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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/** | |
* The first commented line is your dabblet’s title | |
*/ | |
background: #f06; | |
background: linear-gradient(45deg, #f06, yellow); | |
min-height: 100%; |
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{ | |
"metadata": { | |
"name": "knowledge.scipy.integrate.benchmark" | |
}, | |
"nbformat": 3, | |
"nbformat_minor": 0, | |
"worksheets": [ | |
{ | |
"cells": [ | |
{ |
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# Configuration file for ipython-notebook. | |
c = get_config() | |
#------------------------------------------------------------------------------ | |
# NotebookApp configuration | |
#------------------------------------------------------------------------------ | |
# NotebookApp will inherit config from: BaseIPythonApplication, Application |
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# Configuration file for ipython-notebook. | |
c = get_config() | |
#------------------------------------------------------------------------------ | |
# NotebookApp configuration | |
#------------------------------------------------------------------------------ | |
# NotebookApp will inherit config from: BaseIPythonApplication, Application |
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#! /bin/bash | |
sudo add-apt-repository -y ppa:kermit666/ppa | |
sudo apt-get update | |
sudo apt-get -y install popcorn | |
. ~/.config/user-dirs.dirs | |
cp /usr/share/applications/popcorn.desktop "$XDG_DESKTOP_DIR/popcorn.desktop" | |
chmod +x "$XDG_DESKTOP_DIR/popcorn.desktop" |
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