Skip to content

PacktPublishing/Bayesian-Analysis-with-Python

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

22 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Bayesian Analysis with Python

This is the code repository for Bayesian Analysis with Python, published by Packt. It contains all the supporting project files necessary to work through the book from start to finish.

Please follow this link for an updated version of the code that have been tested to run with the last version of PyMC3.

Instructions and Navigations

All of the code is organized into folders. Each folder starts with a number followed by the chapter name.

This book is written for Python version >= 3.5, and it is recommended that you use the most recent version of Python 3 that is currently available, although most of the code examples may also run for older versions of Python, including Python 2.7 with minor adjustments.

Maybe the easiest way to install Python and Python libraries is using Anaconda, a scientific computing distribution. You can read more about Anaconda and download it here. Once Anaconda is in our system, we can install new Python packages with this command:

conda install NamePackage

We will use the following python packages:

  • Ipython 5.0
  • NumPy 1.11.1
  • SciPy 0.18.1
  • Pandas 0.18.1
  • Matplotlib 1.5.3
  • Seaborn 0.7.1
  • PyMC3 3.0

Errata

If you find an error in the book please fill an issue or send a PR here

Download a free PDF

If you have already purchased a print or Kindle version of this book, you can get a DRM-free PDF version at no cost.
Simply click on the link to claim your free PDF.

https://packt.link/free-ebook/9781785883804

About

Bayesian Analysis with Python by Packt

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 3

  •  
  •  
  •  
pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy