SciPyTool to help you with Python engineering. | |
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SciPy Tags
- solve Algebra Python library engineering Performance Engineering Tool Python engineering server Python to C Python Soundpack Python WSGI Implementation .NET Python python .net python deployer deploy python computer engineering engineering calculations edit Python linear algebra module Fourier transforms Python Client engineering library requirements engineering tool systems engineering tool
SciPy Description
Scientific Tools for Python SciPy (pronounced "Sigh Pie") is open-source software for mathematics, science, and engineering. It is also the name of a very popular conference on scientific programming with Python. The SciPy library depends on NumPy, which provides convenient and fast N-dimensional array manipulation. The SciPy library is built to work with NumPy arrays, and provides many user-friendly and efficient numerical routines such as routines for numerical integration and optimization. Together, they run on all popular operating systems, are quick to install, and are free of charge. NumPy and SciPy are easy to use, but powerful enough to be depended upon by some of the world's leading scientists and engineers. If you need to manipulate numbers on a computer and display or publish the results, give SciPy a try!
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