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initial release notes for 1.8
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‎guide/02-api-overview/release-notes.ipynb‎

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"cell_type": "code",
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"execution_count": null,
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### New Guides\n",
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"[How Named Entity Recognition Works](https://developers.arcgis.com/python/guide/14-deep-learning/how-named-entity-recognition-works.ipynb)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### New Samples\n",
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"[Snow Avalanche Hazard Mapping for Lake Tahoe][(https://developers.arcgis.com/python/sample-notebooks/snow_avalanche_hazard_mapping_for_lake_tahoe.ipynb\n",
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"[Vehicle Detection and Tracking](https://developers.arcgis.com/python/sample-notebooks/vehicle_detection_and_tracking.ipynb)\n",
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"[Which areas are good cougar habitat?](https://developers.arcgis.com/samples/04_gis_analysts_data_scientists/which_areas_are_good_cougar_habitat.ipynb)\n",
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"[Information extraction from Madison city crime incident reports using Deep Learning](https://developers.arcgis.com/samples/04_gis_analysts_data_scientists/information-extraction-from-madison-city-crime-incident-reports-using-deep-learning.ipynb)\n",
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"[Detecting settlements using supervised classification and deep learning](https://developers.arcgis.com/samples/04_gis_analysts_data_scientists/detecting_settlements_using_supervised_classification_and_deep_learning.ipynb)\n",
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"[Reconstructing 3D buildings from Aerial LiDAR with Deep Learning](https://developers.arcgis.com/samples/04_gis_analysts_data_scientists/building_reconstruction_using_mask_rcnn.ipynb)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### [`arcgis.gis`](https://developers.arcgis.com/python/api-reference/arcgis.gis.toc.html#gis)\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### [`arcgis.gis.nb`](https://developers.arcgis.com/python/api-reference/arcgis.gis.server.html#module-arcgis.gis.nb)\n",
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"* Adds ability to [`execute_notebook()`] asynchronously with `future` parameter\n",
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"* Adds documentation for [`NotebookServer`](https://developers.arcgis.com/python/api-reference/arcgis.gis.server.html#notebookserver), [`NotebookManager`](https://developers.arcgis.com/python/api-reference/arcgis.gis.server.html#notebookmanager), [`Notebook`](https://developers.arcgis.com/python/api-reference/arcgis.gis.server.html#notebook), and [`Runtime`](https://developers.arcgis.com/python/api-reference/arcgis.gis.server.html#runtime)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### [`arcgis.features`](https://developers.arcgis.com/python/api-reference/arcgis.features.toc.html)\n",
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"* Adds `Spatially Enabled DataFrame` as input for [`FeatureLayer.edit_features()`](https://developers.arcgis.com/python/api-reference/arcgis.features.toc.html#arcgis.features.FeatureLayer.edit_features) method"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### [`arcgis.raster`]()\n",
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"* Adds [`temporal_profile()`](https://developers.arcgis.com/python/api-reference/arcgis.raster.toc.html#arcgis.raster.ImageryLayer.temporal_profile) function to create time series charts"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"outputs": [],
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{
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"cell_type": "code",
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"execution_count": null,
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"cell_type": "markdown",
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"metadata": {},
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"outputs": [],
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### [`arcgis.learn`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html)\n",
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"* New Models:\n",
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" * [PointCNN](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#pointcnn)\n",
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"* New [`export_point_dataset()`]() function to export `las` files\n",
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"* Adds support for additional CNN backbones to the [`MaskRCNN`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#maskrcnn) model:\n",
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" * `ResNet18`\n",
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" * `ResNet34`\n",
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" * `ResNet101`\n",
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" * `ResNet152`\n",
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"* Adds capability to use `Labelled Tiles` and `ImageNet` for the `dataset_type` parameter in the [`prepare_data()`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#prepare-data) function\n"
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]
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},
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"source": [
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"## Fixes"
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]
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{
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"cell_type": "markdown",
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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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"* Numberous enhancements to `Deep Learning with ArcGIS` guides\n",
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" * Enhancements and Prediction in Video section added to [\n",
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"Object Detection Workflow with `arcgis.learn`](`https://developers.arcgis.com/python/guide/object-detection/#Object-Detection-Workflow-with-arcgis.learn`)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Samples\n",
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"* Updated [`Integrating OpenStreetMap datasets with ArcGIS`](https://developers.arcgis.com/python/sample-notebooks/osm-runner/) sample to remover reliance on `Jupyter Dashboard`"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### [`arcgis.gis`](https://developers.arcgis.com/python/api-reference/arcgis.gis.toc.html#gis)\n",
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"* Fixes [`clone_items()`](https://developers.arcgis.com/python/api-reference/arcgis.gis.toc.html#arcgis.gis.ContentManager.clone_items) between Enterprise 10.4.1 and 10.5.1\n",
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"* Updates [`clone_items()`](https://developers.arcgis.com/python/api-reference/arcgis.gis.toc.html#arcgis.gis.ContentManager.clone_items) "
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### [`arcgis.gis.admin`](https://developers.arcgis.com/python/api-reference/arcgis.gis.admin.html#)\n",
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"* Fixes BUG-000128319 [`WebhookManager.create()`](https://developers.arcgis.com/python/api-reference/arcgis.gis.admin.html#arcgis.gis.admin.WebhookManager.create) failing when `events` parameter is list of actions"
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]
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},
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"cell_type": "code",
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"metadata": {},
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### [`arcgis.features`](https://developers.arcgis.com/python/api-reference/arcgis.features.toc.html)\n",
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"* Fixes [`Spatially Enabled DataFrame`](https://developers.arcgis.com/python/api-reference/arcgis.features.toc.html#geoaccessor) fails to draw if any numeric columns have null values\n",
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"* Fixes `FeatureLayerCollectionmanager` [`update_definition()`](https://developers.arcgis.com/python/api-reference/arcgis.features.managers.html#arcgis.features.managers.FeatureLayerCollectionManager.update_definition) and [`add_to_definition()`](https://developers.arcgis.com/python/api-reference/arcgis.features.managers.html#arcgis.features.managers.FeatureLayerCollectionManager.add_to_definition) methods on 10.8 Enterprise portals"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": []
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"#### [`arcgis.learn`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html)\n",
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"* Fixes `save()` method framework `AttributeError` for [`arcgis.learn`]() models\n",
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"* Improves reporting of accuracy metrics for models\n",
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"* Fixes issue where `validation loss curve` was not displayed when traning for more than one epoch\n",
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"* Fixes `AttributeError` on user-defined `learning rate`\n",
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"* Fixes [`DeepLab`]() model when using multispectral imagery and the `ResNet101` backbone\n",
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"* Fixes [`Retinanet.predict_video()`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#arcgis.learn.RetinaNet.predict_video) function when `resize` parameter is not set\n",
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"* Fixes [`MaskRCNN.from_model()`]() function to properly set default backbone when inferencing\n",
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"* Fixes [`DeepLab.fit()`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#arcgis.learn.DeepLab.fit) and [`PSPNet.fit()`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#arcgis.learn.PSPNetClassifier.fit) methods run on objects created with respective `from_model()` methods\n",
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"* Fixes [`prepare_data()`](https://developers.arcgis.com/python/api-reference/arcgis.learn.html#prepare-data) when `resize_to` parameter is larger than `chip_size` causing reflection padding and scale the image to an incorrect size"
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]
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},
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"nbconvert_exporter": "python",
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"version": "3.6.10"
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"version": "3.6.8"
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