PyCharm¶
Optional
Everything in Installation works from a terminal. This page is only for driving the same environment from PyCharm.
| Last validated | not yet — see the checklist below |
| Validated by | — |
| PyCharm edition / version | — |
1. Add the environment as an interpreter¶
Settings → Project → Python Interpreter → Add Interpreter → Add Local
Interpreter → Conda Environment → Use existing environment → rlbootcamp.
If PyCharm cannot find conda, point it at the executable directly:
~/miniforge3/bin/conda, or ...\miniforge3\Scripts\conda.exe on Windows.
Screenshot to be added — task A6.
2. Point notebooks at it¶
PyCharm's notebook support uses the project interpreter by default. Open any
.ipynb and check the kernel selector in the toolbar reads rlbootcamp.
Screenshot to be added — task A6.
3. Confirm¶
In a notebook cell:
The path must contain rlbootcamp. See
notebook kernel troubleshooting.
Fallback
If PyCharm's notebook support fights you, run jupyter lab from a terminal
with the environment active and use the browser. Nothing in the bootcamp
depends on the IDE.
Validation checklist¶
Task A6 on the volunteer board.
- Steps above are accurate for the current PyCharm release
- Screenshots for the interpreter dialog and the kernel selector
- One PyCharm user has followed this page start to finish