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NumPy Essentials
book

NumPy Essentials

by Jaidev Deshpande, Leo (Liang-Huan) Chin, Tanmay Dutta, Shane Holloway
April 2016
Beginner
156 pages
3h 23m
English
Packt Publishing
Content preview from NumPy Essentials

Chapter 10. Further Reading

NumPy is a powerful scientific module in Python; hopefully, in the previous nine chapters, we have shown you enough to prove this to you. ndarray is the core of all other Python scientific modules. The best way to use NumPy is by using numpy.ndarray as the basic data format and combining it with other scientific modules for preprocess, analyze, compute, export, and so on. In this chapter, our focus is on introducing you to a couple of modules that can work with NumPy and make your work/research more efficient.

In this chapter, we will be covering the following topics:

  • pandas
  • scikit-learn
  • netCDF4
  • scipy

pandas

pandas is, by far, the most preferable data preprocessing module in Python. The way it handles data is very similar ...

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Publisher Resources

ISBN: 9781784393670Supplemental Content