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reordered operations in python notebook #28

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Jul 2, 2024
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reordered operations in python notebook #28

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34 changes: 16 additions & 18 deletions tutorial.ipynb
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Original file line number Diff line number Diff line change
Expand Up @@ -72,45 +72,43 @@
"id": "-uNeHCauXyvC"
},
"source": [
"First, we'll install a few packages via pip:"
"Note: this notebook assumes you are running from a colab environment. If this is not the case you may have to manually install a few packages that are pre-installed in colab such as numpy and pandas. \n",
"\n",
"First, import the auxiliary modules we need for part 1:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "4Q--V_Xrr3js"
},
"metadata": {},
"outputs": [],
"source": [
"!pip install -q -U fathomnet ipyleaflet"
"import ipywidgets as widgets # Provides embedded widgets\n",
"import ipyleaflet # Provides map widgets\n",
"import requests # Manages HTTP requests\n",
"import numpy as np # Facilitates array/matrix operations\n",
"import plotly.express as px # Generates nice plots\n",
"import random # Generates pseudo-random numbers\n",
"from PIL import Image, ImageFont, ImageDraw # Facilitates image operations\n",
"from io import BytesIO # Interfaces byte data"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "NfilAbptX2LU"
},
"metadata": {},
"source": [
"and import the auxiliary modules we need for part 1:"
"Next, we'll install a few packages via pip:"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"id": "QpcYIXG-sofq"
"id": "4Q--V_Xrr3js"
},
"outputs": [],
"source": [
"import ipywidgets as widgets # Provides embedded widgets\n",
"import ipyleaflet # Provides map widgets\n",
"import requests # Manages HTTP requests\n",
"import numpy as np # Facilitates array/matrix operations\n",
"import plotly.express as px # Generates nice plots\n",
"import random # Generates pseudo-random numbers\n",
"from PIL import Image, ImageFont, ImageDraw # Facilitates image operations\n",
"from io import BytesIO # Interfaces byte data"
"!pip install -q -U fathomnet ipyleaflet"
]
},
{
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