diff --git a/docs/notebooks/README.md b/docs/notebooks/README.md
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-# Jupyter notebooks to run on-demand.
-
-Jupyter notebooks in this directory will be run each time you render your documentation.
-
-This means they should be able to be run with the resources in the repo, and in various environments:
-
-- any other developer's machine
-- github CI runners
-- ReadTheDocs doc generation
-
-This is great for notebooks that can run in a few minutes, on smaller datasets.
-
-If you would like to include these notebooks in automatically generated documentation
-simply add the notebook name to the ``../notebooks.rst`` file, and include a markdown
-cell at the beginning of your notebook with ``# Title`` that will be used as the text
-in the table of contents in the documentation.
-
-Be aware that you may also need to update the ``../requirements.txt`` file if
-your notebooks have dependencies that are not specified in ``../pyproject.toml``.
-
-For notebooks that require large datasets, access to third party APIs, large CPU or GPU requirements, put them in `./pre_executed` instead.
-
-For more information look here: https://lincc-ppt.readthedocs.io/en/latest/practices/sphinx.html#python-notebooks
-
-Or if you still have questions contact us: https://lincc-ppt.readthedocs.io/en/latest/source/contact.html
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diff --git a/docs/pre_executed/README.md b/docs/pre_executed/README.md
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-# Pre-executed Jupyter notebooks 
-
-Jupyter notebooks in this directory will NOT be run in the docs workflows, and will be rendered with 
-the provided output cells as-is.
-
-This is useful for notebooks that require large datasets, access to third party APIs, large CPU or GPU requirements.
-
-Where possible, instead write smaller notebooks that can be run as part of a github worker, and within the ReadTheDocs rendering process.
-
-To ensure that the notebooks are not run by the notebook conversion process, you can add the following metadata block to the notebook:
-
-```
-   "nbsphinx": {
-    "execute": "never"
-   },
-```
diff --git a/src/nested_pandas/example_benchmarks.py b/src/nested_pandas/example_benchmarks.py
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-"""An example module containing simplistic methods under benchmarking."""
-
-import random
-import time
-
-
-def runtime_computation() -> None:
-    """Runtime computation consuming between 0 and 5 seconds."""
-    time.sleep(random.uniform(0, 5))
-
-
-def memory_computation() -> list[int]:
-    """Memory computation for a random list up to 512 samples."""
-    return [0] * random.randint(0, 512)