Enhancement (of new feature): JupyterLab docker image and documentation for manim and IPython

docker/Dockerfile.jupyter

@@ -0,0 +1,6 @@
+FROM manimcommunity/manim:latest
+
+RUN pip install jupyterlab
+
+EXPOSE 8888
+CMD [ "jupyter", "lab", "--allow-root", "--ip=0.0.0.0" ]

docker/readme.md

@@ -35,6 +35,15 @@ Then, to render a scene `CircleToSquare` in a file `test_scenes.py`, call
 $ docker exec -it --user="$(id -u):$(id -g)" my-manim-container manim test.py CircleToSquare -qm
 ```
 
+## Jupyterlab
+Another alternative is to use the `manimcommunity/manim:jupyterlab` image, which spins up a local webserver running
+JupyterLab in whose Python kernel manim is installed and can be accessed via the `%%manim` cell magic. To use this container,
+run
+```
+$ docker run -it -p 8888:88888 manimcommunity/manim:jupyterlab
+```
+and then follow the instructions in the terminal.
+
 # Important notes
 When executing `manim` within a Docker container, several command line flags (in particular `-p` (preview file) and `-f` (show output file in the file browser)) are not supported.
 

manim/__init__.py

@@ -1,5 +1,13 @@
 #!/usr/bin/env python
 
+try:
+    import importlib.metadata as importlib_metadata
+except ModuleNotFoundError:
+    import importlib_metadata
+
+__version__ = importlib_metadata.version(__name__)
+
+
 # Importing the config module should be the first thing we do, since other
 # modules depend on the global config dict for initialization.
 from ._config import *
@@ -100,10 +108,3 @@
         ipy.register_magics(ManimMagic)
 
 from .plugins import *
-
-try:
-    import importlib.metadata as importlib_metadata
-except ModuleNotFoundError:
-    import importlib_metadata
-
-__version__ = importlib_metadata.version(__name__)