SKU/Artículo: AMZ-B0FT6LHK9P
PYTHON NUMPY ARRAY MANIPULATION MASTERY VECTORIZATION, BROADCASTING, AND INTEGRATION WITH OTHER LIBRARIES: 100 Scientific Computing Projects for Efficient Data Handling
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Kindle
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0.76 kg
0.76 kg
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Amazon
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USA
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- Python NumPy Array Manipulation Mastery: Vectorization, Broadcasting, and Integration with Other Libraries – 100 Scientific Computing Projects for Efficient Data HandlingMastering NumPy is the cornerstone of becoming an efficient Python programmer in the fields of data science, machine learning, scientific computing, and AI-driven applications. This comprehensive guide takes you deep into the core of NumPy array operations, equipping you with the tools and techniques to handle massive datasets, optimize performance, and integrate seamlessly with the wider Python ecosystem.Through 100 carefully designed hands-on projects, this book moves beyond the basics into advanced techniques that transform the way you code, analyze, and compute. Each project is crafted to show you how to solve real-world data problems while reinforcing the core concepts of vectorization, broadcasting, and multidimensional array manipulation.Inside, you will explore:NumPy Foundations and Advanced Array Structures: Master arrays, slicing, indexing, reshaping, stacking, and splitting to build a solid base for scientific computing.Vectorization and Broadcasting: Unlock blazing-fast performance by replacing inefficient Python loops with vectorized operations and broadcasting techniques for multidimensional datasets.Integration with Other Libraries: Learn how NumPy integrates seamlessly with Pandas, SciPy, Matplotlib, TensorFlow, and Scikit-learn, ensuring smooth workflows for analytics and AI pipelines.Numerical and Scientific Applications: Dive into linear algebra, Fourier transforms, random number generation, probability, and statistical modeling with NumPy as your computational backbone.Optimization and Memory Efficiency: Implement techniques for memory mapping, stride tricks, in-place modifications, and efficient data transfers for high-performance applications.Practical Real-World Projects: From financial modeling and image processing to natural language processing and AI-driven simulations, each of the 100 projects is designed to sharpen your problem-solving skills while building a portfolio of applied work.This book is not just theory—it’s a lab manual for modern data handling. Every chapter emphasizes hands-on coding exercises, best practices, and performance tips that help you move from writing “working code” to building optimized, production-ready solutions.Whether you are a data scientist, researcher, AI developer, engineer, or Python enthusiast, this guide provides the knowledge and experience you need to manipulate data with confidence, efficiency, and precision.By the end, you will have:A deep mastery of NumPy array manipulationThe ability to vectorize and broadcast complex operationsPractical experience integrating NumPy into scientific and AI workflowsA complete portfolio of 100 real-world projects showcasing your expertiseUnlock the full power of Python’s numerical engine. Transform your coding, accelerate your computations, and build efficient solutions with NumPy mastery.
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AR$11.941
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AR$6.636
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