fixes broken links in whats new
"metadata": {},
"source": [
"### [`Guides`](https://developers.arcgis.com/python/guide/)\n",
- "* [`Working with geometries`](https://developers.arcgis.com/guide/)\n",
+ "* Working with geometries\n",
" * [Part 3 - Spatial operations on geometries](https://developers.arcgis.com/python/guide/part3-spatial-operations-on-geometries/)\n",
" * Adds `Area and Lengths` sections to `Pattern using arcgis.geometry.functions: uses server-side geometry engine` section\n",
- "* [`Working with the Spatially Enabled DataFrame`](https://developers.arcgis.com/python/guide/)\n",
- " * [Introduction to the Spatially Enabled DataFrame](https://developers.arcgis.com/python/guide/introduction-to-the-spatially-enabled-dataframe/)\n",
- " * Updates part of guide\n",
- "* [`Deep Learning with ArcGIS`](https://developers.arcgis.com/python/guide/)\n",
+ "* Deep Learning with ArcGIS\n",
" * [Deep learning on time series data](https://developers.arcgis.com/python/guide/dl-on-time-series-data)\n",
" * Adds `Sequence Length` section\n",
- " * **New Guides**:\n",
- " * Adds [Using MMSegmentation with `arcgis.learn`](https://developers.arcgis.com/python/guide/using-mmsegmentation-with-arcgis-learn)"
+ "\n",
+ "**New Guides**:\n",
+ " * Adds [Using MMSegmentation with `arcgis.learn`](https://developers.arcgis.com/python/guide/using-mmsegmentation-with-arcgis-learn)\n",
+ " * 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."
]
},
{
" * [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",
" * [Coastline classification using Feature Classifier](https://developers.arcgis.com/python/sample-notebooks/coastline-classification-using-feature-classifier)\n",
" * [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",
- " * [Glacial Terminus Extraction using HRNet](https://developers.arcgis.com/python/sample-notebooks/glacial-terminus-using-hrnet/)\n",
+ " * [Glacial Terminus Extraction using HRNet](https://developers.arcgis.com/python/sample-notebooks/glacial-terminus-extraction-using-hrnet/)\n",
" * [Finetuning Pre-trained Building Footprint Model](https://developers.arcgis.com/python/sample-notebooks/finetuning-pre-trained-building-footprint-model)"
]
},
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.6.10"
+ "version": "3.7.7"
},
"toc": {
"base_numbering": 1,
