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Day eight : 19 April 2013
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Introduction
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Testing, working with the console and your text editor.

Automatic finding of bad volumes

Slice time interpolation

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The script files
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* `awesome.py
  <https://raw.github.com/practical-neuroimaging/pna-notebooks/master/awesome.py>`_
* `test_awesome_more.py
  <https://raw.github.com/practical-neuroimaging/pna-notebooks/master/test_awesome_more.py>`_

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Loading notebooks
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* `Outlier detection, raw
  <https://raw.github.com/practical-neuroimaging/pna-notebooks/master/outlier_detect.ipynb>`_
  notebook file for downloading.
* `Outlier detection timing web
  <http://nbviewer.ipython.org/urls/raw.github.com/practical-neuroimaging/pna-notebooks/master/outlier_detect.ipynb>`_
  notebook presented nicely as a web page.
* `Slice timing intro, raw
  <https://raw.github.com/practical-neuroimaging/pna-notebooks/master/slice_timing.ipynb>`_
  notebook file for downloading.
* `Slice timing web
  <http://nbviewer.ipython.org/urls/raw.github.com/practical-neuroimaging/pna-notebooks/master/slice_timing.ipynb>`_
  notebook presented nicely as a web page.

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Homework
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* `Find my slice times, raw
  <https://raw.github.com/practical-neuroimaging/pna-notebooks/master/what_are_my_times.ipynb>`_
  notebook file for downloading.
* `Find my slice times, web
  <http://nbviewer.ipython.org/urls/raw.github.com/practical-neuroimaging/pna-notebooks/master/what_are_my_times.ipynb>`_
  notebook presented nicely as a web page.