To improve our users’ experience with TeamViewer, we always strive for maximum compatibility with as many devices as possible – enabling you to work seamlessly, irrespective of their brand. Let’s have a look at how we enhanced remote printing in TeamViewer 13 to add more simplicity to your life. The remote printing workflow really cuts to the chase, however: When it’s time to print the document, just select the remote printer, press print and … that’s it! No transferring hassles, no multiple versions.
.jpg "cplot remote printing")
If you’d like to print it again at a later point in time, his might leave you wondering, if the local copy is the most up to date version. Another troublesome side effect is that this creates multiple versions of the same file. If it wasn’t for remote printing, you’d be forced to go through the cumbersome process of first transferring your documents locally and then opening them up on the local device again, before printing them. Because ultimately, that’s what remote printing is all about, right? Simplicity is actually a perfect cue to proceed with the enhancements I promised. The ability to print remotely can come in handy in many situations, for example when you’re collaborating with colleagues in another location, or telecommuting.Īnd since remote printing with TeamViewer is pretty straightforward, you can just stick to your usual workflow and select the remote printer in the printing dialogue after you went through our simple setup process for remote printing. Now, the notebook in the remote machine can be used through the browser and plot can be generated using the data in the remote machine.Live and in color: Remote printing is now possible with HP printers and on macOS! In this example, the port number is 8080.Ĭopy and paste the URL in the step 3 to a browser in your local machine (B).
Now open another terminal in the local machine (B) and connect to the remote machine (A) using ssh: ssh -N -L 8080:localhost:8080 port number has to be same in step 2 and step 3. Jupyter notebook -no-browser -port=8080Īfter this command, a URL will be given something similar to below: Run Jupyter with no browser from the code directory in the remote machine (A): cd PATH/TO/THE/CODE
CPLOT REMOTE PRINTING INSTALL
Update matplotlib: pip install -user -U matplotlib Step 1: Install IPython and Jupyter in the remote machine (A) locally (assuming no root privilege) using the following commands: pip install -user ipython I have used IPython to solve the related problem. Other useful troubleshooting tips on using ssh -X : Make sure you call e BEFORE importing anything else from matplotlib (e.g. > e('GTKAgg') #I had to use GTKAgg for this to work, GTK threw errors Then from your local machine, use ssh -X to remote into remote machine A: ssh -X on the remote machine: python If it's not set, make sure you've logged in/out since installing X11 from XQuartz. It should open up X11 window.Īt this point your $DISPLAY variable should also be set correctly. Then logout and log back in to your mac.Īfter you log back in, try to run xterm command again. If it says command not found, then go to and install X11 server. If an X11 window opens up, you're all set. Check if you have X11 by opening up Mac terminal, and run command xterm.
CPLOT REMOTE PRINTING MAC OSX
If you're running a recent version of Mac OSX (OS X Mountain Lion or newer), it would NOT have come with X11 pre-installed (see ). You need X11 server installed on your local machine to do this.
CPLOT REMOTE PRINTING MAC OS X
The following worked for me using Mac OS X on the local machine (machine B) and ubuntu on the remote (machine A).
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