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Jonathan Sedar jonsedar

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@huyng
huyng / matplotlibrc
Created February 8, 2011 15:50
my default matplotlib settings
### MATPLOTLIBRC FORMAT
# This is a sample matplotlib configuration file - you can find a copy
# of it on your system in
# site-packages/matplotlib/mpl-data/matplotlibrc. If you edit it
# there, please note that it will be overridden in your next install.
# If you want to keep a permanent local copy that will not be
# over-written, place it in HOME/.matplotlib/matplotlibrc (unix/linux
# like systems) and C:\Documents and Settings\yourname\.matplotlib
# (win32 systems).
@kevinushey
kevinushey / pymat.R
Last active December 15, 2015 12:19
Python style formatting of strings
pymat <- function(string, ...) {
i <- 0
for( arg in list(...) ) {
to_replace <- paste( sep='', "\\{", i, "\\}" )
string <- gsub( to_replace, arg, string )
i <- i + 1
}
return( string )
}
@matthiaseisen
matthiaseisen / contact.html
Last active December 17, 2015 18:59
You are probably already familiar with the possibility of hosting static website on Amazon S3. If you're not you should read this great tutorial by Chad Thompson: http://chadthompson.me/2013/05/06/static-web-hosting-with-amazon-s3/. One common problem is that while being static your website still needs a contact form. Here's a solution for this …
<!-- You are probably already familiar with the possibility of hosting static websites on Amazon S3.
If not you should read this great tutorial by Chad Thompson: http://chadthompson.me/2013/05/06/static-web-hosting-with-amazon-s3/.
One common problem is that while being static your website still needs a contact form.
Here's a solution for this problem using Newman API (http://www.newmanapi.com). -->
<html>
<body>
<!-- First we set the 'action' attribute of <form> to point to Newman API -->
<form method="post" action="http://submit.newmanapi.com/" >
<!-- Now we create our input elements as we would in any other form -->
@junpenglao
junpenglao / Bayesian_Mixture_PyMC3.ipynb
Last active July 16, 2022 20:57
Identifying Bayesian Mixture Models in PyMC3 (port of Stan case study http://mc-stan.org/users/documentation/case-studies/identifying_mixture_models.html)
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@AustinRochford
AustinRochford / revisit_bayes_survival.ipynb
Last active July 26, 2024 12:53
Revisiting Bayesian Survival Analysis in Python with PyMC
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