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Become a Python Data Analyst

You're reading from   Become a Python Data Analyst Perform exploratory data analysis and gain insight into scientific computing using Python

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789531701
Length 178 pages
Edition 1st Edition
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Author (1):
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Alvaro Fuentes Alvaro Fuentes
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Alvaro Fuentes
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Statistical Computing with Python

In this chapter, we will briefly talk about Scientific Library for Python (SciPy), which is the scientific toolbox for Python. We will get a brief overview of the statistics subpackage and we will use it to perform many statistical calculations, including calculations of probabilities, probability distributions, and confidence intervals. We will also perform hypothesis testing on a real-world dataset, and we will be able to state conclusions that go beyond the sample that we have.

In this chapter, we will cover the following topics:

  • SciPy
  • Statistics
  • Probabilities
  • Hypothesis testing
  • Performing statistical tests
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