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WIP: adding future notebook ideas
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‎notebooks/y_exercise_example.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Two ideas on how to hide solutions"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Idea 1: Hide answer in base64"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 30,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"data": {
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"text/plain": [
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"'JXB5bGFiIGlubGluZQpmcm9tIG9zLnBhdGggaW1wb3J0IGpvaW4gYXMgb3BqCmZyb20gbmlweXBlLmludGVyZmFjZXMuZnNsIGltcG9ydCBNQ0ZMSVJULCBGTElSVApmcm9tIG5pcHlwZS5pbnRlcmZhY2VzLmFmbmkgaW1wb3J0IFJlc2FtcGxlCmZyb20gbmlweXBlLmludGVyZmFjZXMuc3BtIGltcG9ydCBTbW9vdGgKZnJvbSBuaXB5cGUuaW50ZXJmYWNlcy51dGlsaXR5IGltcG9ydCBJZGVudGl0eUludGVyZmFjZQpmcm9tIG5pcHlwZS5pbnRlcmZhY2VzLmlvIGltcG9ydCBTZWxlY3RGaWxlcywgRGF0YVNpbmsKZnJvbSBuaXB5cGUucGlwZWxpbmUuZW5naW5lIGltcG9ydCBXb3JrZmxvdywgTm9kZQ=='"
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]
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},
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"execution_count": 30,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"import base64\n",
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"base64.b64encode(\"\"\"%pylab inline\n",
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"from os.path import join as opj\n",
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"from nipype.interfaces.fsl import MCFLIRT, FLIRT\n",
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"from nipype.interfaces.afni import Resample\n",
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"from nipype.interfaces.spm import Smooth\n",
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"from nipype.interfaces.utility import IdentityInterface\n",
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"from nipype.interfaces.io import SelectFiles, DataSink\n",
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"from nipype.pipeline.engine import Workflow, Node\"\"\")"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 31,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"%pylab inline\n",
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"from os.path import join as opj\n",
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"from nipype.interfaces.fsl import MCFLIRT, FLIRT\n",
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"from nipype.interfaces.afni import Resample\n",
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"from nipype.interfaces.spm import Smooth\n",
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"from nipype.interfaces.utility import IdentityInterface\n",
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"from nipype.interfaces.io import SelectFiles, DataSink\n",
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"from nipype.pipeline.engine import Workflow, Node\n"
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]
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}
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],
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"source": [
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"print base64.b64decode('JXB5bGFiIGlubGluZQpmcm9tIG9zLnBhdGggaW1wb3J0IGpvaW4gYXMgb3BqCmZyb20gbmlweXBlLmludGVyZmFjZXMuZnNsIGltcG9ydCBNQ0ZMSVJULCBGTElSVApmcm9tIG5pcHlwZS5pbnRlcmZhY2VzLmFmbmkgaW1wb3J0IFJlc2FtcGxlCmZyb20gbmlweXBlLmludGVyZmFjZXMuc3BtIGltcG9ydCBTbW9vdGgKZnJvbSBuaXB5cGUuaW50ZXJmYWNlcy51dGlsaXR5IGltcG9ydCBJZGVudGl0eUludGVyZmFjZQpmcm9tIG5pcHlwZS5pbnRlcmZhY2VzLmlvIGltcG9ydCBTZWxlY3RGaWxlcywgRGF0YVNpbmsKZnJvbSBuaXB5cGUucGlwZWxpbmUuZW5naW5lIGltcG9ydCBXb3JrZmxvdywgTm9kZQ==')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## Idea 2: Hide answer in file"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 39,
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"metadata": {
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"collapsed": false
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Writing answer01.py\n"
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]
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}
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],
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"source": [
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"%%file answer01.py\n",
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"%pylab inline\n",
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"from os.path import join as opj\n",
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"from nipype.interfaces.fsl import MCFLIRT, FLIRT\n",
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"from nipype.interfaces.afni import Resample\n",
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"from nipype.interfaces.spm import Smooth\n",
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"from nipype.interfaces.utility import IdentityInterface\n",
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"from nipype.interfaces.io import SelectFiles, DataSink\n",
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"from nipype.pipeline.engine import Workflow, Node"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": false
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},
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"outputs": [],
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"source": [
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"%load answer01.py"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python [default]",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.13"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎notebooks/z_advanced_caching.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"http://nipype.readthedocs.io/en/latest/users/caching_tutorial.html"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},

‎notebooks/z_advanced_commandline.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"collapsed": true
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},
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"source": [
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"http://nipype.readthedocs.io/en/latest/users/cli.html"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"collapsed": true
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},
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"source": [
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"http://nipype.readthedocs.io/en/latest/users/nipypecmd.html"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,

‎notebooks/z_advanced_databases.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"https://github.com/nipy/nipype/blob/master/examples/fmri_ants_openfmri.py"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},

‎notebooks/z_advanced_debug.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"http://nipype.readthedocs.io/en/latest/users/debug.html"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python [default]",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.13"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎notebooks/z_advanced_export_workflow.ipynb

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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"http://nipype.readthedocs.io/en/latest/users/saving_workflows.html"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python [default]",
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"language": "python",
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 2
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython2",
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"version": "2.7.13"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}

‎notebooks/z_resources_faq.ipynb renamed to ‎notebooks/z_development_wrap_your_interface.ipynb

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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {
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"collapsed": true
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},
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"metadata": {},
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"source": [
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"# Frequently Asked Questions\n",
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"\n",
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"This section will cover all FAQ around Nipype. For questions about neuroimaging in general, see the [FAQ on the Nipype Beginner's Guide](http://miykael.github.io/nipype-beginner-s-guide/faq.html)."
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"http://nipype.readthedocs.io/en/latest/devel/cmd_interface_devel.html"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## How cool is Nipype?\n",
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"\n",
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"Nipype is really really cool!"
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"http://nipype.readthedocs.io/en/latest/devel/matlab_interface_devel.html"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"http://nipype.readthedocs.io/en/latest/devel/python_interface_devel.html"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"anaconda-cloud": {},
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"kernelspec": {
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"display_name": "Python [conda root]",
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"display_name": "Python [default]",
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"language": "python",
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"name": "conda-root-py"
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"name": "python2"
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},
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"language_info": {
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"codemirror_mode": {
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}
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},
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"nbformat": 4,
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"nbformat_minor": 0
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"nbformat_minor": 2
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}

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