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ccopy_reg
_reconstructor
p0
(cpandas.core.series
Series
p1
c__builtin__
object
p2
Ntp3
diff --git a/Gruntfile.js b/Gruntfile.js
index b26f39a..0813089 100644
--- a/Gruntfile.js
+++ b/Gruntfile.js
@@ -56,7 +56,7 @@ module.exports = function (grunt) {
livereload: '<%= connect.options.livereload %>'
},
files: [
- '<%= yeoman.app %>/{,*/}*.html',
+ '<%= yeoman.app %>/{**/}*.html',
@metakermit
metakermit / dabblet.css
Created November 29, 2012 20:20
The first commented line is your dabblet’s title
/**
* The first commented line is your dabblet’s title
*/
background: #f06;
background: linear-gradient(45deg, #f06, yellow);
min-height: 100%;
{
"metadata": {
"name": "knowledge.scipy.integrate.benchmark"
},
"nbformat": 3,
"nbformat_minor": 0,
"worksheets": [
{
"cells": [
{
@metakermit
metakermit / scipy-gsoc.md
Last active December 17, 2015 01:10
Dražen's GSoC 2013 SciPy proposal

SciPy: Improving Numerical Integration of Time Series

The goal of this project is to implement better interoperation between scipy.integrate and pandas.TimeSeries. Currently, time-stamped arrays have to be converted to an integer-based domain (which incurs a computational overhead) in order for numeric integration to work. The aim is to improve this by adding runtime TimeSeries detection and calculation of numerical integrals (e.g. the trapezoidal rule) without any domain transformations by

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# Configuration file for ipython-notebook.
c = get_config()
#------------------------------------------------------------------------------
# NotebookApp configuration
#------------------------------------------------------------------------------
# NotebookApp will inherit config from: BaseIPythonApplication, Application
# Configuration file for ipython-notebook.
c = get_config()
#------------------------------------------------------------------------------
# NotebookApp configuration
#------------------------------------------------------------------------------
# NotebookApp will inherit config from: BaseIPythonApplication, Application
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