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Atma Mani
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fixes broken links in whats new
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guide/02-api-overview/release-notes.ipynb

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

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