Numerical Python: Scientific Computing and Data Science Applications with Numpy, SciPy and MatDescriptionlib
English | 2024 | ASIN : B0D2CHYKQR | 485 Pages | PDF | 24 MB
Learn how to leverage the scientific computing and data analysis capabilities of Python, its standard library, and popular open-source numerical Python packages like NumPy, SymPy, SciPy, matDescriptionlib, and more. This book demonstrates how to work with mathematical modeling and solve problems with numerical, symbolic, and visualization techniques. It explores applications in science, engineering, data analytics, and more.
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