PyMC - Revision history

Admin: /* Resources */

2017-11-06T11:05:54Z

Resources

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	Github: PyMC3 repository		Github: PyMC3 repository
	* https://github.com/pymc-devs/pymc3		* https://github.com/pymc-devs/pymc3
			* Official documentation: http://docs.pymc.io/

	Book: Bayesian Methods for Hackers by Cam Davidson		Book: Bayesian Methods for Hackers by Cam Davidson

Admin: /* Quick Start */

2017-11-05T23:54:20Z

Quick Start

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 PyMC3 is the newest and preferred version of the software.
 =Quick Start=
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 </pre>
 =Resources=

Admin: /* Resources */

2017-11-05T23:42:24Z

Resources

← Older revision		Revision as of 23:42, 5 November 2017
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	=Resources=		=Resources=

	~~PyMC3 on~~ Github: https://github.com/pymc-devs/pymc3		Github: PyMC3 repository
			* https://github.com/pymc-devs/pymc3

	Bayesian Methods for Hackers: https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers		Book: Bayesian Methods for Hackers by Cam Davidson
			* https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
	* Illustrates how to do Bayesian statistics using PyMC (the brute-force computational approach, rather than the math-heavy approach)		* Illustrates how to do Bayesian statistics using PyMC (the brute-force computational approach, rather than the math-heavy approach)

			Book: Doing Bayesian Data Analysis by John Kruschke
			* https://github.com/aloctavodia/Doing_bayesian_data_analysis
			* doingbayesiandataanalysis.blogspot.com.ar
			* Originally written for BUGS and R, ported to PyMC3

			iPython Notebook: Doing Bayesian Data Analysis
			* doingbayesiandataanalysis.blogspot.com.ar
			* author: https://github.com/hgbrian

	=Flags=		=Flags=

Admin: Created page with "Python package for performing Monte Carlo simulations. PyMC3 is the newest and preferred version of the software. =Quick Start= ==Importing Components== The quick start gu..."

2017-11-05T23:36:54Z

Created page with "Python package for performing Monte Carlo simulations. PyMC3 is the newest and preferred version of the software. =Quick Start= ==Importing Components== The quick start gu..."

New page

Python package for performing Monte Carlo simulations.

PyMC3 is the newest and preferred version of the software.

=Quick Start=

==Importing Components==

The quick start guide is here: http://docs.pymc.io/notebooks/api_quickstart.html

It starts by importing the necessary components:

<pre>
%matplotlib inline
import numpy as np
import theano.tensor as tt
import pymc3 as pm

import seaborn as sns
import matplotlib.pyplot as plt
sns.set_context('notebook')
</pre>

=Resources=

PyMC3 on Github: https://github.com/pymc-devs/pymc3

Bayesian Methods for Hackers: https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
* Illustrates how to do Bayesian statistics using PyMC (the brute-force computational approach, rather than the math-heavy approach)

=Flags=

[[Category:Monte Carlo]]
[[Category:Statistics]]
[[Category:Python]]
[[Category:Data Analysis]]