Session 4: data analysis in IPython NotebookΒΆ
Copy rsem-final
out of the biology bootcamp shared directory
into your home directory (‘Home’).
At the command line, now do
cd ~/rsem-final && ipython notebook --pylab=inline
We’ll work through a new notebook first, and then go through ‘rsem-ebseq’.
Additional IPython resources:
- The ipynb site: http://ipython.org/notebook.html
- A gallery of interesting notebooks: https://github.com/ipython/ipython/wiki/A-gallery-of-interesting-IPython-Notebooks
- The matplotlib gallery: http://matplotlib.org/gallery.html
Note that you can use ‘%loadpy’ in IPython Notebook to grab code from online and import it into your notebook automagically.