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core/datetime/datetime.ipynb

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"In this notebook, we will:\n",
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"\n",
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"1. Introduce the [time](https://docs.python.org/3/library/time.html) and [datetime](https://docs.python.org/3/library/datetime.html) modules from the Python Standard Library\n",
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"1. Take a brief aside into Object-Oriented programming and Python classes\n",
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"1. Look at formatted input and output of dates and times\n",
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"1. See how we can do simple arithmetic on date/time data, making use of the `timedelta` object\n",
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"1. Briefly make use of the [pytz](https://pypi.org/project/pytz/) module to handle some thorny time zone issues in Python."

core/pandas/pandas.ipynb

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"source": [
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"<div class=\"admonition alert alert-info\">\n",
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" <p class=\"admonition-title\" style=\"font-weight:bold\">Info</p>\n",
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" label-based slices are <b>inclusive</b> of the final value, different to above!\n",
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" label-based slices are <b>inclusive</b> of the final value, different from above!\n",
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"</div>"
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]
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core/xarray/xarray.ipynb

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"| [NumPy Basics](../numpy/numpy-basics) | Necessary | |\n",
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"| [Intermediate NumPy](../numpy/intermediate-numpy) | Helpful | Familiarity with indexing and slicing arrays |\n",
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"| [NumPy Broadcasting](../numpy/numpy-broadcasting) | Helpful | Familiar with array arithmetic and broadcasting |\n",
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"| [Introduction to Pandas](../pandas/pandas_fullNotebook) | Helpful | Familiarity with labeled data |\n",
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"| [Introduction to Pandas](../pandas/pandas) | Helpful | Familiarity with labeled data |\n",
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"| [Datetime](../datetime/datetime) | Helpful | Familiarity with time formats and the `timedelta` object |\n",
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"| [Understanding of NetCDF](some-link-to-external-resource) | Helpful | Familiarity with metadata structure |\n",
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"\n",
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"\n",
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"### Simple visualization with `.plot()`\n",
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"Much like we saw in [Pandas](../pandas/pandas_fullNotebook), Xarray includes an interface to [Matplotlib](../matplotlib) that we can access through the `.plot()` method of every `DataArray`.\n",
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"Much like we saw in [Pandas](../pandas/pandas), Xarray includes an interface to [Matplotlib](../matplotlib) that we can access through the `.plot()` method of every `DataArray`.\n",
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"\n",
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"For quick and easy data exploration, we can just call `.plot()` without any modifiers:"
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]

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