title: Is there a specific way to install python packages on pods?
body: <p>Some background: I have set up Airflow on Kubernetes (on AWS). I am able to run DAGs that query a database, send emails or do anything that doesn't require a package that isn't already a part of Airflow. For example, if I try to run a DAG that uses the Facebook-business SDK the DAG will obviously break because the dependency isn't available. I've tried a couple different ways of trying to get this dependency, along with others, installed but haven't been successful. </p>
  
  <p>I have tried to install python packages by modifying my scheduler and webserver deployments to do a pip install of my dependencies as part of an initContainer. When I do this, the DAG remains broken as it is unable to find the needed packages. When I open a shell to my pod I can see that the dependencies have not been installed (I check using <code>pip list</code>). I have also verified that there aren't other python/pip versions installed. </p>
  
  <p>I have also tried to install the dependencies by running a pip install when I open a shell to my pod. This way is successful in installing the dependency in the correct place and also makes it available. However, instead of the webserver UI showing that my DAG is broken, I get the <code>this dag isn't available in the webserver dagbag object</code> message. </p>
  
  <p>I would expect that running <code>pip install</code> as part of my initContainer or container would makes these dependencies available in my pod. However, this isn't the case. It's as if pip install runs without any issues, but by the time my pods are fully set up the python packages are nowhere to be found</p>
  
  <p><strong>I forgot to say that I have found a way to make it work, but it feels somewhat hacky and like there should be a better way</strong>
  - If I open a shell to my webserver container and install the needed dependencies and then open a shell to my scheduler and do the same thing, the dependencies are found and the DAG works. </p>