diff --git a/tests/template_ref/00_notebook_tour_orig.html b/tests/template_ref/00_notebook_tour_orig.html index e8a68aa..945f952 100644 --- a/tests/template_ref/00_notebook_tour_orig.html +++ b/tests/template_ref/00_notebook_tour_orig.html @@ -1058,19 +1058,6 @@ p{margin-bottom:0;} - + + + diff --git a/tests/template_ref/IntroNumPy_orig.html b/tests/template_ref/IntroNumPy_orig.html index 14139b8..a796d62 100644 --- a/tests/template_ref/IntroNumPy_orig.html +++ b/tests/template_ref/IntroNumPy_orig.html @@ -1058,19 +1058,6 @@ p{margin-bottom:0;} - + + + @@ -30058,4 +30057,4 @@ Wall time: 0.34 s.
Finally, as we said earlier, IPython also has a high-level and easy to use set of libraries for parallel computing, that let you control (interactively if desired) not just one IPython but an entire cluster of 'IPython engines'. Unfortunately a detailed discussion of these tools is beyond the scope of this text, but should you need to parallelize your analysis codes, a quick read of the tutorials and examples provided at the IPython site may prove fruitful.