This article is now published on my website: Prefer Subshells for Context.
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""" | |
(C) Mathieu Blondel - 2010 | |
License: BSD 3 clause | |
Implementation of the collapsed Gibbs sampler for | |
Latent Dirichlet Allocation, as described in | |
Finding scientifc topics (Griffiths and Steyvers) | |
""" |
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<?php | |
$auth_url = "http://search.isiknowledge.com/esti/wokmws/ws/WOKMWSAuthenticate?wsdl"; | |
$auth_client = @new SoapClient($auth_url); | |
$auth_response = $auth_client->authenticate(); | |
$search_url = "http://search.isiknowledge.com/esti/wokmws/ws/WokSearchLite?wsdl"; | |
$search_client = @new SoapClient($search_url); | |
$search_client->__setCookie('SID',$auth_response->return); | |
$search_array = array( |
A personal diary of DataFrame munging over the years.
Convert Series datatype to numeric (will error if column has non-numeric values)
(h/t @makmanalp)
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import copy | |
import networkx | |
import matplotlib.pyplot as plt | |
# Generate a graph. | |
# Here I chose an ER graph. | |
g = nx.erdos_renyi_graph(20, 0.3) | |
# Get positions. | |
# Here I use the spectral layout and add a little bit of noise. |
Author: Fernando Pérez.
A demonstration of how to use Python, Julia, Fortran and R cooperatively to analyze data, in the same process.
This is supported by the IPython kernel and a few extensions that take advantage of IPython's magic system to provide low-level integration between Python and other languages.
See the companion notebook for data preparation and setup.