Difference between revisions of "INF-BIOX121 H14 RStudio IPython"

From projects/clsi
Jump to: navigation, search
Line 1: Line 1:
 
=== Using the IPython Notebook ===
 
=== Using the IPython Notebook ===
  
*login as usual, with X forwarding on the course server
+
*<div><u>note to Windows users</u>: your best option is to click the 'penguin' icon on the desktop and turn your PC into a Linux machine - then follow the instructions for Linux<br/></div>
 +
*<div><span style="font-size: 12px;">login as usual, with X forwarding on the course server</span></div>
 
*start a so-called virtual Python environment (virtualenv):
 
*start a so-called virtual Python environment (virtualenv):
 
<pre>source /opt/ipytest/bin/activate</pre>
 
<pre>source /opt/ipytest/bin/activate</pre>
Line 10: Line 11:
 
*'''Linux'''
 
*'''Linux'''
 
**the notebook should start now
 
**the notebook should start now
 +
**if it doesn't, cancel, close your browser and try again
 
*'''Mac'''
 
*'''Mac'''
 
**check where it says "The IPython Notebook is running at: [http://127.0.0.1:8888/ http://127.0.0.1:8888/]" and note the last four digits ('8888' in this case)
 
**check where it says "The IPython Notebook is running at: [http://127.0.0.1:8888/ http://127.0.0.1:8888/]" and note the last four digits ('8888' in this case)
Line 15: Line 17:
 
<pre>ssh -L 30000:127.0.0.1:8888 username@bioinfcourse.hpc.uio.no</pre>
 
<pre>ssh -L 30000:127.0.0.1:8888 username@bioinfcourse.hpc.uio.no</pre>
 
*'''<span style="font-size: 12px;">​Windows</span>'''
 
*'''<span style="font-size: 12px;">​Windows</span>'''
**see [http://howto.ccs.neu.edu/howto/windows/ssh-port-tunneling-with-putty/ http://howto.ccs.neu.edu/howto/windows/ssh-port-tunneling-with-putty/] on how to set up your tunnel
+
**<span style="font-size: 12px;">see </span>[http://howto.ccs.neu.edu/howto/windows/ssh-port-tunneling-with-putty/ http://howto.ccs.neu.edu/howto/windows/ssh-port-tunneling-with-putty/]<span style="font-size: 12px;">on how to set up your tunnel</span>
 
**source port: 30000
 
**source port: 30000
 
**destination: [http://127.0.0.1:8888 http://127.0.0.1:8888] (use those same four digits as you noted down above)
 
**destination: [http://127.0.0.1:8888 http://127.0.0.1:8888] (use those same four digits as you noted down above)
Line 23: Line 25:
 
**point the browser to 127.0.0.1:30000
 
**point the browser to 127.0.0.1:30000
 
<div><br/></div>
 
<div><br/></div>
 
 
=== Using Rstudio ===
 
=== Using Rstudio ===
 
<div><br/></div>
 
<div><br/></div>

Revision as of 12:52, 10 October 2014

Using the IPython Notebook

  • note to Windows users: your best option is to click the 'penguin' icon on the desktop and turn your PC into a Linux machine - then follow the instructions for Linux
  • login as usual, with X forwarding on the course server
  • start a so-called virtual Python environment (virtualenv):
source /opt/ipytest/bin/activate
  • this changes your promt, don't worry.
  • move (cd) to a folder if needed, for example where the data is you want to analyse
  • launch iPython notebook
ipython notebook
  • Linux
    • the notebook should start now
    • if it doesn't, cancel, close your browser and try again
  • Mac
    • check where it says "The IPython Notebook is running at: http://127.0.0.1:8888/" and note the last four digits ('8888' in this case)
    • start another terminal session and you create a so-called SSH tunnel, make sure to use the same four digits in the middle
ssh -L 30000:127.0.0.1:8888 username@bioinfcourse.hpc.uio.no
  • All
    • on the classroom PC, open a webbrowser (e.g. firefox)
    • point the browser to 127.0.0.1:30000

Using Rstudio


  • Linux or Mac
    • open a terminal and write
ssh -L 20000:localhost:8787 username@bioinfcourse.hpc.uio.no
    • the port number on the left (20000) is an example. Choose any large port number > 20000
    • the one on the right should *always* be 8787
    • Once you type the above command, login with your SSH username and password, like you normally do.  
  • ​Windows
  • All
    • on the classroom PC, open a webbrowser (e.g. firefox)
    • point the browser to localhost:20000 to access the RStudio server login screen
    • you can then type your username and password to login and access your R environment from your web browser