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DTSTAMP:20260614T183400Z
UID:4a88d89b-7e90-473e-8e00-5cfe137802df
DTSTART:20231120T090000Z
DTEND:20231201T123000Z
DESCRIPTION:\nMuch of the popularity of Python stems from the availability 
 of high quality libraries of existing code that we can use for our own pro
 jects. Libraries ("packages"\, in Python terminology) are even more useful
  when they are designed to work together.\n\nFor scientific programming\, 
 we are lucky to have a collection of mature packages which work together t
 o form a stack:\n\nnumpy for numerical processing\npandas for reading\, cl
 eaning and processing tabular data files\nmatplotlib as a low-level charti
 ng library\nseaborn as a high-level charting library for rapid dataset exp
 loration through visualization\nIn this course\, we will learn how to use 
 these packages together to quickly explore large biological datasets\, fin
 d meaningful patterns in the data\, and present our results clearly.\n\nWe
  will focus on the high-level packages - pandas and seaborn - as this will
  allow us to do the most work with the smallest amount of code. By concent
 rating on just two packages for an entire course\, we will be able to cove
 r a large part of what these tools can do.\n\nThis event will be delivered
  virtually via Zoom &amp\; Slack\, see more details on the further informa
 tion tab. \nPlease see here for a detailed syllabus of the course. 
SUMMARY:Data exploration with Python 2023
URL;VALUE=URI:https://www.earlham.ac.uk/events/data-exploration-python-2023
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