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DTSTART:20220923T163000Z
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SUMMARY:Python for ArcGIS - Working with ArcGIS Notebooks
DESCRIPTION:The Python programming language was first introduced to the 
 ArcGIS community in 2004\, with the release of ArcGIS version 9.0\, as one 
 of the scripting languages that provides access to the ArcGIS geoprocessing 
 framework. Since then\, Python has become the language of choice for 
 scripting and automation among ArcGIS users\, and indeed many other 
 applications. At the same time\, the ecosystem of Python libraries has 
 continued to grow (e.g.\, NumPy or SciPy for advanced mathematical and 
 scientific processing\, or more specialized modules for integrating deep 
 learning and machine learning tools such as Tensorflow). With the 
 introduction of the notebook interface\, initially using IPython\, and more 
 recently with the Jupyter Notebook server\, the Python language and 
 specifically Python Notebooks have become highly valuable tools for data 
 science.\n\nThis workshop introduces you to using Python code in a Jupyter 
 Notebook\, an open source web application that enables you to create and 
 share documents that contain rich text\, equations and multimedia\, 
 alongside executable code and visualization of analysis outputs. The 
 tutorial begins by stepping through the basics of setting up and being 
 productive with Python notebooks\, and using pandas and Dask libraries for 
 basic data wrangling tasks. You will also be introduced to ArcGIS 
 Notebooks\, which are Python Notebooks that are well-integrated within the 
 ArcGIS platform.\n\nBy completing this workshop\, you will learn how to set 
 up and interact with ArcGIS Notebooks\, and how to load\, analyze\, and 
 visualize GIS datasets in a Python Notebook to create a compelling document 
 that communicates your GIS data processes or data science workflows for 
 other developers.\n\nPrior knowledge of Python is highly recommended. 
 \n\nThis workshop is meant to be an introduction to ArcGIS Notebooks\, 
 rather than learning the Python language. While all skill levels are 
 welcome\, there will only be a brief overview of Python at the beginning of 
 the workshop.\n\nInformation about the presenter\n\nKendra Munn is an Urban 
 Solutions Specialist in the Education and Research group at Esri Canada. 
 Her role focuses on developing educational resources on ArcGIS software\, 
 contributing to academic research projects\, and supporting the 
 Professional Services group through the implementation of 3D and urban 
 planning projects.\n\nThings to do before arriving.\n\n1. Create an ArcGIS 
 Online account\n\nYou will need to create an ArcGIS Online account with GIS 
 Professional Advanced user type with permission to use Advanced Notebooks 
 and Geoenrichment\, if you do not already have one. Ensure that you know 
 your login username and password. Note that this workshop involves some 
 credit consumption\, but this can be minimized by skipping certain 
 steps\n\n\n	UBC Students/Faculty: If you don’t already have an ESRI 
 account\, you can get one from the UBC GIS website: 
 https://gis.ubc.ca/software/. Please be aware that following along with 
 this workshop will use approximately 20  credits. To check your personal 
 credit amount\, see the "Credits" tab in your account profile settings: 
 https://ubc.maps.arcgis.com/home/user.html#settings\n	Non-UBC Students: You 
 can obtain a free 21-day trial account of ArcGIS Online here: 
 https://www.esri.com/en-us/arcgis/products/arcgis-online/trial#students 
 Click Sign up for the trial\, then select Software Access. A new trial 
 account comes with enough credits for you to follow along with the 
 workshop.\n\n\n2. Acquire the appropriate software [Optional]\n\nThis 
 workshop is being held in an instructional computer lab in Koerner 
 Library\, which will have all of the required softare already installed. 
 However\, if you would like to use your own laptop for this workshop\, you 
 will need to download and install the required software if you do not 
 already have it:\n\n\n	ArcGIS Pro\, 2.9  recommended\, 2.5  
 minimum\n\n\nFor anyone planning to use your own Mac laptop\, please ensure 
 you have all of the requirements needed to run ArcGIS Pro on MacOS: 
 https://pro.arcgis.com/en/pro-app/latest/get-started/run-pro-on-a-mac.htm\n\n3. 
 Readings and reference [Optional]\n\n\n	Introducing ArcGIS Notebooks: 
 https://www.esri.com/arcgis-blog/products/arcgis-enterprise/analytics/introducing-arcgis-notebooks/ 
 (this is for Enterprise\, not ArcGIS Pro\, but covers a lot of good 
 points)\n	ArcGIS API for Python: https://developers.arcgis.com/python/ 
 \n	ArcGIS Pro Python Reference: 
 https://pro.arcgis.com/en/pro-app/latest/arcpy/main/arcgis-pro-arcpy-reference.htm\n	Jupyter 
 Notebooks cheat sheet and Pandas cheat sheet.\n
LOCATION:217 - Computer Lab\, Koerner Library
ORGANIZER;CN="Research Commons":MAILTO:research.commons@ubc.ca
CATEGORIES:GIS, Research Commons
CONTACT;CN="Research Commons":MAILTO:research.commons@ubc.ca
STATUS:CONFIRMED
UID:LibCal-3681451
URL:https://libcal.library.ubc.ca/event/3681451
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