Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789531701
Length 178 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Alvaro Fuentes Alvaro Fuentes
Author Profile Icon Alvaro Fuentes
Alvaro Fuentes
Arrow right icon
View More author details
Toc

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
lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at £16.99/month. Cancel anytime