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X-ORIGINAL-URL:https://www.rc.fas.harvard.edu/
X-WR-CALNAME:FAS Research Computing
X-WR-CALDESC:HARVARD UNIVERSITY | FACULTY OF ARTS & SCIENCES
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BEGIN:VEVENT
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UID:MEC-a2729b7746a7f069a1d87a2141cf6aee@rc.fas.harvard.edu
DTSTART:20210402T150000Z
DTEND:20210402T170000Z
DTSTAMP:20210125T143100Z
CREATED:20210125
LAST-MODIFIED:20210125
PRIORITY:5
TRANSP:OPAQUE
SUMMARY:Data Handling in Python Workshop (University-Wide)
DESCRIPTION:Python is a versatile and powerful general-purpose programming language, and people with a broad spectrum of skills use it for their research and work. Handling data in Python is sometimes challenging in terms of working with large datasets and efficient parsing of data files. In this course, we'll go deep in Python and best practices when working with datasets and especially tools for handling large datasets. We cover intermediate to advanced topics from data structures to working efficiently with data files.\n\nAudience: University-wide\nPre-Requisites: Basic familiarity with Python is required. Participants should be able to use an integrated development environment (IDE) or a command-line text editor, such as Vim/Nano/Emacs, without assistance.\nCost: None\nLate Drop/Cancel Fee: None\n\nAdditional Information: Since students and researchers will utilize the FAS Research Computing cluster to run the Python codes, basic familiarity with the cluster, Python, and Unix commands is strongly recommended. Otherwise, attendees will not be able to keep up during the workshop's hands-on part.\nRegistration and details on the Harvard Training Portal: REGISTER ( https://trainingportal.harvard.edu/Saba/Web_spf/NA1PRD0068/common/leclassview/virtc000000000008311 )\n
URL:https://www.rc.fas.harvard.edu/events/23755/
CATEGORIES:Training
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