SKU/Artículo: AMZ-B0FT6LHK9P

PYTHON NUMPY ARRAY MANIPULATION MASTERY VECTORIZATION, BROADCASTING, AND INTEGRATION WITH OTHER LIBRARIES: 100 Scientific Computing Projects for Efficient Data Handling

Disponibilidad:
Fuera de stock

Peso con empaque:
0.36 kg

Devolución:
No

Condición
Nuevo

Producto de:
Amazon

Sobre este producto

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.
A deep mastery of NumPy array manipulation
The ability to vectorize and broadcast complex operations
Practical experience integrating NumPy into scientific and AI workflows
A complete portfolio of 100 real-world projects showcasing your expertise