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Sterling G. Baird sgbaird

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sgbaird / count-lines-of-code.ipynb
Last active August 29, 2023 19:00
Count the number of lines of code using cloc and Google Colab (https://github.com/AlDanial/cloc). This is useful when you surpass the 500 MB limit of https://codetabs.com/count-loc/count-loc-online.html.
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@sgbaird
sgbaird / ax-service-api.ipynb
Last active April 29, 2024 14:29
ax-service-api.ipynb
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sgbaird / ax-pytest-plugin-debugger.ipynb
Created August 14, 2023 19:14
ax-pytest-plugin-debugger.ipynb
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@sgbaird
sgbaird / numpy-examples.mustache
Last active August 14, 2023 11:24
Custom Numpy autoDocstring (https://marketplace.visualstudio.com/items?itemName=njpwerner.autodocstring) template in VS Code with examples block. Based on https://github.com/NilsJPWerner/autoDocstring/blob/HEAD/docs/numpy.md.
{{! Numpy Docstring Template }}
{{summaryPlaceholder}}
{{extendedSummaryPlaceholder}}
{{#parametersExist}}
Parameters
----------
{{#args}}
{{var}} : {{typePlaceholder}}
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sgbaird / rst-to-myst.ipynb
Last active August 28, 2023 15:00
rst-to-myst.ipynb
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sgbaird / gentle-intro-to-unit-tests.ipynb
Last active August 22, 2023 16:19
gentle-intro-to-unit-tests.ipynb
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sgbaird / ordinal_example.py
Created December 8, 2021 23:23
Create some dummy data and generate ordinal encodings and parameters/constraints according to the Ax (adaptive design) framework.
"""Create some dummy data and generate ordinal encodings and parameters/constraints."""
import numpy as np
import pandas as pd
# %% data and choices
data = [["A", "B", "C"], ["D", "C", "A"], ["C", "A", "B"], ["C", "B", "A"]]
choices = list(np.unique(np.array(data).flatten()))
n_choices = len(choices)
# %% ordinal encoding
@sgbaird
sgbaird / History\-10222c04\entries.json
Last active June 21, 2022 04:00
Visual Studio Code Settings Sync Gist
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