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About Scipy 1.0-Fundamental Algorithms For Scientific Computing in Python
This document summarizes the history and capabilities of SciPy, an open-source Python library for scientific computing. Key points: - SciPy 1.0 was released in 2017 and provides fundamental algorithms and data structures for modeling and solving scientific problems, building on NumPy. - SciPy is relied upon by scientists, engineers, and machine learning projects, and was used in analyzing gravitational waves and imaging the black hole M87. - Though initially created by students without much funding, SciPy has become a standard in research and industry, with over 600 contributors and millions of downloads annually. - SciPy provides functionality for tasks like clustering, Fourier transforms, integration, interpolation, linear algebra, image processing,
Detailed Information
| Author: | ['naveeenkec'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 22 |
| Language: | English |
| Format: | |
| Price: | FREE |
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