A better, more modern, answer to this question is to use the
%pip magic, like:
%pip install scipy
That will automatically use the correct Python version. Using
!pip might be tied to a different version of Python, and then you might not find the package after installing it.
And in colab, the magic gives a nice message and button if it detects that you need to restart the runtime if pip updated a packaging you have already imported.
BTW, there is also a
%conda magic for doing the same with conda.
lets say you want to install scipy,
Here is the code to install it
!pip install scipy
You can use
!setup.py install to do that.
Colab is just like a Jupyter notebook. Therefore, we can use the
! operator here to install any package in Colab. What
! actually does is, it tells the notebook cell that this line is not a Python code, its a command line script. So, to run any command line script in Colab, just add a
! preceding the line.
!pip install tensorflow. This will treat that line (here
pip install tensorflow) as a command prompt line and not some Python code. However, if you do this without adding the
! preceding the line, it'll throw up an error saying "invalid syntax".
But keep in mind that you'll have to upload the
setup.py file to your drive before doing this (preferably into the same folder where your notebook is).
Hope this answers your question :)
Joining the party late, but just as a complement, I ran into some problems with Seaborn not so long ago, because CoLab installed a version with !pip that wasn't updated. In my specific case, I couldn't use Scatterplot, for example. The answer to this is below:
To install the module, all you need is:
!pip install seaborn
To upgrade it to the most updated version:
!pip install --upgrade seaborn
If you want to install a specific version
!pip install seaborn==0.9.0
I believe all the rules common to pip apply normally, so that pretty much should work.