Altri libri che potrebbero interessarti

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  Aws Data Analytics for Beginners...

  Brian Murray

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  In today's digital age, data has become the lifeblood of every business, and the ability to extract insights from it can be a game-changer. With the rise of cloud computing, AWS has emerged as a leader in providing data analytics services that help businesses transform raw data into actionable insights. 
  In "AWS Data Analytics: Unleashing the Power of Data: Insights and Solutions with AWS Analytics", readers will gain a comprehensive understanding of the key concepts, tools, and techniques used in data analytics on AWS. The book provides a step-by-step guide to leveraging AWS data analytics services to drive business growth and efficiency. 
  Starting with an overview of data analytics and its applications, the book delves into the fundamentals of AWS data analytics, including data warehousing, data lakes, analytics tools, real-time analytics, and machine learning. It provides practical insights into how to set up and manage each service, optimize performance, and reduce costs. 
  Readers will learn best practices for AWS data analytics, including security considerations and cost-saving measures. The book also covers emerging trends in data analytics and predictions for the future of AWS data analytics. 
  Whether you're a data scientist, a business analyst, or an executive looking to make data-driven decisions, "AWS Data Analytics: Unleashing the Power of Data: Insights and Solutions with AWS Analytics" is an essential guide for anyone looking to leverage the power of data on AWS. With this book, you can unleash the true potential of your business and stay ahead of the competition. 
   

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  Parallel and High Performance...

  Fabio Nelli

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  Unleash the capabilities of Python and its libraries for solving high performance computational problems. 
  
  KEY FEATURES 
  - Explores parallel programming concepts and techniques for high-performance computing. 
  - Covers parallel algorithms, multiprocessing, distributed computing, and GPU programming. 
  - Provides practical use of popular Python libraries/tools like NumPy, Pandas, Dask, and TensorFlow. 
  
  DESCRIPTION 
  This book will teach you everything about the powerful techniques and applications of parallel computing, from the basics of parallel programming to the cutting-edge innovations shaping the future of computing. 
  The book starts with an introduction to parallel programming and the different types of parallelism, including parallel programming with threads and processes. The book then delves into asynchronous programming, distributed Python, and GPU programming with Python, providing you with the tools you need to optimize your programs for distributed and high-performance computing. 
  The book also covers a wide range of applications for parallel computing, including data science, artificial intelligence, and other complex scientific simulations. You will learn about the challenges and opportunities presented by parallel computing for these applications and how to overcome them. 
  By the end of the book, you will have insights into the future of parallel computing, the latest research and developments in the field, and explore the exciting possibilities that lie ahead. 
  WHAT WILL YOU LEARN 
  - Build faster, smarter, and more efficient applications for data analysis, machine learning, and scientific computing 
  - Implement parallel algorithms in Python 
  - Best practices for designing, implementing, and scaling parallel programs in Python 
  
  WHO IS THIS BOOK FOR? 
  This book is aimed at software developers who wish to take their careers to the next level by improving their skills and learning about concurrent and parallel programming. It is also intended for Python developers who aspire to write fast and efficient programs, and for students who wish to learn the fundamentals of parallel computing and its practical uses. 
  
  TABLE OF CONTENTS 
  1. Introduction to Parallel Programming 
  2. Building Multithreaded Programs 
  3. Working with Multiprocessing and mpi4py Library 
  4. Asynchronous Programming with AsyncIO 
  5. Realizing Parallelism with Distributed Systems 
  6. Maximizing Performance with GPU Programming using CUDA 
  7. Embracing the Parallel Computing Revolution 
  8. Scaling Your Data Science Applications with Dask 
  9. Exploring the Potential of AI with Parallel Computing 
  10. Hands-on Applications of Parallel Computing

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  Crystal Bowl Meditation Music...

  Sound Healing Foundation

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  Discover the profound healing and tranquil energy of "Crystal Bowl Meditation Music", an enchanting collection of 11 unique soundscapes designed to elevate your meditation practice and bring balance to your mind, body, and spirit. Each track is crafted using the resonant tones of crystal singing bowls, known for their ability to promote deep relaxation, emotional healing, and spiritual awakening.
   
  
   
  Whether you are seeking a calming backdrop for meditation, yoga, or simply a way to unwind after a long day, this album offers a sonic journey into stillness and peace. The ethereal, pure tones of the crystal bowls work harmoniously to release tension, reduce stress, and encourage a meditative state where true healing can begin.
   
  
   
  Perfect for anyone who desires to:
  
    Enter a state of deep relaxation and inner peace
    Rebalance their chakras and energy centers
    Soothe the nervous system and relieve anxiety
    Enhance mindfulness, clarity, and spiritual growth
  
   
  Let the soothing vibrations of crystal bowls carry you into a space of profound serenity. Whether you're a seasoned meditator or just beginning your mindfulness journey, "Crystal Bowl Meditation Music" is the ideal companion for creating a peaceful and restorative atmosphere.
   
  Are you ready to experience the transformational power of sound? Immerse yourself in the healing frequencies today!

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  My First Summer In The Sierra

  John Muir

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  In My First Summer in the Sierra, John Muir recounts his transformative journey through California’s Sierra Nevada in the summer of 1869. As a young Scottish-American naturalist, Muir joins a crew of shepherds driving a flock of sheep to the high mountain meadows. Through vivid and poetic descriptions, he captures the breathtaking landscapes, towering sequoias, rushing rivers, and vast granite peaks. 
  Muir’s keen observations of the flora, fauna, and geology of the region, combined with his deep spiritual connection to nature, reflect his evolving philosophy of wilderness preservation. His journal entries, written with enthusiasm and reverence, reveal his profound love for the Sierra and his growing advocacy for protecting its beauty. 
  This classic work, filled with wonder and awe, is a cornerstone of American nature writing and played a key role in inspiring the conservation movement and the creation of national parks. 
  Cover Photo by gali: https://www.pexels.com/photo/trees-near-mountain-640907/

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  Explainable AI - Making Machine...

  Sam Miley

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  Build AI systems that don’t just work — they win trust. 
  In today’s fast-moving AI-powered world, accuracy isn’t enough. Whether you’re building models for healthcare, finance, retail, or enterprise software, one thing is clear: if users and stakeholders can’t understand your AI, they won’t trust it. 
  Explainable AI is your practical, results-driven guide to building transparent, trustworthy, and human-friendly AI systems. Packed with real-world examples and proven techniques, this book shows you how to turn black-box models into clear, interpretable tools that users can believe in — and regulators can approve. 
  What you’ll gain from this book: 
  •	Tools like SHAP and LIME to explain predictions clearly 
  •	Strategies to increase model transparency without sacrificing accuracy 
  •	Step-by-step ways to meet compliance, reduce risk, and gain user buy-in 
  •	Industry case studies that prove explainability is a competitive advantage 
  Insights that make your AI smarter and more responsible 
  If you want to build AI solutions that people trust, adopt, and love — this is the book that will show you how.

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  Electro Girl

  Lainie Chait

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  Lainie Chait was diagnosed with epilepsy in 1991 at the age of 19. At the time of diagnosis, there were three roads to go down - avoidance, acceptance or rebellion.  Avoidance was her first choice. Falling in the shower, brain jerks and muscle twitches when she was 14 was the beginning of something 'not quite right' about her early teenage years. She hid these symptoms from family and friends for three years in the hope that they were just ‘growing pains’.As she started reaching the age of independence (18 in Australia) and started to drink, stay up late and go out partying, these ‘growing pains’ turned into a seizure condition that could no longer be ignored.  Eventually doctors, diagnoses and medicines were brought into the equation.She tried acceptance but at the time it wasn’t the right fit, as the very thought of taming down her young, fun life and replace it with medicine, early nights and mature personal decisions was just too hard to fathom. Rebellion then became her main focus and she achieved this by partying, staying up late and ignoring the triggers. This mindset carried with it an enormous amount of embarrassment and shame.  She constantly felt like a failure after each of the 250+ Grand Mal seizures she endured over 25 years.  But she wasn’t just rebelling against a diagnosis; she was rebelling against a system that has the capacity to make you feel better but at a price that also keeps you in a place of perpetual illness.  She needed to know why she had epilepsy and the only way she was going to find this out was to take herself off all the meds and research it, live it, feel it, document and manage it for herself.She did this much to the horror of her doctors, friends and family.  She went on a journey to get to know her brain and what makes it tick and glitch. The journey was about finding out just how much control she did and didn’t have over her seizures.Electro Girl is Lainie Chait's story of resilience, growth and self advocacy.

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