Skip to main content

How to: Move Window Close Minimize Maximize buttons to left in Gnome Shell or Ubuntu 12.04


1. Install dconf-editor (note NOT gconf-editor!)
    Open a terminal (ctrl-alt-t) then type: sudo apt-get install dconf-tools

2. Open dconf-editor
Open the dconf-editor (alt+f2) then type: dconf-editor

3. Navigate to org → gnome → shell → overrides → button-layout. Change it to close,minimize,maximize:
Before

4. Changes will be updated immediately
After


Thanks to jokerdino see http://askubuntu.com/a/113995
Labels:

Comments

  1. joelMay 17, 2012 at 3:04 PM

    Does KDE have something similiar?

    ReplyDelete
  2. jackSawMay 29, 2012 at 10:44 PM

    Did a fresh install of Ubuntu 12.04 yesterday. Used this tutorial with dconf and the shell entry was nonexistant. Had to install gconf and found it in /apps/metacity/general/button_layout. Thought this info would be useful for other users in my situation.

    ReplyDelete
  3. AnonymousOctober 5, 2012 at 3:50 AM

    THAX

    ReplyDelete
  4. RasmusNovember 12, 2012 at 4:16 AM

    Perfect! Thank you for the post!

    ReplyDelete

Post a Comment

Popular posts from this blog

Kivy vs React-Native for building cross platform mobile apps

I've built three apps now using Kivy and one with React-Native, just wanted to share my thoughts on both. Just a warning, I am strongly biased towards python and this is all based on opinion and experience and is thus worth what you pay for it. I don't claim to be an expert in either of these, just have worked with each for several months.  If something is incorrect I'd love to hear advice. Kivy Demo of one of the apps Pros: Nice to be able to run natively on the desktop WITHOUT a simulator Python is easy to work with Use (almost) any python library Very easy to create custom widgets Kivy properties and data binding just work. Way nicer than React's "state" / flux / redux whatever you want to call it (stupid?).  Native interfaces (pyjnius) and (pyobjc) Runs and feels pretty smooth Cons: Default widget toolkit looks like Android 4.4. Requiring you use your own widgets or a theming kit like KivyMD  if styling bothers you Creating dy
2 comments
Read more

Control Systems in Python - Part 2 - Routh Hurwitz

In my last post Control Systems in Python Part 1 , i described how to setup and use Python for doing some basic plotting of transfer functions. One of the biggest benefits of using sympy vs numeric packages like matlab/numpy/scipy is the fact that you can use symbolic variables. This post includes a function for computing the Routh Hurwitz table (Note: It does not work for row's of zeros). Lets do my control systems design homework problem together :) (Warning: I have not verified if this answer is right so please correct me if it’s not!) The Problem The problem is DP 9.11 from Dorf & Bishop’s Modern Control Systems. ISBN 0136024580. Basically we have to design a controller to compensate for a system with a time delay. The controller is: And the system is: First we approximate the exponential term with a 2nd order polynomial using pade(0.4,2) such that: Thus the approximated system is: Using frequency response methods, design the controller so that th
Post a Comment
Read more

Control Systems in Python - Part 1 - Bode and Step Response

I hate matlab with passion, yet sadly, nearly everyone uses it.  I'm a fan of Python and open source stuff so here's a simple article on how to do some common control systems stuff in Python. First we need to make sure the environment is setup. Install IPython (or you can use any other python shell, but a unicode supported shell is preferred) Install python-control (numpy, scipy) Install sympy These should do if your on Ubuntu/debian: sudo apt - get install python - sympy python-numpy python-scipy python-matplotlib ipython Then you need to install python control, see How to download and install python-control Intro to using Sympy Open ipython and run the following: import sympy from sympy import * sympy.init_printing() s = Symbol('s') Now we can do things like define transfer functions using the symbolic variable s. We can expand the bottom using the .simplify() method and we can do something more complex like... which is really nice because it
7 comments
Read more