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CALSCALE:GREGORIAN
X-WR-CALNAME:Introduction to Python
X-WR-TIMEZONE:Pacific Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260520T103300Z
UID:tag:localist.com\,2008:EventInstance_48350731580324
DTSTART:20250113T213000Z
DTEND:20250113T223000Z
DESCRIPTION:UO Libraries hosts a free\, ten-session hybrid workshop in whic
 h you will learn the fundamentals of Python—a programming language that 
 lets you work quickly and integrate systems more effectively—through int
 eractive programming exercises.\n\nDevelop core programming skills that wi
 ll allow you to write Python scripts for your own work. Topics covered inc
 luded basic Python syntax\, Jupyter notebooks\, variables\, data types\, m
 athematical functions\, data structures\, data visualization\, and useful 
 libraries like Pandas. This workshop series follows this Software Carpentr
 ies workshop curriculum\, and you can review all exercises or look ahead b
 y following the link.\n\nThis interactive course is intended for absolute 
 beginners or anyone who wants to review the basics. No experience required
 !\n\nBefore the workshop\, please install JupyterLab so you can code along
 . Our first day will be focused on helping with installations\, and testin
 g that your installation works. If you have any questions\, run into troub
 le\, or would like to use a different installation (such as Anaconda\, Spy
 der\, JetBrains\, VSCode)\, please schedule a quick appointment with Data 
 Services.\n\nRegister though the UO Libraries' website.
GEO:44.043178;-123.077726
LOCATION:Knight Library\, Knight 267B
SUMMARY:Introduction to Python
URL;VALUE=URI:https://calendar.uoregon.edu/event/introduction-to-python-230
 5
CATEGORIES:Academic
CATEGORIES:Lectures & Presentations
CATEGORIES:Workshop
CATEGORIES:Free
CATEGORIES:Recurring
CATEGORIES:Academic Support
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260520T103300Z
UID:tag:localist.com\,2008:EventInstance_48350731581349
DTSTART:20250115T213000Z
DTEND:20250115T223000Z
DESCRIPTION:UO Libraries hosts a free\, ten-session hybrid workshop in whic
 h you will learn the fundamentals of Python—a programming language that 
 lets you work quickly and integrate systems more effectively—through int
 eractive programming exercises.\n\nDevelop core programming skills that wi
 ll allow you to write Python scripts for your own work. Topics covered inc
 luded basic Python syntax\, Jupyter notebooks\, variables\, data types\, m
 athematical functions\, data structures\, data visualization\, and useful 
 libraries like Pandas. This workshop series follows this Software Carpentr
 ies workshop curriculum\, and you can review all exercises or look ahead b
 y following the link.\n\nThis interactive course is intended for absolute 
 beginners or anyone who wants to review the basics. No experience required
 !\n\nBefore the workshop\, please install JupyterLab so you can code along
 . Our first day will be focused on helping with installations\, and testin
 g that your installation works. If you have any questions\, run into troub
 le\, or would like to use a different installation (such as Anaconda\, Spy
 der\, JetBrains\, VSCode)\, please schedule a quick appointment with Data 
 Services.\n\nRegister though the UO Libraries' website.
GEO:44.043178;-123.077726
LOCATION:Knight Library\, Knight 267B
SUMMARY:Introduction to Python
URL;VALUE=URI:https://calendar.uoregon.edu/event/introduction-to-python-230
 5
CATEGORIES:Academic
CATEGORIES:Lectures & Presentations
CATEGORIES:Workshop
CATEGORIES:Free
CATEGORIES:Recurring
CATEGORIES:Academic Support
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260520T103300Z
UID:tag:localist.com\,2008:EventInstance_48350731583398
DTSTART:20250122T213000Z
DTEND:20250122T223000Z
DESCRIPTION:UO Libraries hosts a free\, ten-session hybrid workshop in whic
 h you will learn the fundamentals of Python—a programming language that 
 lets you work quickly and integrate systems more effectively—through int
 eractive programming exercises.\n\nDevelop core programming skills that wi
 ll allow you to write Python scripts for your own work. Topics covered inc
 luded basic Python syntax\, Jupyter notebooks\, variables\, data types\, m
 athematical functions\, data structures\, data visualization\, and useful 
 libraries like Pandas. This workshop series follows this Software Carpentr
 ies workshop curriculum\, and you can review all exercises or look ahead b
 y following the link.\n\nThis interactive course is intended for absolute 
 beginners or anyone who wants to review the basics. No experience required
 !\n\nBefore the workshop\, please install JupyterLab so you can code along
 . Our first day will be focused on helping with installations\, and testin
 g that your installation works. If you have any questions\, run into troub
 le\, or would like to use a different installation (such as Anaconda\, Spy
 der\, JetBrains\, VSCode)\, please schedule a quick appointment with Data 
 Services.\n\nRegister though the UO Libraries' website.
GEO:44.043178;-123.077726
LOCATION:Knight Library\, Knight 267B
SUMMARY:Introduction to Python
URL;VALUE=URI:https://calendar.uoregon.edu/event/introduction-to-python-230
 5
CATEGORIES:Academic
CATEGORIES:Lectures & Presentations
CATEGORIES:Workshop
CATEGORIES:Free
CATEGORIES:Recurring
CATEGORIES:Academic Support
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260520T103300Z
UID:tag:localist.com\,2008:EventInstance_48350731584423
DTSTART:20250127T213000Z
DTEND:20250127T223000Z
DESCRIPTION:UO Libraries hosts a free\, ten-session hybrid workshop in whic
 h you will learn the fundamentals of Python—a programming language that 
 lets you work quickly and integrate systems more effectively—through int
 eractive programming exercises.\n\nDevelop core programming skills that wi
 ll allow you to write Python scripts for your own work. Topics covered inc
 luded basic Python syntax\, Jupyter notebooks\, variables\, data types\, m
 athematical functions\, data structures\, data visualization\, and useful 
 libraries like Pandas. This workshop series follows this Software Carpentr
 ies workshop curriculum\, and you can review all exercises or look ahead b
 y following the link.\n\nThis interactive course is intended for absolute 
 beginners or anyone who wants to review the basics. No experience required
 !\n\nBefore the workshop\, please install JupyterLab so you can code along
 . Our first day will be focused on helping with installations\, and testin
 g that your installation works. If you have any questions\, run into troub
 le\, or would like to use a different installation (such as Anaconda\, Spy
 der\, JetBrains\, VSCode)\, please schedule a quick appointment with Data 
 Services.\n\nRegister though the UO Libraries' website.
GEO:44.043178;-123.077726
LOCATION:Knight Library\, Knight 267B
SUMMARY:Introduction to Python
URL;VALUE=URI:https://calendar.uoregon.edu/event/introduction-to-python-230
 5
CATEGORIES:Academic
CATEGORIES:Lectures & Presentations
CATEGORIES:Workshop
CATEGORIES:Free
CATEGORIES:Recurring
CATEGORIES:Academic Support
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260520T103300Z
UID:tag:localist.com\,2008:EventInstance_48350731585448
DTSTART:20250129T213000Z
DTEND:20250129T223000Z
DESCRIPTION:UO Libraries hosts a free\, ten-session hybrid workshop in whic
 h you will learn the fundamentals of Python—a programming language that 
 lets you work quickly and integrate systems more effectively—through int
 eractive programming exercises.\n\nDevelop core programming skills that wi
 ll allow you to write Python scripts for your own work. Topics covered inc
 luded basic Python syntax\, Jupyter notebooks\, variables\, data types\, m
 athematical functions\, data structures\, data visualization\, and useful 
 libraries like Pandas. This workshop series follows this Software Carpentr
 ies workshop curriculum\, and you can review all exercises or look ahead b
 y following the link.\n\nThis interactive course is intended for absolute 
 beginners or anyone who wants to review the basics. No experience required
 !\n\nBefore the workshop\, please install JupyterLab so you can code along
 . Our first day will be focused on helping with installations\, and testin
 g that your installation works. If you have any questions\, run into troub
 le\, or would like to use a different installation (such as Anaconda\, Spy
 der\, JetBrains\, VSCode)\, please schedule a quick appointment with Data 
 Services.\n\nRegister though the UO Libraries' website.
GEO:44.043178;-123.077726
LOCATION:Knight Library\, Knight 267B
SUMMARY:Introduction to Python
URL;VALUE=URI:https://calendar.uoregon.edu/event/introduction-to-python-230
 5
CATEGORIES:Academic
CATEGORIES:Lectures & Presentations
CATEGORIES:Workshop
CATEGORIES:Free
CATEGORIES:Recurring
CATEGORIES:Academic Support
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260520T103300Z
UID:tag:localist.com\,2008:EventInstance_48350731587497
DTSTART:20250203T213000Z
DTEND:20250203T223000Z
DESCRIPTION:UO Libraries hosts a free\, ten-session hybrid workshop in whic
 h you will learn the fundamentals of Python—a programming language that 
 lets you work quickly and integrate systems more effectively—through int
 eractive programming exercises.\n\nDevelop core programming skills that wi
 ll allow you to write Python scripts for your own work. Topics covered inc
 luded basic Python syntax\, Jupyter notebooks\, variables\, data types\, m
 athematical functions\, data structures\, data visualization\, and useful 
 libraries like Pandas. This workshop series follows this Software Carpentr
 ies workshop curriculum\, and you can review all exercises or look ahead b
 y following the link.\n\nThis interactive course is intended for absolute 
 beginners or anyone who wants to review the basics. No experience required
 !\n\nBefore the workshop\, please install JupyterLab so you can code along
 . Our first day will be focused on helping with installations\, and testin
 g that your installation works. If you have any questions\, run into troub
 le\, or would like to use a different installation (such as Anaconda\, Spy
 der\, JetBrains\, VSCode)\, please schedule a quick appointment with Data 
 Services.\n\nRegister though the UO Libraries' website.
GEO:44.043178;-123.077726
LOCATION:Knight Library\, Knight 267B
SUMMARY:Introduction to Python
URL;VALUE=URI:https://calendar.uoregon.edu/event/introduction-to-python-230
 5
CATEGORIES:Academic
CATEGORIES:Lectures & Presentations
CATEGORIES:Workshop
CATEGORIES:Free
CATEGORIES:Recurring
CATEGORIES:Academic Support
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260520T103300Z
UID:tag:localist.com\,2008:EventInstance_48350731588522
DTSTART:20250205T213000Z
DTEND:20250205T223000Z
DESCRIPTION:UO Libraries hosts a free\, ten-session hybrid workshop in whic
 h you will learn the fundamentals of Python—a programming language that 
 lets you work quickly and integrate systems more effectively—through int
 eractive programming exercises.\n\nDevelop core programming skills that wi
 ll allow you to write Python scripts for your own work. Topics covered inc
 luded basic Python syntax\, Jupyter notebooks\, variables\, data types\, m
 athematical functions\, data structures\, data visualization\, and useful 
 libraries like Pandas. This workshop series follows this Software Carpentr
 ies workshop curriculum\, and you can review all exercises or look ahead b
 y following the link.\n\nThis interactive course is intended for absolute 
 beginners or anyone who wants to review the basics. No experience required
 !\n\nBefore the workshop\, please install JupyterLab so you can code along
 . Our first day will be focused on helping with installations\, and testin
 g that your installation works. If you have any questions\, run into troub
 le\, or would like to use a different installation (such as Anaconda\, Spy
 der\, JetBrains\, VSCode)\, please schedule a quick appointment with Data 
 Services.\n\nRegister though the UO Libraries' website.
GEO:44.043178;-123.077726
LOCATION:Knight Library\, Knight 267B
SUMMARY:Introduction to Python
URL;VALUE=URI:https://calendar.uoregon.edu/event/introduction-to-python-230
 5
CATEGORIES:Academic
CATEGORIES:Lectures & Presentations
CATEGORIES:Workshop
CATEGORIES:Free
CATEGORIES:Recurring
CATEGORIES:Academic Support
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260520T103300Z
UID:tag:localist.com\,2008:EventInstance_48350731590571
DTSTART:20250210T213000Z
DTEND:20250210T223000Z
DESCRIPTION:UO Libraries hosts a free\, ten-session hybrid workshop in whic
 h you will learn the fundamentals of Python—a programming language that 
 lets you work quickly and integrate systems more effectively—through int
 eractive programming exercises.\n\nDevelop core programming skills that wi
 ll allow you to write Python scripts for your own work. Topics covered inc
 luded basic Python syntax\, Jupyter notebooks\, variables\, data types\, m
 athematical functions\, data structures\, data visualization\, and useful 
 libraries like Pandas. This workshop series follows this Software Carpentr
 ies workshop curriculum\, and you can review all exercises or look ahead b
 y following the link.\n\nThis interactive course is intended for absolute 
 beginners or anyone who wants to review the basics. No experience required
 !\n\nBefore the workshop\, please install JupyterLab so you can code along
 . Our first day will be focused on helping with installations\, and testin
 g that your installation works. If you have any questions\, run into troub
 le\, or would like to use a different installation (such as Anaconda\, Spy
 der\, JetBrains\, VSCode)\, please schedule a quick appointment with Data 
 Services.\n\nRegister though the UO Libraries' website.
GEO:44.043178;-123.077726
LOCATION:Knight Library\, Knight 267B
SUMMARY:Introduction to Python
URL;VALUE=URI:https://calendar.uoregon.edu/event/introduction-to-python-230
 5
CATEGORIES:Academic
CATEGORIES:Lectures & Presentations
CATEGORIES:Workshop
CATEGORIES:Free
CATEGORIES:Recurring
CATEGORIES:Academic Support
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260520T103300Z
UID:tag:localist.com\,2008:EventInstance_48350731592620
DTSTART:20250212T213000Z
DTEND:20250212T223000Z
DESCRIPTION:UO Libraries hosts a free\, ten-session hybrid workshop in whic
 h you will learn the fundamentals of Python—a programming language that 
 lets you work quickly and integrate systems more effectively—through int
 eractive programming exercises.\n\nDevelop core programming skills that wi
 ll allow you to write Python scripts for your own work. Topics covered inc
 luded basic Python syntax\, Jupyter notebooks\, variables\, data types\, m
 athematical functions\, data structures\, data visualization\, and useful 
 libraries like Pandas. This workshop series follows this Software Carpentr
 ies workshop curriculum\, and you can review all exercises or look ahead b
 y following the link.\n\nThis interactive course is intended for absolute 
 beginners or anyone who wants to review the basics. No experience required
 !\n\nBefore the workshop\, please install JupyterLab so you can code along
 . Our first day will be focused on helping with installations\, and testin
 g that your installation works. If you have any questions\, run into troub
 le\, or would like to use a different installation (such as Anaconda\, Spy
 der\, JetBrains\, VSCode)\, please schedule a quick appointment with Data 
 Services.\n\nRegister though the UO Libraries' website.
GEO:44.043178;-123.077726
LOCATION:Knight Library\, Knight 267B
SUMMARY:Introduction to Python
URL;VALUE=URI:https://calendar.uoregon.edu/event/introduction-to-python-230
 5
CATEGORIES:Academic
CATEGORIES:Lectures & Presentations
CATEGORIES:Workshop
CATEGORIES:Free
CATEGORIES:Recurring
CATEGORIES:Academic Support
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260520T103300Z
UID:tag:localist.com\,2008:EventInstance_48350731593645
DTSTART:20250217T213000Z
DTEND:20250217T223000Z
DESCRIPTION:UO Libraries hosts a free\, ten-session hybrid workshop in whic
 h you will learn the fundamentals of Python—a programming language that 
 lets you work quickly and integrate systems more effectively—through int
 eractive programming exercises.\n\nDevelop core programming skills that wi
 ll allow you to write Python scripts for your own work. Topics covered inc
 luded basic Python syntax\, Jupyter notebooks\, variables\, data types\, m
 athematical functions\, data structures\, data visualization\, and useful 
 libraries like Pandas. This workshop series follows this Software Carpentr
 ies workshop curriculum\, and you can review all exercises or look ahead b
 y following the link.\n\nThis interactive course is intended for absolute 
 beginners or anyone who wants to review the basics. No experience required
 !\n\nBefore the workshop\, please install JupyterLab so you can code along
 . Our first day will be focused on helping with installations\, and testin
 g that your installation works. If you have any questions\, run into troub
 le\, or would like to use a different installation (such as Anaconda\, Spy
 der\, JetBrains\, VSCode)\, please schedule a quick appointment with Data 
 Services.\n\nRegister though the UO Libraries' website.
GEO:44.043178;-123.077726
LOCATION:Knight Library\, Knight 267B
SUMMARY:Introduction to Python
URL;VALUE=URI:https://calendar.uoregon.edu/event/introduction-to-python-230
 5
CATEGORIES:Academic
CATEGORIES:Lectures & Presentations
CATEGORIES:Workshop
CATEGORIES:Free
CATEGORIES:Recurring
CATEGORIES:Academic Support
END:VEVENT
BEGIN:VEVENT
DTSTAMP:20260520T103300Z
UID:tag:localist.com\,2008:EventInstance_48350731595694
DTSTART:20250219T213000Z
DTEND:20250219T223000Z
DESCRIPTION:UO Libraries hosts a free\, ten-session hybrid workshop in whic
 h you will learn the fundamentals of Python—a programming language that 
 lets you work quickly and integrate systems more effectively—through int
 eractive programming exercises.\n\nDevelop core programming skills that wi
 ll allow you to write Python scripts for your own work. Topics covered inc
 luded basic Python syntax\, Jupyter notebooks\, variables\, data types\, m
 athematical functions\, data structures\, data visualization\, and useful 
 libraries like Pandas. This workshop series follows this Software Carpentr
 ies workshop curriculum\, and you can review all exercises or look ahead b
 y following the link.\n\nThis interactive course is intended for absolute 
 beginners or anyone who wants to review the basics. No experience required
 !\n\nBefore the workshop\, please install JupyterLab so you can code along
 . Our first day will be focused on helping with installations\, and testin
 g that your installation works. If you have any questions\, run into troub
 le\, or would like to use a different installation (such as Anaconda\, Spy
 der\, JetBrains\, VSCode)\, please schedule a quick appointment with Data 
 Services.\n\nRegister though the UO Libraries' website.
GEO:44.043178;-123.077726
LOCATION:Knight Library\, Knight 267B
SUMMARY:Introduction to Python
URL;VALUE=URI:https://calendar.uoregon.edu/event/introduction-to-python-230
 5
CATEGORIES:Academic
CATEGORIES:Lectures & Presentations
CATEGORIES:Workshop
CATEGORIES:Free
CATEGORIES:Recurring
CATEGORIES:Academic Support
END:VEVENT
END:VCALENDAR