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DTSTART:20221018T140000Z
DTEND:20221018T150000Z
DTSTAMP:20221018T000000Z
SUMMARY:Assignment Pandas 101: Dataframe access and simple plotting
DESCRIPTION:[Online] Work together over Zoom on a basic Python Pandas 101 
 assignment. Attendees are expected to watch my Python for Data Science: 
 Pandas 101 spring 2022 video first\, or have some previous experience with 
 both Python and Pandas. This will be an opportunity to work together on the 
 assignment we didn't have time for at the end of that workshop\, plus have 
 questions answered live. The assignment will be very basic\, covering 
 DataFrame access and simple built-in Pandas plotting.\n\nPython can be a 
 great option for exploration\, analysis and visualization of tabular data\, 
 such as spreadsheets and CSV files\, if you know which tools to use and how 
 to get started. My spring 2022 Pandas 101 video takes you through some 
 practical examples of using Python and specifically the Pandas module to 
 load data from files\, access that data\, and start visualizing it with the 
 Pandas built-in plotting functions. It also gives you a quick introduction 
 to working in JupyterLab\, the flexible programming environment which 
 contain Jupyter Notebooks\, a file browser\, and more.\n\n\n	You will be 
 expected to have your video on for most of the session\, and to potentially 
 share your screen during part of the work time.\n	You will be expected to 
 arrive with Python and Pandas already installed on the machine you're 
 Zooming from. \n	\n		Instructions are listed below for installation!\n		I 
 will hold open Zoom walk-in hours for an hour before the workshop to help 
 remotely troubleshoot installation issues. Email me at emonson@duke.edu to 
 get the URL.\n	\n	\n\n\nAnaconda Python distribution (Individual Edition): 
 \nhttps://www.anaconda.com/products/individual\n\nI strongly recommend that 
 you install the Anaconda Python Distribution to use in class. In 
 principle\, if you have something above Python 3.8 or so\, plus all the 
 necessary modules\, everything should work fine. But\, the Anaconda 
 Distribution is packaged nicely\, can be installed without admin 
 privileges\, and comes with everything you’ll need. If you have another 
 version of Python already installed and you’re going to install 
 Anaconda\, it’s best to uninstall the other version first. It can get to 
 be a mess if you have multiple versions of Python installed on one machine. 
 \n\nGo to the link above\, hit Download\, and choose the version for your 
 operating system. I would recommend to just install for “yourself”\, 
 not for all users of the machine\, since that way it will install 
 everything in your Users/username folder and doesn’t require admin 
 privileges. \n\nIf you’re on Mac and aren’t comfortable with shell 
 scripts on the command line\, choose the Graphical Installer. \n\nOn 
 Windows\, I would choose the 64-bit installer\, unless you know you’re 
 still running a 32-bit version of Windows on an older machine. \n\nIf 
 you’re sticking with your non-Anaconda version of Python\, make sure you 
 have JupyterLab\, Pandas\, and all of their respective dependencies 
 installed.\n\nPlease try to launch Python and JupyterLab before class to 
 make sure they’re working! JupyterLab can be started from the Anaconda 
 Navigator application\, or from the Anaconda Prompt (Windows) or a Terminal 
 (Mac) by typing (without quotes) “jupyter lab” and hitting return. From 
 a Python notebook or an interactive Python prompt\, you can test out the 
 main modules you’ll need by typing this and executing the code 
 cell:\n\nimport pandas as pd\n\nA zoom link will be sent via email to 
 registered participants to join the workshop.\n\nThe content of the 
 workshop may be recorded. If you are uncomfortable with a recording being 
 published please contact the instructor at anytime prior to the conclusion 
 of the workshop.\n\nData Science\, Data Visualization
LOCATION:n/a
ORGANIZER;CN="Center for Data and Visualization Sciences":MAILTO:askdata@duke.edu
CATEGORIES:Data and Visualization
CONTACT;CN="Center for Data and Visualization Sciences":MAILTO:askdata@duke.edu
STATUS:CONFIRMED
UID:LibCal-9417983
URL:https://duke.libcal.com/event/9417983
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