Console. Django Console and manage.py options

Environment variables

This field shows the list of environment variables. If the list contains several variables, they are delimited with semicolons.

To fill in the list, click the browse button, or press Shift+Enter and specify the desired set of environment variables in the Environment Variables dialog.

To create a new variable, click , and type the desired name and value.

You might want to populate the list with the variables stored as a series of records in a text file, for example:

Variable1 = Value1
Variable2 = Value2

Just copy the list of variables from the text file and click Paste () in the Environmental Variables dialog. The variables will be added to the table. Click Ok to complete the task. At any time, you can select all variables in the Environment Variables dialog, click Copy , and paste them into a text file.

Python Interpreter

Select one of the pre-configured Python interpreters from the list.

Interpreter options

In this field, specify the string to be passed to the interpreter. If necessary, click Enter, and type the string in the editor.

Working directory

Specify a directory to be used by the running console. When this field is left blank, the project directory will be used.

Configure interpreters

If the desired interpreter is missing in the list, click this link to open the Python Interpreters page, and configure an interpreter or virtual environment , as described in the section Configuring Python SDK.

Add content roots to PYTHONPATH

Select this checkbox to have the content roots added to the PYTHONPATH.

Add source roots to PYTHONPATH

Select this checkbox to have the source roots added to the PYTHONPATH.

Starting script

In this editor area, type the script to be executed in the console after its start-up and initialization. Note that syntax highlighting, code completion, import assistance, documentation, inspections and quick fixes are available in this editor:

By default, this area contains the following script, which causes printing out a header information and extending the system paths:

import sys; print('Python %s on %s' % (sys.version, sys.platform))
sys.path.extend([WORKING_DIR_AND_PYTHON_PATHS])

The WORKING_DIR_AND_PYTHON_PATHS variable is hardcoded in PyCharm. It displays two paths: the project root and the working directory. The project root is the top-level directory of your project. The working directory may coincidence with the project root if not explicitly defined in the Working directory field.

If you want to omit such a printout, delete this script.