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Python for Data Science: Pandas and Jupyter Lab

Python 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. This workshop will take you through some practical examples of using Python and specifically the Pandas module to load data from files and transform it into a standard “tidy” format, so it's ready to analyze and visualize. You will also get some experience working in JupyterLab, the new flexible programming environment which contain Jupyter Notebooks, a file browser, and more.

Note: This is an introductory workshop on the Pandas module, but you’ll probably be more comfortable following along if you have at least a little bit of experience using the Python programming language, since I won’t be spending time on the language itself. (Feel free to sign up no matter what your experience level, but past students with no Python or programming experience have found it too confusing to be useful.) The classroom in which this is held has Windows computers with Python and Pandas installed, so you don't need to bring a laptop.

The content of the workshop may be recorded. Cameras will capture the instructor station and the display screen. Ambient audio, including verbal audience  participation, will be included on the recording. Registration for the workshop indicates consent. If you are uncomfortable with a recording being published please contact the instructor at anytime prior to the conclusion of the workshop.

Date:
Thursday, September 12, 2019
Time:
10:00am - 12:00pm
Location:
Bostock 023 Training Room
Campus:
West Campus
Categories:
Data and Visualization  

Event Organizer

Eric Monson
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Center for Data and Visualization Sciences