SKU/Artículo: AMZ-B0G9KXN2Q3
Mastering NumPy Basics: Understand Arrays, Vectorization, and Numerical Computing in Python.
Format:
Kindle
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.76 kg
0.76 kg
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Sí
Sí
Condición
Nuevo
Nuevo
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Amazon
Amazon
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USA
USA
Sobre este producto
- NumPy is one of the most important libraries in the Python ecosystem, powering numerical computing, data analysis, and scientific applications. Understanding NumPy is a key step for anyone who wants to work efficiently with data and mathematical operations in Python. Mastering NumPy Basics: Understand Arrays, Vectorization, and Numerical Computing in Python is a beginner-friendly yet practical tutorial that teaches NumPy from the ground up. This book starts with the fundamentals and gradually introduces core concepts such as arrays, indexing, slicing, broadcasting, vectorized operations, and essential mathematical functions. The explanations are clear and focused, supported by practical code examples that demonstrate how NumPy works in real programming scenarios. Instead of overwhelming readers with theory, the book emphasizes hands-on learning and best practices for writing efficient and readable NumPy code. Inside this book, you will learn:How NumPy arrays work and why they are faster than Python listsHow to manipulate and reshape multidimensional dataHow vectorization improves performance and code clarityHow to apply mathematical and statistical operations using NumPyHow to avoid common beginner mistakes and write clean NumPy programsThis book is ideal for Python beginners, students, and developers who want to build a strong foundation in numerical computing. By the end of the book, you will be well prepared to move on to advanced libraries and real-world applications that rely on NumPy.
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AR$14.568
49% OFF
AR$7.466
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