SciPy
Explore the SciPy library to understand its key features for scientific computing. Learn how to apply linear algebra functions, perform numerical integration, and use statistical tools like distributions and t-tests, all built on top of NumPy arrays for efficient data science workflows.
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SciPy is an open-source Python-based library that provides support for mathematical, engineering, technical, and scientific computing. SciPy packages are generally needed for scientific computing. Scipy functions are optimized to perform high-level executions. The library is very easy to use, and has good documentation support. It can work with NumPy arrays, as SciPy is built on top of NumPy. Additionally, SciPy contains more data science-related functions than NumPy. It is freely available, as it was ...