06qrnh/e4zv4.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Hands-On Microservices with JavaScript: Build scalable web applications with JavaScript, Node.js, and Docker
English | 2024 | ISBN: B0DKWVW7QH | Pages: 628 | EPUB (True) | 14.37 MB
Build, test, and deploy scalable, cloud-ready apps using modern tools and solve complex real-world problems with case studies

Key Features
Learn microservices architecture for scalable, cloud-ready applications
Build hands-on projects with Node.js, Express.js, NestJS, and Kafka
Master CI/CD pipelines, security, and monitoring for robust microservices
Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Keep up with the ever-evolving web development landscape by mastering JavaScript microservices with expert guidance from Tural Suleymani-a full-stack software engineer, architect, software development teacher, Microsoft MVP, and three-time C# Corner MVP. He distills over a decade of experience crafting high-performance, scalable solutions into this guide. He'll walk you through the fundamentals of microservices, providing a solid foundation in architecture, design principles, and the necessary tools and technologies. From beginners to seasoned developers, this book offers a clear pathway to mastering microservices with JavaScript.
With the help of hands-on tasks that simulate real-world scenarios, you'll learn how to build reliable and scalable microservices. You'll explore synchronous and asynchronous communication, real-time data streaming, and how to secure and monitor your services. The book's emphasis on a design-first approach ensures that your microservices are maintainable and future-proof. Detailed case studies from industry experts will enhance your learning experience and provide practical insights into building microservices in production environments.
By the end of this book, you'll be ready to create cloud-ready, high-performing microservices using cutting-edge JavaScript frameworks and tools and tackle real-world challenges, ensuring your applications are secure and efficient.
What you will learn
Understand synchronous and asynchronous communication between microservices
Discover how to decouple microservices using Message Broker
Build real-time data streaming microservices with JS frameworks
Understand logging and monitoring in microservices
Explore common architectural patterns for microservices
Cover microservices with unit, and integration tests
Apply CI/CD for microservices and learn to Dockerize and deploy them
Who this book is for
This book is for backend developers, full-stack developers, software architects, and frontend developers who want to venture into the world of microservices. A fundamental understanding of the JavaScript ecosystem will be helpful but not necessary, as this book will cover the essentials of microservices architecture, JavaScript programming, and modern frameworks and tools for building scalable, maintainable applications.
Table of Contents
Introduction to Microservices
Diving into Microservices Internals
What Do You Need Before Getting Started?
Stack Development Technologies
Basic CRUD Microservices
Synchronous Microservices
Asynchronous Microservices
Real-Time Data Streaming Using Microservices
Securing Microservices
Monitoring Microservices
Microservices Architecture
Testing Microservices
A CI/CD Pipeline for Your Microservices

Rapidgator
https://rg.to/file/432480d6f3901987f9ca42b9853ec10f/gm2ym.7z.html
[b]DDownload[/b]
https://ddownload.com/xa9ye7f7aexn/gm2ym.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/skazyshnnfma/gm2ym.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/grybigpjs8c4/gm2ym.7z
Fikper
https://fikper.com/PnctVgZzwq/gm2ym.7z.html
[b]FreeDL[/b]
https://frdl.io/fsf5v6vstlic/gm2ym.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Hands-on NumPy for Numerical Analysis: Unlock NumPy with Google Colab for High-Performance Numerical Computing and Optimizing Numerical Data Analysis (English Edition)
English | 2025 | ASIN: B0F28RBNXZ | 522 pages | PDF | 58.49 MB
Unlock the Power of NumPy to Accelerate Data Analysis and Computing.

Key Features
● Master NumPy concepts with hands-on examples and real-world use cases.
● Learn efficient numerical data analysis and performance optimization.
● Explore advanced NumPy functions for data science and ML workflows.
Book Description
NumPy is the backbone of numerical computing in Python, powering everything from scientific research to machine learning and AI applications. Mastering NumPy is essential for anyone working with data, enabling faster computations, efficient data structures, and seamless integration with advanced analytical tools.
Hands-on NumPy for Numerical Analysis is a comprehensive guide that takes you from the fundamentals of NumPy to its advanced applications. Through hands-on examples and real-world scenarios, this book equips data scientists, analysts, and machine learning engineers with the practical skills needed to manipulate large datasets and optimize performance. Key topics include array operations, linear algebra, signal processing, and machine learning implementations, all covered with detailed explanations and step-by-step guidance.
Whether you're building your foundation in numerical computing or looking to enhance your data analysis workflows, this book will give you a competitive edge. Don't get left behind-harness the full power of NumPy to supercharge your data science and machine learning projects today!
What you will learn
● Master NumPy array operations for high-performance numerical computing.
● Optimize data analysis workflows with efficient NumPy techniques.
● Perform advanced linear algebra and matrix operations using NumPy.
● Conduct statistical and exploratory data analysis with NumPy tools.
● Build end-to-end data processing pipelines with NumPy.
● Leverage NumPy for predictive modeling and machine learning tasks.
Who is this book for?
This book is tailored for data scientists, analysts, engineers, and researchers looking to master NumPy for efficient numerical computing. A basic understanding of Python is recommended, but no prior expertise in numerical analysis is required.
Table of Contents
1. Getting Started with NumPy
2. Understanding NumPy Array
3. Data Type (dtype) in NumPy Array
4. Indexing and Slicing in NumPy Array
5. NumPy Array Operations
6. NumPy Array I/O
7. Linear Algebra with NumPy
8. Advanced Numerical Computing
9. Exploratory Data Analysis
10. Performance Optimization
11. Implementing a Machine Learning Algorithm
Index

Rapidgator
https://rg.to/file/aaad216fb232ef28336f0062f98f8722/x1r7c.7z.html
[b]DDownload[/b]
https://ddownload.com/if7dajgl3gpd/x1r7c.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/ixugnalqihw8/x1r7c.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/n00nomr10llq/x1r7c.7z
Fikper
https://fikper.com/PvMBCeuLEf/x1r7c.7z.html
[b]FreeDL[/b]
https://frdl.io/ud59et2yaipv/x1r7c.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Hands-On Probabilistic Programming With Python: Building Intelligent Systems with Bayesian Networks and Markov Models (python programming languages: how to learn python programming language Book 6)
English | 2025 | ASIN: B0F4K4TD6P | 555 pages | Epub | 5.67 MB
Have you ever wondered how machines can make decisions in the face of uncertainty? What if you could teach your programs to think probabilistically, just like humans do?

Unlock the power of uncertainty with Hands-On Probabilistic Programming with Python! This essential guide takes you on a captivating journey through the world of probabilistic programming, enabling you to build intelligent systems that can make sense of the unpredictable.
In an age where data drives decision-making, understanding how to model uncertainty is crucial. This book dives deep into the principles of Bayesian networks and Markov models, providing you with a solid foundation to create robust, data-driven applications. Whether you're a seasoned programmer or a curious beginner, you'll find clear explanations, practical examples, and hands-on exercises that reinforce your learning.
What You'll Discover:
Foundations of Probabilistic Programming: Grasp the core concepts and terminology that underpin probabilistic models.
Bayesian Networks: Learn how to represent complex relationships and make informed predictions with real-world data.
Markov Models: Master the art of modeling sequential data, perfect for applications in finance, healthcare, and beyond.
Practical Applications: From recommendation systems to anomaly detection, explore diverse use cases that showcase the versatility of probabilistic programming.
Python Libraries: Get hands-on experience with popular libraries like PyMC3 and TensorFlow Probability, enabling you to implement your models effortlessly.
With engaging insights and a step-by-step approach, Hands-On Probabilistic Programming with Python not only teaches you the technical skills needed but also inspires you to think critically about the role of uncertainty in your projects.
Join the ranks of data scientists and AI practitioners who are shaping the future. Equip yourself with the tools to build intelligent systems that thrive in the face of uncertainty. Don't just predict the future-understand it!

Rapidgator
https://rg.to/file/d71617872ffb805ee563202aa8a71ae2/5znwb.7z.html
[b]DDownload[/b]
https://ddownload.com/q23lgtnduc0p/5znwb.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/xcac2qg3v4jc/5znwb.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/3mgmguxgtx4a/5znwb.7z
Fikper
https://fikper.com/WyhYL7hdEV/5znwb.7z.html
[b]FreeDL[/b]
https://frdl.io/vjs0bz4sjck3/5znwb.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Hands-On Python and PyTorch: A Practical Guide to Deep Learning.
English | 2025 | ASIN: B0DW13F2MY | 286 pages | PDF | 2.77 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 production
Who 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 concepts
Why 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.

Rapidgator
https://rg.to/file/ac471592a59195528602e2b592a4ada7/5y2lg.7z.html
[b]DDownload[/b]
https://ddownload.com/qwc8ohe40eca/5y2lg.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/5gswxap0sut5/5y2lg.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/xvlukwzfx3k5/5y2lg.7z
Fikper
https://fikper.com/pIZnUKKQmK/5y2lg.7z.html
[b]FreeDL[/b]
https://frdl.io/l999u52mio93/5y2lg.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Happiness at Work: How Happiness Science and Neuroscience Can Transform the Workplace by Fabrício Ribeiro, Gabriel Dias Lopes, Francis Moreira da Silveira
English | January 13, 2025 | ISBN: 8307031273 | 169 pages | EPUB | 2.63 Mb
Happiness at Work: How Happiness Science and Neuroscience Can Transform the Workplace

Discover how to transform your workplace into a space of joy and productivity with "Happiness at Work." This groundbreaking book, written by renowned authors, delves into the latest research in Happiness Science and Neuroscience to offer practical and inspiring insights.
Throughout the chapters, you will be guided on a journey that explores everything from the fundamentals of happiness at work to concrete practices to increase employee well-being and satisfaction. Learn how small changes can have a significant impact on mental and emotional health, and how leaders can cultivate a positive and inclusive organizational culture.
With success case studies, mindfulness techniques, group dynamics and recognition strategies, this book is an essential manual for any organization that wants to thrive in a world where happiness is the key to productivity and innovation.
Get ready to transform your work experience and discover that being happy at work is not only possible, but essential for a full and meaningful life. Open the pages of "Happiness at Work" and start building a future where happiness and success go hand in hand.

Rapidgator
https://rg.to/file/5ee77e836454eb70d8443d9868b182ca/t6lvu.7z.html
[b]DDownload[/b]
https://ddownload.com/0yvi8surew23/t6lvu.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/0kkhpyl6yurl/t6lvu.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/rufpbu3imdm2/t6lvu.7z
Fikper
https://fikper.com/iXL1DKUDPf/t6lvu.7z.html
[b]FreeDL[/b]
https://frdl.io/lc85uiafcjpf/t6lvu.7z.html

Links are Interchangeable - Single Extraction

 

[booksz]

Happy Leons: Leon Happy Fast Food by Rebecca Seal, John Vincent, Jack Burke
English | 2020 | ISBN: 1840918144 | 397 pages | True EPUB | 84.8 MB
The home of healthy fast food brings you 100 new recipes that are not only quick and easy, but will do you good, too.

From the very beginning, LEON has asked the question: why can''t fast food be delicious and good for you? Well, it can - this book is packed with the quickest recipes from around the world that have been given a healthy-but-flavourful LEON spin.
From burgers to baguettes, pizza to pasta and wraps to (jack)wings, Leon Happy Fast Food offers 100 recipes organized into five sections: Breads & Buns, Salads, On the Hob, Grilled & Baked, Sides, Sauces & Rubs and Sweets & Shakes.

Rapidgator
https://rg.to/file/ab485396dd7a7d4de806aa13ef3d6ef7/1yyud.7z.html
[b]DDownload[/b]
https://ddownload.com/tn38km38ofc5/1yyud.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/73c5bjav8s00/1yyud.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/i0zs3qpu9ybc/1yyud.7z
Fikper
https://fikper.com/YnldF7pPOs/1yyud.7z.html
[b]FreeDL[/b]
https://frdl.io/gtztxkakfcv0/1yyud.7z.html

Links are Interchangeable - Single Extraction