-
Любые журналы Актион-МЦФЭР регулярно !!! Пишите https://www.nado.ws/conversations/add?to=pantera или на электронный адрес pantera@nado.ws
Collection Download Ebooks Best Seller Updated Daily
- Автор темы booksz
- Дата начала
Deep Learning with Python. Part 1
English | 2024 | ISBN: 2940179602880 | Pages: 130 | EPUB (True) | 319.59 KB
Deep learning has revolutionized the field of artificial intelligence, enabling computers to perform complex tasks that were once thought to be exclusive to human intelligence. Python, with its rich ecosystem of libraries and frameworks, has emerged as the language of choice for implementing deep learning algorithms.
"Deep Learning with Python: Bridging the Gap for Advanced AI" is a comprehensive guide that takes readers on a journey through the world of deep learning, equipping them with the knowledge and skills necessary to bridge the gap between basic understanding and advanced applications.
This book begins with a solid foundation in the fundamentals of deep learning, covering neural networks, deep architectures, and optimization techniques. Readers will explore the building blocks of deep learning with Python, including data preparation and preprocessing, model selection and evaluation, and an in-depth look at popular deep learning libraries and tools like TensorFlow, Keras, and PyTorch.
Moving beyond the basics, the book dives into advanced techniques such as convolutional neural networks (CNNs) for image classification and object detection, recurrent neural networks (RNNs) for sequence modeling and language generation, and generative adversarial networks (GANs) for image generation and style transfer.
The book also delves into deep learning for natural language processing, covering word embeddings, language modeling, and text classification. It explores transfer learning and deep reinforcement learning, providing insights into how pre-trained models can be leveraged and how deep learning can be applied to solve complex problems in reinforcement learning domains.
Ethical and responsible AI practices are at the forefront of discussions, and this book addresses the challenges of bias and fairness, privacy and security, and the explainability and interpretability of deep learning models. It provides guidelines for developing and deploying ethical AI systems.
With a focus on practicality, this book includes case studies and practical projects that allow readers to apply their knowledge in real-world scenarios. From image recognition to sentiment analysis and text generation, readers will gain hands-on experience by working on diverse projects.
The book concludes with a glimpse into the future trends and challenges in deep learning, exploring its applications in healthcare, autonomous vehicles, generative models, and creative applications.
Written by experts in the field, "Deep Learning with Python: Bridging the Gap for Advanced AI" is a valuable resource for researchers, developers, and enthusiasts who want to unlock the full potential of deep learning using Python. Whether you are a beginner or an experienced practitioner, this book will equip you with the tools and techniques to take your AI endeavors to new heights.
Код:
Rapidgator
https://rg.to/file/4c1cbfa1489148c77a2319421130daf9/5cd48.7z.html
[b]DDownload[/b]
https://ddownload.com/u7duvfsjl6ei/5cd48.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/05usnl9jkx4s/5cd48.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/42lulhqrcjtr/5cd48.7z
Fikper
https://fikper.com/S7eVbqrMbx/5cd48.7z.html
Deep Learning with Python. Part 2
English | 2024 | ISBN: 2940180579799 | Pages: 170 | EPUB (True) | 343.47 KB
Deep learning has revolutionized the field of artificial intelligence, enabling computers to perform complex tasks that were once thought to be exclusive to human intelligence. Python, with its rich ecosystem of libraries and frameworks, has emerged as the language of choice for implementing deep learning algorithms.
"Deep Learning with Python: Bridging the Gap for Advanced AI" is a comprehensive guide that takes readers on a journey through the world of deep learning, equipping them with the knowledge and skills necessary to bridge the gap between basic understanding and advanced applications.
This book begins with a solid foundation in the fundamentals of deep learning, covering neural networks, deep architectures, and optimization techniques. Readers will explore the building blocks of deep learning with Python, including data preparation and preprocessing, model selection and evaluation, and an in-depth look at popular deep learning libraries and tools like TensorFlow, Keras, and PyTorch.
Moving beyond the basics, the book dives into advanced techniques such as convolutional neural networks (CNNs) for image classification and object detection, recurrent neural networks (RNNs) for sequence modeling and language generation, and generative adversarial networks (GANs) for image generation and style transfer.
The book also delves into deep learning for natural language processing, covering word embeddings, language modeling, and text classification. It explores transfer learning and deep reinforcement learning, providing insights into how pre-trained models can be leveraged and how deep learning can be applied to solve complex problems in reinforcement learning domains.
Ethical and responsible AI practices are at the forefront of discussions, and this book addresses the challenges of bias and fairness, privacy and security, and the explainability and interpretability of deep learning models. It provides guidelines for developing and deploying ethical AI systems.
With a focus on practicality, this book includes case studies and practical projects that allow readers to apply their knowledge in real-world scenarios. From image recognition to sentiment analysis and text generation, readers will gain hands-on experience by working on diverse projects.
The book concludes with a glimpse into the future trends and challenges in deep learning, exploring its applications in healthcare, autonomous vehicles, generative models, and creative applications.
Written by experts in the field, "Deep Learning with Python: Bridging the Gap for Advanced AI" is a valuable resource for researchers, developers, and enthusiasts who want to unlock the full potential of deep learning using Python. Whether you are a beginner or an experienced practitioner, this book will equip you with the tools and techniques to take your AI endeavors to new heights.
Код:
Rapidgator
https://rg.to/file/87f1c7948acdb93d7f036b92ab07ce55/gwr57.7z.html
[b]DDownload[/b]
https://ddownload.com/ljcdk62qgqh0/gwr57.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/gjjmmsa4z9mr/gwr57.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/0snt0g1wus7j/gwr57.7z
Fikper
https://fikper.com/nEv6YU6JU9/gwr57.7z.html
Deep Learning with Python, Third Edition (MEAP V04) By François Chollet and Matthew Watson
English | 2025 | ISBN: 9781633436589 | 903 pages | PDF,EPUB | 77.22 MB
The bestselling book on Python deep learning, now covering generative AI, Keras 3, PyTorch, and JAX!
Deep Learning with Python, Third Edition puts the power of deep learning in your hands. This new edition includes the latest Keras and TensorFlow features, generative AI models, and added coverage of PyTorch and JAX. Learn directly from the creator of Keras and step confidently into the world of deep learning with Python.
In Deep Learning with Python, Third Edition you'll discover
Deep learning from first principles
The latest features of Keras 3
A primer on JAX, PyTorch, and TensorFlow
Image classification and image segmentation
Time series forecasting
Large Language models
Text classification and machine translation
Text and image generation-build your own GPT and diffusion models!
Scaling and tuning models
With over 100,000 copies sold, Deep Learning with Python makes it possible for developers, data scientists, and machine learning enthusiasts to put deep learning into action. In this expanded and updated third edition, Keras creator François Chollet offers insights for both novice and experienced machine learning practitioners. You'll master state-of-the-art deep learning tools and techniques, from the latest features of Keras 3 to building AI models that can generate text and images.
about the book
Deep Learning with Python, Third Edition introduces deep learning from scratch. Each chapter introduces practical code examples that build up your understanding of deep learning layer by layer. You'll appreciate the intuitive explanations, crisp color illustrations, and clear examples. In this expanded third edition you'll find fresh chapters on the transformers architecture, building your own GPT-like large language model, and image generation with diffusion models. Plus, even DL veterans will benefit from the insightful explanations on the nature of deep learning.
Код:
Rapidgator
https://rg.to/file/7e0baa0cdbd0de64b36fc6d619c302c6/i4506.7z.html
[b]DDownload[/b]
https://ddownload.com/elv39c2qg2kb/i4506.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/339rgvyuj7nt/i4506.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/xgt1nxmdv4pw/i4506.7z
Fikper
https://fikper.com/1EtM8Atpek/i4506.7z.html
[b]FreeDL[/b]
https://frdl.io/2hjulwu214qa/i4506.7z.html
Deep Learning with PyTorch, Second Edition (MEAP V10)
English | 2025 | ISBN: 9781633438859 | 540 pages | PDF,EPUB | 32.68 MB
Everything you need to create neural networks with PyTorch, including Large Language and diffusion models.
Deep Learning with PyTorch, Second Edition updates the bestselling original guide with new insights into the transformers architecture and generative AI models. Instantly familiar to anyone who knows PyData tools like NumPy and scikit-learn, PyTorch simplifies deep learning without sacrificing advanced features.
In Deep Learning with PyTorch, Second Edition you'll find:
Deep learning fundamentals reinforced with hands-on projects
Mastering PyTorch's flexible APIs for neural network development
Implementing CNNs, RNNs and Transformers
Optimizing models for training and deployment
Generative AI models to create images and text
In Deep Learning with PyTorch, Second Edition you'll learn how to create your own neural network and deep learning systems and take full advantage of PyTorch's built-in tools for automatic differentiation, hardware acceleration, distributed training, and more. PyTorch makes it easy to build the powerful neural networks that underpin many modern advances in artificial intelligence. This second edition has been thoroughly revised by PyTorch core developer Howard Huang to cover the latest features and applications, including generative AI models.
about the book
Deep Learning with PyTorch, Second Edition is a hands-on guide to modern machine learning with PyTorch. You'll discover how easy PyTorch makes it to build your entire DL pipeline, including using the PyTorch Tensor API, loading data in Python, monitoring training, and visualizing results. Each new technique you learn is put into action to build a full-size medical image classifier chapter-by-chapter.
In this modernized second edition, you'll find new coverage of how to develop and train groundbreaking generative AI models. You'll learn about the foundational building blocks of transformers to create large language models and generate exciting images by building your own diffusion model. Plus, you'll discover ways to improve your results by training with augmented data, make improvements to the model architecture, and perform fine tuning.
Код:
Rapidgator
https://rg.to/file/4da133df11d5c03c8aa5002b674e4899/5k429.7z.html
[b]DDownload[/b]
https://ddownload.com/b1c35oz2ses3/5k429.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/ui1hthpqhpsk/5k429.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/hc7tr9ch4w6z/5k429.7z
Fikper
https://fikper.com/IOnbs7xIU2/5k429.7z.html
[b]FreeDL[/b]
https://frdl.io/nm9m29uqmeko/5k429.7z.html
Deep Learning (Deep Learning Books Book 1)
English | 2024 | ASIN: B0FCM73RLS | 696 pages | EPUB (True) | 7.70 MB
Welcome to "Deep Learning: A Comprehensive Guide," a book meticulously designed to cater to the needs of learners at various stages of their journey into the fascinating world of deep learning. Whether you are a beginner embarking on your first exploration into artificial intelligence or a seasoned professional looking to deepen your expertise, this book aims to be your trusted companion.
Deep learning, a subset of machine learning, has revolutionized the field of artificial intelligence, enabling advancements that were once thought to be the stuff of science fiction. From autonomous vehicles to sophisticated natural language processing systems, deep learning has become the backbone of many cutting-edge technologies. Understanding and mastering deep learning is not just a desirable skill but a necessity for anyone looking to thrive in the modern tech landscape.
What This Book Offers
This book is not just a theoretical exposition but a practical guide designed to provide you with a holistic learning experience. Here's a glimpse of what you can expect:
Structured Content:
Starts with neural network basics and advances to topics like convolutional, recurrent, and generative adversarial networks.
Each chapter builds on the previous, ensuring a comprehensive learning journey.
Online Practice Questions:
Each chapter includes practice questions from basic to advanced levels to test and reinforce your understanding.
Videos:
Instructional videos complement the book's content, offering step-by-step explanations and real-life applications.
Exercises and Projects:
Includes exercises and hands-on projects that simulate real-world problems, providing practical experience.
Lab Activities:
Features lab activities using frameworks like TensorFlow and PyTorch for hands-on experimentation with deep learning models.
Case Studies:
Illustrates the application of deep learning in industries such as healthcare, finance, and entertainment, highlighting its transformative potential.
Comprehensive Coverage:
Covers a broad spectrum of topics, from theoretical foundations to practical implementations, latest advancements, ethical considerations, and future trends.
Who Should Use This Book?
This book is designed for:
Students and Academics: Pursuing studies in computer science, data science, or related fields.
Industry Professionals: Enhancing skills or transitioning into roles involving deep learning.
Embarking on the journey to master deep learning is both challenging and rewarding. This book is designed to make that journey as smooth and enlightening as possible. We hope that the combination of theoretical knowledge, practical exercises, projects, and real-world applications will equip you with the skills and confidence needed to excel in the field of deep learning.
Код:
Rapidgator
https://rg.to/file/810a9f138b5e85608cf19ed1be871bb1/hj1ho.7z.html
[b]DDownload[/b]
https://ddownload.com/vxyvvw5mxo2u/hj1ho.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/ttg8f9goqur8/hj1ho.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/0i87aiwp8yl7/hj1ho.7z
Fikper
https://fikper.com/cHnD9oTBrc/hj1ho.7z.html
[b]FreeDL[/b]
https://frdl.io/urgsji2tln4b/hj1ho.7z.html
Deep Listening: Transform Your Relationships with Family, Friends, and Foes, US Edition by Emily Kasriel
English | June 24th, 2025 | ISBN: 0063352982 | 352 pages | True EPUB | 9.12 MB
"If you've ever felt like two ears aren't enough, this book is for you. Deep Listening reveals how we can improve at hearing others-and helping them hear us too." -Adam Grant, #1 New York Times bestselling author of Think Again and Hidden Potential, and host of the podcast Re:Thinking
Why do so many conversations leave us feeling unheard and disconnected? In Deep Listening, acclaimed BBC journalist, accredited executive coach, and mediator Emily Kasriel argues that it's because we've forgotten how to truly listen.
Distracted by our own agenda, we so often hear without understanding, impatiently waiting for our turn to speak. In this exploration of transformational listening, Kasriel shows how shifting from surface-level exchanges to Deep Listening can enrich our relationships as friends, parents, and partners, enhance our effectiveness as leaders, and strengthen the fabric of our communities. At a time when divisions within communities, organizations, and families are often a source of profound pain, this book offers inspiration and practical guidance on how we can better listen to each other, even when we fiercely disagree.
Drawing on scientific studies, new research, and powerful stories from legendary listeners in politics, business, and the arts, Kasriel unveils her simple yet transformative eight-step approach. With Deep Listening as your guide, you'll learn to become a better family member, friend, co-worker and citizen.
At once a practical guide and a heartfelt manifesto, this groundbreaking book challenges us to rethink our approach to listening and in doing so, transform our lives from the inside out. Whether readers seek to strengthen their empathy, boost their performance at work, or foster genuine understanding across cultural, political, and generational divides, Deep Listening provides the tools and inspiration to unlock the power of lasting, meaningful connections.
Код:
Rapidgator
https://rg.to/file/4fdc1845ffe656c0f504d22484ca045c/14un2.7z.html
[b]DDownload[/b]
https://ddownload.com/131k0cas43d7/14un2.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/7svym20c3smz/14un2.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/l4nzye56mngd/14un2.7z
Fikper
https://fikper.com/G4twrM2MnM/14un2.7z.html
[b]FreeDL[/b]
https://frdl.io/znv6e2dcif18/14un2.7z.html
Deep Reinforcement Learning: An Essential Guide
English | 2024 | ISBN: B0DL4VFHLR | Pages: 363 | EPUB (True) | 816.21 KB
"Deep Reinforcement Learning: An Essential Guide" offers a comprehensive introduction to one of the most dynamic and transformative areas of artificial intelligence. This book meticulously unravels the intricate concepts of deep reinforcement learning (DRL), bridging foundational theories with cutting-edge applications. Addressing both newcomers and experienced practitioners, it provides a structured exploration from the basics of neural networks and reinforcement learning to the sophisticated mechanisms that drive core algorithms like DQN, PPO, and policy gradient methods.
The book emphasizes real-world applications, showcasing DRL's impact across gaming, finance, healthcare, and autonomous systems, illustrating its vast potential and versatility. By understanding the strategic balance of exploration and exploitation, readers gain insight into designing intelligent agents capable of thriving in complex environments. As DRL continues to evolve, the text also delves into current challenges and future directions, such as ethical considerations, safety, and efficiency, preparing readers to contribute to and innovate within this rapidly advancing field. Comprehensive yet accessible, this guide is an invaluable resource for anyone aspiring to harness the power of deep reinforcement learning.
Код:
Rapidgator
https://rg.to/file/29b4047d5cb2bf94420f51ebe01b3adf/gpur6.7z.html
[b]DDownload[/b]
https://ddownload.com/iupnbtloncgg/gpur6.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/z1vt6c00j5la/gpur6.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/zmp0d2lo9knc/gpur6.7z
Fikper
https://fikper.com/iQvHQ48p7f/gpur6.7z.html
Deep Reinforcement Learning Hands-On: A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF
English | 2024 | ISBN: 1835882706 | 716 pages | EPUB (True) | 106.61 MB
Maxim Lapan delivers intuitive explanations and insights into complex reinforcement learning (RL) concepts, starting from the basics of RL on simple environments and tasks to modern, state-of-the-art methods
Purchase of the print or Kindle book includes a free PDF eBook
Key Features
Learn with concise explanations, modern libraries, and diverse applications from games to stock trading and web navigation
Develop deep RL models, improve their stability, and efficiently solve complex environments
New content on RL from human feedback (RLHF), MuZero, and transformers
Book Description
Start your journey into reinforcement learning (RL) and reward yourself with the third edition of Deep Reinforcement Learning Hands-On. This book takes you through the basics of RL to more advanced concepts with the help of various applications, including game playing, discrete optimization, stock trading, and web browser navigation. By walking you through landmark research papers in the fi eld, this deep RL book will equip you with practical knowledge of RL and the theoretical foundation to understand and implement most modern RL papers.
The book retains its approach of providing concise and easy-to-follow explanations from the previous editions. You'll work through practical and diverse examples, from grid environments and games to stock trading and RL agents in web environments, to give you a well-rounded understanding of RL, its capabilities, and its use cases. You'll learn about key topics, such as deep Q-networks (DQNs), policy gradient methods, continuous control problems, and highly scalable, non-gradient methods.
If you want to learn about RL through a practical approach using OpenAI Gym and PyTorch, concise explanations, and the incremental development of topics, then Deep Reinforcement Learning Hands-On, Third Edition, is your ideal companion
What you will learn
Stay on the cutting edge with new content on MuZero, RL with human feedback, and LLMs
Evaluate RL methods, including cross-entropy, DQN, actor-critic, TRPO, PPO, DDPG, and D4PG
Implement RL algorithms using PyTorch and modern RL libraries
Build and train deep Q-networks to solve complex tasks in Atari environments
Speed up RL models using algorithmic and engineering approaches
Leverage advanced techniques like proximal policy optimization (PPO) for more stable training
Who this book is for
This book is ideal for machine learning engineers, software engineers, and data scientists looking to learn and apply deep reinforcement learning in practice. It assumes familiarity with Python, calculus, and machine learning concepts. With practical examples and high-level overviews, it's also suitable for experienced professionals looking to deepen their understanding of advanced deep RL methods and apply them across industries, such as gaming and finance
Table of Contents
What Is Reinforcement Learning?
OpenAI Gym API and Gymnasium
Deep Learning with PyTorch
The Cross-Entropy Method
Tabular Learning and the Bellman Equation
Deep Q-Networks
Higher-Level RL Libraries
DQN Extensions
Ways to Speed Up RL
Stocks Trading Using RL
Policy Gradients
Actor-Critic Methods - A2C and A3C
The TextWorld Environment
Web Navigation
Continuous Action Space
Trust Region Methods
Black-Box Optimizations in RL
Advanced Exploration
Reinforcement Learning with Human Feedback
AlphaGo Zero and MuZero
RL in Discrete Optimization
Multi-Agent RL
Код:
Rapidgator
https://rg.to/file/43d83f052afe2be9c4c3c2fa9f880bf7/lrgli.7z.html
[b]DDownload[/b]
https://ddownload.com/ehp4srtxnjsq/lrgli.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/jef64k6cq5mr/lrgli.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/3g6wmbycv0ft/lrgli.7z
Fikper
https://fikper.com/EySWc5kVkY/lrgli.7z.html
[b]FreeDL[/b]
https://frdl.io/q4yatx8vtnb8/lrgli.7z.html
Deep Thinking in the Age of AI: Why Critical Thinking and Deep Focus are Essential in a Machine-Driven World
English | 2024 | ISBN: B0DMFXT2NP | Pages: 142 | EPUB (True) | 401.70 KB
Machines are Thinking . . . Are You? . . .
As artificial intelligence and automation rapidly take over routine tasks, the most valuable skills you can possess are uniquely human-critical thinking, deep focus, and the ability to solve complex problems.
"Deep Thinking in the Age of AI: Why Critical Thinking and Deep Focus are Essential in a Machine-Driven World"
is your definitive guide to mastering these essential skills and staying ahead in an era of unprecedented technological change.
As artificial intelligence transforms industries and reshapes the job market, those who can think critically and maintain deep focus will have a distinct advantage. This book offers practical strategies to help you develop these crucial skills, ensuring you not only survive but thrive in the AI revolution.
What You'll Discover:
The Paradox of Progress
: Understand why, as technology makes life easier, the need for deep thinking becomes more critical than ever before.
Develop Critical Thinking Skills
: Learn how to sharpen your mind, evaluate complex information, and make smarter decisions in a world overflowing with data and distractions.
Master Deep Focus
: Discover techniques to cultivate deep focus, allowing you to complete high-value work efficiently and achieve mastery in your field.
Adapt to the AI Job Market
: Gain insights into the future of work, the roles that will be most affected by AI, and how to stay relevant and competitive by continually evolving your skill set.
Universal Basic Income (UBI) and AI
: Explore the thought-provoking debate on UBI as a solution to AI-induced job displacement and its potential to redefine the future of work.
Who Should Read This Book?
Professionals and Entrepreneurs
: Stay ahead of the curve by mastering the skills that will be most valuable in an AI-driven world.
Students and Lifelong Learners
: Prepare for the future by developing critical thinking and deep focus-skills that will set you apart in your studies and future career.
Leaders and Innovators
: Equip yourself with the tools to navigate the complexities of AI, leading your team or organization to success in a rapidly changing landscape.
Why This Book?
In a time when distractions are everywhere and AI is transforming the way we live and work, this book is a powerful resource for anyone looking to enhance their cognitive abilities and stay relevant. With clear, actionable advice,
"Deep Thinking in the Age of AI"
is not just a book-it's a blueprint for thriving in a world driven by machines.
Are you ready to lead in the age of AI?
Order your copy today and take the first step towards mastering the skills that will define your future.
Код:
Rapidgator
https://rg.to/file/89ede1b66cbe3524e639192f0b62491b/vranw.7z.html
[b]DDownload[/b]
https://ddownload.com/f143vdh7j9mq/vranw.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/zcvkn2ygm34e/vranw.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/tmw6ppntr0c9/vranw.7z
Fikper
https://fikper.com/BUZnt7HsmC/vranw.7z.html
Defensive C++ Arduino Programming: A practical C++ primer for Arduino programming to become an effective C++ programmer.
English | 2023 | ASIN: B0CG4G332H | 692 pages | PDF | 5.72 MB
Defensive C++ Arduino Programming
If you are you are constantly frustrated due to fighting against the tools you are working with, or feel that you are reinventing the wheel, this book is for you.
If you find that you are dedicating too much time on C++ programming and experience it as a hard, grueling task, you may want to consider a practical C++ programming approach as presented in this Arduino programming book.
Arduino C++ is based on the C++ programming language. C++ is a powerful professional grade programming language developed for mission critical applications. Under its deceptive simplicity lie powerful mechanisms, a trap for the newbie C++ programmer. C++ for dummies is a misnomer as it takes work and smarts to achieve effective C++ programming.
There are good reasons for using Arduino and C programming enhanced by C++ programming. Arduino is the most ubiquitous microcontroller available and efficient C++ enables writing the smallest and fastest possible code for it.
Why Arduino and C++ are an excellent choice for embedded software development.
Good programming practices help to get it right the first time around.
Which IDE should you work with? Arduino, AtmelStudio (MicrochipStudio), Visual Studio plus Visual Micro, Microsoft VS Code, PlatformIO, Code::Blocks, MPlab?
Visual Studio plus Visual Micro is, IMHO, the best tool to develop Arduino applications with. This book will guide you on using this tandem and details the process of importing Arduino sketches. The learning curve is short.
Print and hardware-based debugging are covered extensively. These are good reasons for you to develop with Visual Studio plus Visual Micro and use AtmelStudio to hardware debug with ATmega XMini boards.
The new Arduino IDE version 2 is presented. Is it ready to replace version 1.8.19?
Understand what lies under the IDEs' hoods. Behind the scenes, the IDEs drive the GNU toolchain (preprocessor, compiler, linker, make) - avrdude to upload code into your microcontroller.
Seventeen C++ frameworks save you from inadvertently reinventing the wheel. Full source code available from the books' Web site:
Код:
https://md-dsl.frC++'s exception handling not being supported by the Arduino environment, use the Pseudo Exception Handling Framework, setjmp/longjmp based.
Awk, Perl, and regular expressions enable you to undertake tasks otherwise not feasible. A Perl program detects virtually undetectable silly mistakes ( in
Код:
https://md-dsl.frManage memory to determine its status (contiguous and fragmented memory). Anticipate memory requirements and discover memory hogs and memory leaks.
The companion book, Pragmatic C++ Arduino Programming, explains C++ fundamental mechanisms, the preprocessor, the PROGMEM framework, the many gotchas C++ can throw at you, how to manage memory, and a lot more.
Download free open-source licensed frameworks source code and Awk, Perl, and regular expression tidbits from the books' Web site:
Код:
https://md-dsl.frBeing defensive as you write code means being aware that your path is paved with danger. Discover how nasty C++ gotchas can get and how using professional grade tools can save you time and take the hassle out of developing with C/C++.
Код:
Rapidgator
https://rg.to/file/7a934d7931c3f28103ed24a665434361/hl8fv.7z.html
[b]DDownload[/b]
https://ddownload.com/aiw5b7i9ogzg/hl8fv.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/7z21qpuflrhc/hl8fv.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/phqb6e5lup3m/hl8fv.7z
Fikper
https://fikper.com/Y1rLDgD40D/hl8fv.7z.html
[b]FreeDL[/b]
https://frdl.io/v3ty7qh3c78e/hl8fv.7z.html
Definitely Maybe: The Birth, Death and Resurrection of Oasis by Andy Bollen
English | May 22, 2025 | ASIN: B0F3K8RHXB | 277 pages | True EPUB | 1.0 MB
Ride the Oasis rollercoaster ahead of Live '25.
Oasis were Artful Dodgers from a housing estate who created stadium anthems that connected with millions. They became the band of the people by giving the people what they wanted: rock 'n' roll.
Ahead of the Live '25 Tour, Definitely Maybe offers a unique take on their story. The euphoric highs, spectacular implosions, chaos, excesses and sibling rivalry. How the Gallagher brothers captured the zeitgeist of the 1990s by embodying the hopes and frustrations of a disillusioned generation.
In a rollercoaster ride from their humble beginnings in Manchester through Britpop jousts with Blur and legendary shows at Knebworth, Andy Bollen unveils how their relentless drive, swagger, Irish blood and English heart left an indelible mark on pop history.
Код:
Rapidgator
https://rg.to/file/0153db6baa8b419459becdbe5e8154bf/iryjg.7z.html
[b]DDownload[/b]
https://ddownload.com/1u6d1m6qh9hm/iryjg.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/z9ks8a3q3kwl/iryjg.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/ivsuual6b0bn/iryjg.7z
Fikper
https://fikper.com/Td1JzzQCU2/iryjg.7z.html
[b]FreeDL[/b]
https://frdl.io/yxzf18vaea7j/iryjg.7z.html
Del Big Bang A La Actualidad: La Gran Historia. Viaja a través del tiempo y el espacio con una fascinante crónica que revela la evolución del universo ... (Ciencia Para Todos) (Spanish Edition) by Alejandro Romero Pérez
Spanish | September 11, 2024 | ISBN: N/A | ASIN: B0DGRXZSRG | 244 pages | EPUB | 1.75 Mb
✧.* Embárcate en una travesía cósmica con "Del Big Bang a la Actualidad: La Gran Historia" *ੈ✩‧₊˚ (IMPRESIÓN EN BLANCO Y NEGRO)
✔ ¿Te fascina la evolución del universo desde sus orígenes hasta la actualidad?
✔ ¿Quieres explorar cómo la historia de la Tierra, la vida y la humanidad se entrelazan en una narrativa grandiosa?
Este libro ofrece una perspectiva única que une la historia del cosmos, la Tierra, la vida y la humanidad en una narrativa integral. A través de sus páginas, descubrirás cómo los eventos cósmicos y terrestres han dado forma a nuestra existencia actual.
■□■□■□■□■□■□■□■□■□■□■□■□■□■□■□■□■□■
★ Historia Cósmica: Explora el origen del universo con el Big Bang y descubre cómo las partículas elementales y las fuerzas fundamentales han dado forma a nuestro cosmos. Entiende la importancia de las estrellas masivas y cómo la muerte de las estrellas influye en la evolución del universo. Aprende sobre nuestro vecindario cósmico y la historia del Sistema Solar.
★ Historia de la Tierra y la Vida: Adéntrate en el surgimiento de la vida en la Tierra y cómo la evolución ha llevado a la diversidad biológica actual. Examina las extinciones masivas, el enfriamiento de la Tierra y la evolución del cerebro humano. Conoce cómo la evolución del cerebro ha contribuido a la conciencia y el desarrollo de nuestra especie.
★ Historia de la Humanidad: Descubre el surgimiento de la agricultura, la influencia de la religión y el Estado, y cómo la globalización y la Revolución Industrial han transformado la sociedad. Explora las consecuencias medioambientales de la Revolución Industrial y el desarrollo del sistema financiero internacional y la inteligencia artificial.
●・○・●・○・●・○・●・○・●・○・●・○・●・○・●・○・●
Explora temas clave como:
◉ El origen y evolución del universo desde el Big Bang.
◉ La evolución de la vida en la Tierra y su impacto en la biodiversidad.
◉ La influencia de la Revolución Industrial y la globalización en la sociedad moderna.
◉ El desarrollo y el futuro de la inteligencia artificial y su impacto en nuestra vida cotidiana.
Код:
Rapidgator
https://rg.to/file/794e75db821715dc1748abe0be0abbd6/tyy9y.7z.html
[b]DDownload[/b]
https://ddownload.com/iazcf4o48gtl/tyy9y.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/g6o52rc4iqae/tyy9y.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/sb1go62l1qcz/tyy9y.7z
Fikper
https://fikper.com/OfZkkrKaSm/tyy9y.7z.html
[b]FreeDL[/b]
https://frdl.io/iiccg07pbr6s/tyy9y.7z.html
Delimiting Modernities: Conceptual Challenges and Regional Responses By Sven Trakulhun; Ralph Weber
2015 | 306 Pages | ISBN: 073919948X | EPUB | 1 MB
This collection seeks to contribute to the many long-standing discussions on modernity, but also and more specifically to the more recent debates over trends to pluralize modernity. These debates are current in many different academic disciplines such as sociology, anthropology, literature and postcolonial studies. Hitherto, most engagements with modernity in the plural have remained conspicuously confined to one or other intra-disciplinary notion of modernities, such as that of Shmuel Eisenstadt's "multiple modernities" which has triggered a host of conference papers and publications largely within sociology: all the while, it seems that the literatures, for instance, of multiple modernities and alternative modernities are each distinguished by the fact that one ignores the other. It is the principal aim of this edited volume to subject these disciplinary discussions to a more encompassing view, assembling contributions from different scholars who not only work in different disciplines and regional settings, but who also engage with their research topics in a variety of approaches and at different levels of analysis. The volume thus transcends the sometimes narrow boundaries of the debates over modernities within the established academic disciplines and seeks to turn the unavoidable friction brought about by this interdisciplinary setting into most original and insightful scholarship.
Код:
Rapidgator
https://rg.to/file/c669f1763ba933a6c6409712d721b35b/ossv2.7z.html
[b]DDownload[/b]
https://ddownload.com/7cpoyucavabh/ossv2.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/88vqisvnchvd/ossv2.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/0vd5ciiaulto/ossv2.7z
Fikper
https://fikper.com/IEyny5a8uk/ossv2.7z.html
Delphi Programming Essentials: A Comprehensive Guide to Rapid Application Development
English | 2024 | ISBN: B0DL3R1W6X | Pages: 414 | EPUB (True) | 341.24 KB
"Delphi Programming Essentials: A Comprehensive Guide to Rapid Application Development" offers an in-depth exploration into the world of Delphi, designed to cater to both new and experienced programmers. This meticulously crafted guide provides a strong foundation in Delphi's programming language, its rich integrated development environment, and the powerful Visual Component Library (VCL). Covering core concepts from basic syntax and control structures to advanced topics like object-oriented programming and multithreading, this book ensures a thorough understanding and effective utilization of Delphi's robust features.
Beyond programming fundamentals, this guide delves into practical applications such as database management, user interface design, and comprehensive debugging techniques-arming developers with the skills necessary to create efficient, reliable applications. With additional focus on deployment strategies and security considerations, readers are well-equipped to manage the complete software development lifecycle. "Delphi Programming Essentials" stands as an essential resource for those seeking to harness the full potential of Delphi in crafting sophisticated and high-performance software solutions.
Код:
Rapidgator
https://rg.to/file/7213d02aa243f1e13ea647db47ba2350/wo24y.7z.html
[b]DDownload[/b]
https://ddownload.com/dvwo3it6ygga/wo24y.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/wy7xp7pn3ohw/wo24y.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/qex78pn7uchc/wo24y.7z
Fikper
https://fikper.com/8oXhQ23Sbb/wo24y.7z.html
Demand-Side Energy and Power Management in Data Centers:
Are Data Centers Modern Societies' Double-Edged Sword?
English | 2025 | ISBN: 3031859553 | 362 Pages | PDF EPUB (True) | 40 MB
This book explains the principles, foundations and methodologies adopted in data centers to achieve demand-side energy and peak power management. It gives a brief introduction about Smart Grid, how the transition from legacy to Smart Grid is realized, the different approaches for demand-side management (DSM), and then discusses the opportunities of data centers to achieve DSM and highlight the different considered optimization criterion.
Код:
Rapidgator
https://rg.to/file/9b22171eb1f53535fb8cd0d66f663d35/2wsw2.7z.html
[b]DDownload[/b]
https://ddownload.com/30oc2cpwq2tm/2wsw2.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/rbuy7zcvzdic/2wsw2.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/cz3q1535fs1z/2wsw2.7z
Fikper
https://fikper.com/FapvS72lk3/2wsw2.7z.html
[b]FreeDL[/b]
https://frdl.io/8u63svgcrztz/2wsw2.7z.html
Demystifying Prompt Engineering: AI Prompts at Your Fingertips (A Step-By-Step Guide)
English | 2023 | ISBN: B0CB1X6WTB | Pages: 150 | EPUB (True) | 488.50 KB
Demystifying Prompt Engineering: AI Prompts At Your Fingertips.
AI is poised to create a whole new way of working. Are you ready for the pivotal moment?
Generative AI tools are rapidly transforming businesses and red
Код:
Rapidgator
https://rg.to/file/b2557e2d7e2eb7698b464e509dbafab6/5h2a8.7z.html
[b]DDownload[/b]
https://ddownload.com/d76r8utl3dc1/5h2a8.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/qdglnvb75uc3/5h2a8.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/ajenxy5vultc/5h2a8.7z
Fikper
https://fikper.com/gfYMdbHpxa/5h2a8.7z.html
Deploy Intelligent AI Agents with Amazon Bedrock - Step-by-Step
English | 2025 | h264, yuv420p, 1920x1080 | 48000 Hz, 2channels | Duration: 2h 3m | 431 MB
Discover the full potential of Amazon Bedrock through a meticulously structured course designed to transform your understanding of AI agent deployment. You'll begin with foundational insights into Amazon Bedrock's core features, benefits, and pricing, followed by a guided walkthrough of the platform's playground and its ability to generate visual outputs. This phase helps you grasp how Bedrock simplifies access to foundation models while keeping enterprise-grade security intact.
You'll then move into the heart of the course-designing and deploying intelligent agents. This section unpacks the Bedrock agent framework, including agent creation, action groups, knowledge bases, and runtime operations. Through rich, hands-on labs, you'll build, test, and optimize your own AI agents, simulating real business use cases and learning how to utilize Lambda functions to expand agent capabilities.
In the final capstone project, you'll deploy a complete web scraper agent that extracts real-time data and serves a frontend client. This end-to-end challenge synthesizes your knowledge into a tangible AI application. By course completion, you'll be confident in integrating generative AI agents into scalable systems using Amazon Bedrock.
Код:
Rapidgator
https://rg.to/file/79d0b0740df3ac36ab21cb3a4d47912a/v3mi0.7z.html
[b]DDownload[/b]
https://ddownload.com/k53eza16iypj/v3mi0.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/pxbxru34sdc0/v3mi0.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/w0y83k90l9gc/v3mi0.7z
Fikper
https://fikper.com/oFITHDwApJ/v3mi0.7z.html
[b]FreeDL[/b]
https://frdl.io/gg89gcv2als3/v3mi0.7z.html
Depressionen und Panikattacken loswerden: wie sie ihre Ängste überwinden & ihr Selbstbewusstsein stärken
Deutsch | 2019 | ISBN: 1096873044 | 49 Pages | PDF | 0.4 MB
In der heutigen Gesellschaft nehmen psychische Krankheiten immer mehr zu, wohingegen körperliche Krankheiten abnehmen.Uns müsste es so doch so gut gehen im 21 Jahrhundert, da wir in Wohlstand leben und unsere Grundbedürfnisse erfüllt sind. Deutschland geht es im Vergleich zu vielen anderen Ländern auf der Welt ziemlich gut. Doch die Veränderung der Gesellschaft durch die Arbeitswelt, Globalisierung, Migration, Umwelt und immer mehr Single Haushalten, steigt die Anzahl psychisch kranker Menschen. Die typischsten Krankheiten sind Depressionen, Angststörungen, Panikattacken, soziale Phobie, Essstörungen usw. Doch die gute Nachricht ist, das es auch wieder einen Weg raus gibt.
Код:
Rapidgator
https://rg.to/file/10897b2c4eaccf10e30a1dfbb52452d4/2rt6j.7z.html
[b]DDownload[/b]
https://ddownload.com/r1gbk4h46f3o/2rt6j.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/z8fpo4mixdcv/2rt6j.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/90fblbfc5meq/2rt6j.7z
Fikper
https://fikper.com/bNM7C3zFdv/2rt6j.7z.html
Depressive Disorder: Diagnosis, Treatment and Therapeutic Innovations: Mental Disorders: A Series on Psychological Conditions
English | 2024 | ISBN: B0DKFVJNQ7 | Pages: 286 | EPUB (True) | 539.21 KB
Depression
is one of the most prevalent and debilitating
psychiatric
conditions today, affecting millions of people worldwide. This book offers a comprehensive and updated approach to
depressive disorder
, exploring everything from its
neurobiological
foundations to the latest
therapeutic innovations
. Designed for
mental health professionals
such as psychiatrists, psychologists, and students in related fields, this work gathers essential information for understanding,
diagnosis
, and
management
of this condition.
Key Topics Covered:
Neurobiological and Psychological Bases of Depression
: Discover the brain mechanisms behind depressive disorder, focusing on
neurotransmitters
,
genetic
and
epigenetic
influences, and the latest advancements in
neuroscience
.
Classification of Depressive Disorders
: Learn in detail about
Major Depressive Disorder (MDD)
,
Dysthymia
, and other subtypes based on the criteria of
DSM-5
and
ICD-11
.
Diagnosis and Assessment
: Practical tools, assessment scales, and clinical interviews for accurate differential diagnosis, including the assessment of
suicide risk
.
Etiology and Risk Factors
: Explore the interaction between
genetic
,
environmental
factors, trauma, and
chronic illnesses
that influence the development of depression.
Therapeutic Interventions
: Evidence-based approaches such as
Cognitive Behavioral Therapy (CBT)
,
pharmacotherapy
with
antidepressants
, and advanced biological treatments like
Electroconvulsive Therapy (ECT)
and
Transcranial Magnetic Stimulation (TMS)
.
Management and Prevention Strategies
: Techniques to prevent relapse and promote long-term
well-being
, emphasizing
social support
and
multidisciplinary care
.
Depression in Specific Populations
: A detailed look at
perinatal depression
, in
elderly
individuals, in those with
chronic illnesses
, and among
vulnerable populations
.
Future Perspectives
: The latest research on
digital therapies
, neuroscience, and new therapeutic approaches for depression, including technological innovations in
mental health
.
Why This Book Is Essential
: With an integrated and scientific view, this book goes beyond traditional approaches, exploring both established treatments and emerging perspectives. It is an indispensable tool for anyone looking to understand the complexity of depressive disorder and provide the best care for their patients, making it essential reading for all those working in
mental health
.
Код:
Rapidgator
https://rg.to/file/db21796da828c7936b4e3edb8ce7e63a/hpgne.7z.html
[b]DDownload[/b]
https://ddownload.com/7uf7if9vftip/hpgne.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/y21sczr0ypgw/hpgne.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/f00rzmidy534/hpgne.7z
Fikper
https://fikper.com/JnHtvhkr28/hpgne.7z.html
Ian Baxter - Der Deutsche Panzerkrieg 1939-1945
Neuer Kaiser Verlag | 2003 | ISBN: 3704350354 | Deutsch | 232 pages | PDF | 115.47 MB
Код:
Rapidgator
https://rg.to/file/a3a083d59f3bab71a61cae6a8b6cfd66/1lgkk.7z.html
[b]DDownload[/b]
https://ddownload.com/swtiyb4hata4/1lgkk.7z
[b]UploadCloud[/b]
https://www.uploadcloud.pro/88ov3zmig9wf/1lgkk.7z.html
[b]Fileaxa[/b]
https://fileaxa.com/u9q42yzh6fzm/1lgkk.7z
Fikper
https://fikper.com/j7WElV98sG/1lgkk.7z.html
[b]FreeDL[/b]
https://frdl.io/gdlkjyp053ae/1lgkk.7z.html