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Learning SciPy for Numerical and Scientific Computing by Francisco J. Blanco-Silva

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Summary

In this chapter we have learned the benefits of using the combination of Python, NumPy, SciPy, and matplotlib as a programming environment for any scientific endeavor that requires mathematics; in particular, anything related to numerical computations. We have explored the environment, learned how to download and install the required libraries, used them for some quick computations, and figured out a few good ways to search for help.

In the next chapter we will guide you through basic object creation in SciPy, including the best methods to manipulate data, or obtain information from it.

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