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Merge pull request #104 from AdamTheisen/act_tutorial2
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ENH: Reorging the notebooks
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zssherman authored Aug 8, 2024
2 parents e590849 + 56b5f9b commit 3845a0b
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"\n",
"![Git Clone](images/git_clone_notebooks.png)\n",
"\n",
"The tutorials that we will be covering today will be found in ARM-Notebooks/Tutorials/UPR-ACT-2023/\n",
"However there are more tutorials from pass workshops in this repository for learning Python, Py-ART and more!\n",
"The tutorials that we will be covering today will be found in ARM-Notebooks/Tutorials/ACT-Python-Tutorial/\n",
"However there are more tutorials from past workshops in this repository for learning Python, Py-ART and more!\n",
"\n",
"Back with the Running Terminals and Kernels Tab open, click the \"X\" in your workspace to close the Terminal window. Notice that the Terminal is still running in the background! Click on the terminal in the Running Terminals and Kernels Tab to reopen it (and hit enter or return to get your prompt back). To truly close it, execute in the Terminal window:\n",
"\n",
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
"version": "3.11.5"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.4"
"version": "3.11.5"
}
},
"nbformat": 4,
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"id": "7b527246",
"metadata": {},
"source": [
"Numpy can be thought of as a space within the Python language whith more data types like C or FORTRAN and a richer set of mathematical/computational enivironment built on top of the base Python environment. All the regular Python functions still exsits just more options are available."
"Numpy can be thought of as a space within the Python language with more data types like C or FORTRAN and a richer set of mathematical/computational enivironment built on top of the base Python environment. All the regular Python functions still exsits just more options are available."
]
},
{
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.4"
"version": "3.11.5"
}
},
"nbformat": 4,
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"rh_rolling_mean = data['RH_Avg'].rolling(10, min_periods=2).max()\n",
"rh_rolling_mean"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "7cc7b562-0ed9-47a1-b09b-a6e20637dd17",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.4"
"version": "3.11.5"
}
},
"nbformat": 4,
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"ds_result = ds_result.dropna('time', how='all')\n",
"print('Number of time values:', ds_result.dims['time'])"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1c56c6a5-150c-464f-a01c-c734d8751837",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.4"
"version": "3.11.5"
}
},
"nbformat": 4,
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"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.12.2"
"version": "3.11.5"
}
},
"nbformat": 4,
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