You can create new projects and they will be stored at ~/PycharmProjects/ or add already existing pycharm projects to that folder and use them immediately.
After you launch PyCharm and configure it the configurations will be stored in ~/PycharmProjects/.PyCharm40/ for later use.
The image comes bundled with Python 2.7.9/3.4.3 and their respective pip package managers.
You can use the PyCharm built-in terminal view and use pip to install a new package.
If you are running with persistence a copy of the package installed will be kept on your host machine at ~/PycharmProjects/.Py_lib/ .
For example select the terminal from View|Tool Windows|Terminal (or press Alt+f12):
dev@e9513ef70396:/home/dev/PycharmProjects/untitled$ sudo pip install tornado [sudo] password for dev: #dev
for installing tornado.
You must add Python 2.7.9 and 3.4.3 to the list of available interpreters when PyCharm starts.<br>
From the Welcome page select Configure|Settings|Default Project|Project Interpreters and add the local interpreters Python2.7 and Python3.4.
If you are pulling this image from dockerhub then this step isn't required. If not, use the build.sh script.
I would suggest downloading the run_persistent.sh and run_standard.sh scripts from the source project page but if that isn't an option for some reason you can do this:
Contents of run_persistent.sh
To run in a persistent mode where settings, projects and libraries are stored use this script:
#!/bin/sh # Runs pycharm Community with the standard python libs. # Creates the directories needed to retain settings and projects and # python libraries in order for them to persist between sessions. set -xe USER=dev PROJECTS=~/PycharmProjects SETTINGS=$PROJECTS/.PyCharm40 PY_LIB=$PROJECTS/.Py_lib # Change image name to match the image built. IMAGE_NAME=dimitrisjim/pycharm_community # Create directories if they don't exist. if [ ! -d "$SETTINGS" ]; then mkdir -p $SETTINGS mkdir $SETTINGS/config $SETTINGS/system # Required in order for docker container to be able to write to host file system. chmod -R ug+rwx $SETTINGS/config $SETTINGS/system fi # Populate python 2.7.9 and 3.4.3 libraries in order to be able to mount # these directories to our container and make libraries installed persistent. if [ ! -d "$PY_LIB" ]; then mkdir -p $PY_LIB docker run -it -d --name "temp" $IMAGE_NAME docker cp temp:/usr/local/lib $PY_LIB/ docker rm -v temp chmod -R ug+rwx $PY_LIB/ fi # Accept all local hosts. xhost +local:* # Run docker and mount project, settings and library dirs. xhost - && docker run -ti --rm \ -e DISPLAY=$DISPLAY \ -v /tmp/.X11-unix:/tmp/.X11-unix:ro \ -v $PROJECTS:/home/$USER/PycharmProjects \ -v $SETTINGS:/home/$USER/.PyCharm40 \ -v $PY_LIB/lib:/usr/local/lib \ -u $USER \ $IMAGE_NAME
you can of course change this script to match what you want to retain.
Contents of run_standard.sh:
To run in a non persistent mode you can run this script:
#!/bin/sh # Runs pycharm Community without the standard python libs. set -xe USER=dev # Change image name to match the image built. IMAGE_NAME=dimitrisjim/pycharm_community # Accept all local hosts. xhost +local:* # Run docker container with no mounts. xhost - && docker run -ti --rm \ -e DISPLAY=$DISPLAY \ -v /tmp/.X11-unix:/tmp/.X11-unix:ro \ -u $USER \ $IMAGE_NAME
Nothing will be retained after the container is removed. Use this if you want to try PyCharm out.