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24 | 24 | "metadata": {},
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25 | 25 | "source": [
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26 | 26 | "### [`Guides`](https://developers.arcgis.com/python/guide/)\n",
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27 |
| - "* [`Working with geometries`](https://developers.arcgis.com/guide/)\n", |
| 27 | + "* Working with geometries\n", |
28 | 28 | " * [Part 3 - Spatial operations on geometries](https://developers.arcgis.com/python/guide/part3-spatial-operations-on-geometries/)\n",
|
29 | 29 | " * Adds `Area and Lengths` sections to `Pattern using arcgis.geometry.functions: uses server-side geometry engine` section\n",
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30 |
| - "* [`Working with the Spatially Enabled DataFrame`](https://developers.arcgis.com/python/guide/)\n", |
31 |
| - " * [Introduction to the Spatially Enabled DataFrame](https://developers.arcgis.com/python/guide/introduction-to-the-spatially-enabled-dataframe/)\n", |
32 |
| - " * Updates part of guide\n", |
33 |
| - "* [`Deep Learning with ArcGIS`](https://developers.arcgis.com/python/guide/)\n", |
| 30 | + "* Deep Learning with ArcGIS\n", |
34 | 31 | " * [Deep learning on time series data](https://developers.arcgis.com/python/guide/dl-on-time-series-data)\n",
|
35 | 32 | " * Adds `Sequence Length` section\n",
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36 |
| - " * **New Guides**:\n", |
37 |
| - " * Adds [Using MMSegmentation with `arcgis.learn`](https://developers.arcgis.com/python/guide/using-mmsegmentation-with-arcgis-learn)" |
| 33 | + "\n", |
| 34 | + "**New Guides**:\n", |
| 35 | + " * Adds [Using MMSegmentation with `arcgis.learn`](https://developers.arcgis.com/python/guide/using-mmsegmentation-with-arcgis-learn)\n", |
| 36 | + " * Adds [Part 1 - Introduction to the Spatially Enabled DataFrame](https://developers.arcgis.com/python/guide/part1-introduction-to-sedf/). Subsequent parts are to be published in upcoming releases." |
38 | 37 | ]
|
39 | 38 | },
|
40 | 39 | {
|
|
49 | 48 | " * [Detecting deforestation in the Amazon rainforest using unsupervised K-means clustering on satellite imagery](https://developers.arcgis.com/python/sample-notebooks/detecting-deforestation-using-kmeans-clustering-on-sentinel-imagery)\n",
|
50 | 49 | " * [Coastline classification using Feature Classifier](https://developers.arcgis.com/python/sample-notebooks/coastline-classification-using-feature-classifier)\n",
|
51 | 50 | " * [Classification of SfM-derived point clouds using deep learning](https://developers.arcgis.com/python/sample-notebooks/classification-of-sfm-derived-point-clouds-using-deep-learning/)\n",
|
52 |
| - " * [Glacial Terminus Extraction using HRNet](https://developers.arcgis.com/python/sample-notebooks/glacial-terminus-using-hrnet/)\n", |
| 51 | + " * [Glacial Terminus Extraction using HRNet](https://developers.arcgis.com/python/sample-notebooks/glacial-terminus-extraction-using-hrnet/)\n", |
53 | 52 | " * [Finetuning Pre-trained Building Footprint Model](https://developers.arcgis.com/python/sample-notebooks/finetuning-pre-trained-building-footprint-model)"
|
54 | 53 | ]
|
55 | 54 | },
|
|
4577 | 4576 | "name": "python",
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4578 | 4577 | "nbconvert_exporter": "python",
|
4579 | 4578 | "pygments_lexer": "ipython3",
|
4580 |
| - "version": "3.6.10" |
| 4579 | + "version": "3.7.7" |
4581 | 4580 | },
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4582 | 4581 | "toc": {
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4583 | 4582 | "base_numbering": 1,
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