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Merge 'upstream/next' into jy-24upd-chennai-sample
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guide/03-the-gis/working-with-different-authentication-schemes.ipynb

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"## Storing your credentials locally\n",
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"If you are signing in frequently to a particular GIS and would like to store the credentials locally on your computer, then you could do so using the `profile` parameter of your `GIS`.\n",
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"Persistent profiles for the GIS can be created by giving the GIS authorization credentials and specifying a profile name. The profile stores all of the authorization credentials (except the password) in the user’s home directory in an unencrypted config file named `.arcgisprofile.` The profile securely stores the password in an O.S. specific password manager through the [keyring](https://pypi.python.org/pypi/keyring) python module. (Note: Linux systems may need additional software installed and configured for proper security) Once a profile has been saved, passing the profile parameter by itself uses the authorization credentials saved in the configuration file/password manager by that profile name. Multiple profiles can be created and used in parallel.\n"
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"Persistent profiles for the GIS can be created by giving the GIS authorization credentials and specifying a profile name. The profile stores all of the authorization credentials (except the password) in the user’s home directory in an unencrypted config file named `.arcgisprofile.` The profile securely stores the password in an OS specific password manager through the [keyring](https://pypi.python.org/pypi/keyring) python module. (Note: Linux systems may need additional software installed and configured for proper security) Once a profile has been saved, passing the profile parameter by itself uses the authorization credentials saved in the configuration file/password manager by that profile name. Multiple profiles can be created and used in parallel.\n"
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guide/09-finding-places-with-geocoding/part3_finding_point_of_interests.ipynb

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guide/09-finding-places-with-geocoding/part4_batch_geocoding.ipynb

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guide/14-deep-learning/feature_categorization.ipynb

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samples/04_gis_analysts_data_scientists/count_cars_in_aerial_imagery_using_deep_learning.ipynb

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