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use (unreleased) Plotly v6.0.1
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‎_config.yml‎

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use_repository_button: true
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extra_navbar: ""
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home_page_in_navbar: false
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# https://github.com/plotly/plotly.py/issues/5012
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announcement: Charts are currently broken on this site. To view them, launch on {{coding_env_name}}.
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extra_footer: |
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<div>
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<a href="https://creativecommons.org/publicdomain/zero/1.0/">

‎extras/environment.yml‎

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- pip
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- pip:
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- gradescope_utils
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# Using v6 (newer than Colab) to avoid the need for the plugin in the base environment. Using (unreleased) v6.0.1 to avoid a bug in the HTML export.
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# https://github.com/plotly/plotly.js/blob/master/CHANGELOG.md#301----2025-02-18
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- git+https://github.com/plotly/plotly.py@v6.0.1
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# extensions
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- jupyter-resource-usage
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- html5lib=1.1
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- lxml
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- pandas=2.2.2
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# intentionally using newer version than Colab to avoid the need for the plugin in the base environment
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- plotly=6.*
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# see above
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# - plotly>=6.0.1
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- requests=2.32.3
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- statsmodels=0.14.4
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## supporting packages for notebooks ##

‎lecture_0.ipynb‎

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"<IPython.lib.display.IFrame at 0x1031c7f10>"
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"<IPython.lib.display.IFrame at 0x1044a5350>"
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},
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"execution_count": 1,

‎lecture_1.ipynb‎

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"/var/folders/kr/nx0m1j811kz5vy8c87ffchzr0000gn/T/ipykernel_94940/4056869583.py:1: DtypeWarning: Columns (8,20,31,34) have mixed types. Specify dtype option on import or set low_memory=False.\n",
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"/var/folders/kr/nx0m1j811kz5vy8c87ffchzr0000gn/T/ipykernel_96131/4056869583.py:1: DtypeWarning: Columns (8,20,31,34) have mixed types. Specify dtype option on import or set low_memory=False.\n",
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" requests = pd.read_csv(\n"
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}

‎lecture_1_exercise.ipynb‎

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"2025-02-24 23:27:49 URL:https://data.cityofnewyork.us/resource/m6nq-qud6.csv [136065] -> \"2021_yellow_taxi_trips.csv\" [1]\r\n"
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"2025-03-17 00:00:28 URL:https://data.cityofnewyork.us/resource/m6nq-qud6.csv [136065] -> \"2021_yellow_taxi_trips.csv\" [1]\r\n"
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"2021_yellow_taxi_trips.csv lecture_1.slides.html\r\n",
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"LICENSE.md lecture_1_exercise.ipynb\r\n",
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"Makefile lecture_1_exercise_solution.ipynb\r\n",
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"\u001b[1m\u001b[36m__pycache__\u001b[m\u001b[m lecture_2.ipynb\r\n",
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"\u001b[1m\u001b[36m_build\u001b[m\u001b[m lecture_2.slides.html\r\n",
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"_config.yml lecture_2_exercise.ipynb\r\n",
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"\u001b[1m\u001b[36m_static\u001b[m\u001b[m lecture_2_exercise_2_solution.ipynb\r\n",
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"_toc.yml lecture_3.ipynb\r\n",
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"\u001b[1m\u001b[36massignments\u001b[m\u001b[m lecture_3.slides.html\r\n",
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"assignments.md lecture_3_exercise_solution.ipynb\r\n",
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"conf.py lecture_4.ipynb\r\n",
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"curve.ipynb lecture_4.slides.html\r\n",
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"\u001b[1m\u001b[36mfinal_project\u001b[m\u001b[m lecture_5_exercise_solution.ipynb\r\n",
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"final_project.md lecture_6.ipynb\r\n",
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"home.md lecture_6.slides.html\r\n",
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"hw_0.ipynb lectures.md\r\n",
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"hw_1.md \u001b[1m\u001b[36mmeta\u001b[m\u001b[m\r\n",
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"hw_2.ipynb meta.md\r\n",
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"hw_3.ipynb nbdime_config.json\r\n",
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"hw_4.ipynb pyproject.toml\r\n",
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"index.md registration.md\r\n",
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"joining_late.md resources.md\r\n",
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"lecture_0.slides.html syllabus.md\r\n",
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"lecture_1.ipynb \u001b[1m\u001b[36mtmp\u001b[m\u001b[m\r\n"
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"\u001b[1m\u001b[36m__pycache__\u001b[m\u001b[m lecture_2.slides.html\r\n",
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"\u001b[1m\u001b[36m_build\u001b[m\u001b[m lecture_2_exercise.ipynb\r\n",
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"_config.yml lecture_2_exercise_2_solution.ipynb\r\n",
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"\u001b[1m\u001b[36m_static\u001b[m\u001b[m lecture_3.ipynb\r\n",
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"_toc.yml lecture_3.slides.html\r\n",
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"\u001b[1m\u001b[36massignments\u001b[m\u001b[m lecture_3_exercise_solution.ipynb\r\n",
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"assignments.md lecture_4.ipynb\r\n",
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"attendance.csv lecture_4.slides.html\r\n",
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"conf.py lecture_5.ipynb\r\n",
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"curve.ipynb lecture_5.slides.html\r\n",
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"\u001b[35mdata\u001b[m\u001b[m lecture_5_exercise_solution.ipynb\r\n",
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"\u001b[1m\u001b[36mextras\u001b[m\u001b[m lecture_6.ipynb\r\n",
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"\u001b[1m\u001b[36mfinal_project\u001b[m\u001b[m lecture_6.slides.html\r\n",
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"final_project.md lectures.md\r\n",
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"home.md \u001b[1m\u001b[36mmeta\u001b[m\u001b[m\r\n",
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"hw_0.ipynb meta.md\r\n",
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"hw_1.md nbdime_config.json\r\n",
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"hw_2.ipynb pyproject.toml\r\n",
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"hw_3.ipynb registration.md\r\n",
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"hw_4.ipynb resources.md\r\n",
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"index.md \u001b[1m\u001b[36mresults\u001b[m\u001b[m\r\n",
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"joining_late.md simple.html\r\n",
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"lecture_0.ipynb simple.ipynb\r\n",
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"lecture_0.slides.html \u001b[35msolutions\u001b[m\u001b[m\r\n",
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"lecture_1.ipynb syllabus.md\r\n",
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"lecture_1.slides.html \u001b[1m\u001b[36mtmp\u001b[m\u001b[m\r\n"
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‎lecture_1_exercise_solution.ipynb‎

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"2025-02-24 23:27:52 URL:https://data.cityofnewyork.us/resource/m6nq-qud6.csv [136065] -> \"2021_yellow_taxi_trips.csv\" [1]\r\n"
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"2025-03-17 00:00:31 URL:https://data.cityofnewyork.us/resource/m6nq-qud6.csv [136065] -> \"2021_yellow_taxi_trips.csv\" [1]\r\n"
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‎lecture_2.ipynb‎

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"/var/folders/kr/nx0m1j811kz5vy8c87ffchzr0000gn/T/ipykernel_95204/610958175.py:2: DtypeWarning: Columns (8,20,31,34) have mixed types. Specify dtype option on import or set low_memory=False.\n",
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"/var/folders/kr/nx0m1j811kz5vy8c87ffchzr0000gn/T/ipykernel_96620/610958175.py:2: DtypeWarning: Columns (8,20,31,34) have mixed types. Specify dtype option on import or set low_memory=False.\n",
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"/var/folders/kr/nx0m1j811kz5vy8c87ffchzr0000gn/T/ipykernel_95204/1354368569.py:1: DtypeWarning: Columns (20,31,34) have mixed types. Specify dtype option on import or set low_memory=False.\n",
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"/var/folders/kr/nx0m1j811kz5vy8c87ffchzr0000gn/T/ipykernel_96620/1354368569.py:1: DtypeWarning: Columns (20,31,34) have mixed types. Specify dtype option on import or set low_memory=False.\n",
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‎lecture_3.ipynb‎

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