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BEGIN:VEVENT
DTSTART:20210811T130000Z
DTEND:20210811T210000Z
DTSTAMP:20210811T000000Z
SUMMARY:Software Carpentry: Plotting and Programming in Python
DESCRIPTION:Software Carpentry aims to help researchers get their work done 
 in less time and with less pain by teaching them basic research computing 
 skills. This hands-on workshop will cover basic concepts and tools for 
 computing with the Python programming language\, including program design\, 
 data management\, task automation\, and creating visualizations and 
 reports. Throughout the lesson\, emphasis is placed on practices that 
 support scientific transparency and reproducibility. Participants will be 
 encouraged to help one another and to apply what they have learned to their 
 own research problems.\n\nThe workshop will take place over 2 days. 
 Registering for one day will register you for the other\; you should plan 
 to attend both days.\n\nThe workshop is open to anyone. You do not need any 
 experience to participate but you will need access to a WIndows\, Mac or 
 Linux computer. The workshop will be hosted in person in Newman Library and 
 will include a 1-hour lunch break each day\; instructions for accessing 
 course material and installing software will be sent in advance. For 
 questions\, contact Data Education Coordinator Nathaniel Porter.\n\nBy the 
 end of this workshop\, you will be able to:\n\n\n	Comfortably navigate the 
 JupyterLab interface\, working with scripts\, interactive sessions\, data\, 
 packages\, and help\n	Perform basic functions in Python\, including 
 variable assignment and modification with common varaible types\n	Import 
 and export mulitple data formats in Python\n	Access and modify rows\, 
 columns\, and data points in Pandas DataFrames\n	Use loops\, functions\, 
 and conditionals to automate Python workflows\n	Combine\, clean and reshape 
 Pandas DataFrames\n	Create visualizations and data summaries in 
 Python\n	Write understandable\, reproducible and well-documented code in 
 Python\n\n\nIf you are an individual with a disability and desire an 
 accommodation\, please email library-event-accessibility-g@vt.edu at least 
 10 business days prior to the event.\n
LOCATION:Blacksburg Campus
ORGANIZER;CN="Nathaniel Porter":MAILTO:ndporter@vt.edu
CATEGORIES:Data Science, Workshop
CONTACT;CN="Nathaniel Porter":MAILTO:ndporter@vt.edu
STATUS:CONFIRMED
UID:LibCal-7922381
URL:https://calendar.lib.vt.edu/event/7922381
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TRIGGER:-PT15M
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BEGIN:VEVENT
DTSTART:20210812T130000Z
DTEND:20210812T210000Z
DTSTAMP:20210812T000000Z
SUMMARY:Software Carpentry: Plotting and Programming in Python
DESCRIPTION:Software Carpentry aims to help researchers get their work done 
 in less time and with less pain by teaching them basic research computing 
 skills. This hands-on workshop will cover basic concepts and tools for 
 computing with the Python programming language\, including program design\, 
 data management\, task automation\, and creating visualizations and 
 reports. Throughout the lesson\, emphasis is placed on practices that 
 support scientific transparency and reproducibility. Participants will be 
 encouraged to help one another and to apply what they have learned to their 
 own research problems.\n\nThe workshop will take place over 2 days. 
 Registering for one day will register you for the other\; you should plan 
 to attend both days.\n\nThe workshop is open to anyone. You do not need any 
 experience to participate but you will need access to a WIndows\, Mac or 
 Linux computer. The workshop will be hosted in person in Newman Library and 
 will include a 1-hour lunch break each day\; instructions for accessing 
 course material and installing software will be sent in advance. For 
 questions\, contact Data Education Coordinator Nathaniel Porter.\n\nBy the 
 end of this workshop\, you will be able to:\n\n\n	Comfortably navigate the 
 JupyterLab interface\, working with scripts\, interactive sessions\, data\, 
 packages\, and help\n	Perform basic functions in Python\, including 
 variable assignment and modification with common varaible types\n	Import 
 and export mulitple data formats in Python\n	Access and modify rows\, 
 columns\, and data points in Pandas DataFrames\n	Use loops\, functions\, 
 and conditionals to automate Python workflows\n	Combine\, clean and reshape 
 Pandas DataFrames\n	Create visualizations and data summaries in 
 Python\n	Write understandable\, reproducible and well-documented code in 
 Python\n\n\nIf you are an individual with a disability and desire an 
 accommodation\, please email library-event-accessibility-g@vt.edu at least 
 10 business days prior to the event.\n
LOCATION:Blacksburg Campus
ORGANIZER;CN="Nathaniel Porter":MAILTO:ndporter@vt.edu
CATEGORIES:Data Science, Workshop
CONTACT;CN="Nathaniel Porter":MAILTO:ndporter@vt.edu
STATUS:CONFIRMED
UID:LibCal-7922382
URL:https://calendar.lib.vt.edu/event/7922382
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