9798180376701 - advanced numpy guide: high-performance array programming, vectorization, and numerical computing with python for data science and machine learning di kuester, max (5 risultati)
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Taschenbuch. Condizione: Neu. Neuware - Are you still relying on loops for tasks that NumPy can complete much faster If you've learned the basics of NumPy but feel like you're only scratching the surface, this book is designed to help you move beyond beginner techniques and start using NumPy the way experienced developers, data…analysts, and machine learning practitioners do in real projects.One challenge many Python users face is knowing how to create arrays and perform simple calculations but not understanding how to take advantage of NumPy's most powerful features. As datasets grow larger, inefficient code becomes slower, harder to maintain, and more expensive to run. This book shows you how to solve those problems step by step.Rather than overwhelming you with theory, you'll learn through practical examples that explain not only how advanced NumPy features work, but also when and why to use them. You'll see how experienced developers write efficient numerical code, process large datasets, and improve performance without sacrificing readability.Throughout the book, you'll learn how to create and manipulate complex arrays, reshape and transform data efficiently, and use advanced indexing and broadcasting techniques to simplify your code. You'll discover how vectorized operations can replace slow loops, allowing your programs to run significantly faster while remaining clean and easy to understand.You'll also explore essential topics such as numerical computing, linear algebra, statistical analysis, memory optimization, and performance tuning. Along the way, you'll learn how NumPy fits into modern data science, machine learning, and scientific computing workflows, helping you build solutions that scale to real-world problems.By the time you finish this book, you'll be able to approach data-intensive tasks with confidence, write faster and more efficient NumPy code, and understand the techniques that separate beginner-level scripts from professional-quality numerical applications.If you're ready to take your NumPy skills to the next level and start writing code that is faster, cleaner, and more scalable, this book will show you exactly how to get there.Get your copy of Advanced NumPy Guide today and start making the most of what NumPy can do.
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Da: California Books, Miami, FL, U.S.A.California Books
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Da: CitiRetail, Stevenage, Regno UnitoCitiRetail
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EUR 34,20
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Paperback. Condizione: new. Paperback. Are you still relying on loops for tasks that NumPy can complete much faster?If you've learned the basics of NumPy but feel like you're only scratching the surface, this book is designed to help you move beyond beginner techniques and start using NumPy the way experienced developers, data a…nalysts, and machine learning practitioners do in real projects.One challenge many Python users face is knowing how to create arrays and perform simple calculations but not understanding how to take advantage of NumPy's most powerful features. As datasets grow larger, inefficient code becomes slower, harder to maintain, and more expensive to run. This book shows you how to solve those problems step by step.Rather than overwhelming you with theory, you'll learn through practical examples that explain not only how advanced NumPy features work, but also when and why to use them. You'll see how experienced developers write efficient numerical code, process large datasets, and improve performance without sacrificing readability.Throughout the book, you'll learn how to create and manipulate complex arrays, reshape and transform data efficiently, and use advanced indexing and broadcasting techniques to simplify your code. You'll discover how vectorized operations can replace slow loops, allowing your programs to run significantly faster while remaining clean and easy to understand.You'll also explore essential topics such as numerical computing, linear algebra, statistical analysis, memory optimization, and performance tuning. Along the way, you'll learn how NumPy fits into modern data science, machine learning, and scientific computing workflows, helping you build solutions that scale to real-world problems.By the time you finish this book, you'll be able to approach data-intensive tasks with confidence, write faster and more efficient NumPy code, and understand the techniques that separate beginner-level scripts from professional-quality numerical applications.If you're ready to take your NumPy skills to the next level and start writing code that is faster, cleaner, and more scalable, this book will show you exactly how to get there.Get your copy of Advanced NumPy Guide today and start making the most of what NumPy can do. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
