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DTSTART:20240220T093000Z
DTEND:20240220T113000Z
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SUMMARY:RSN - Code Clinic
DESCRIPTION:Code Clinic\n\nStop wasting valuable time trying to code on 
 your own\, get help!\n\nThe RSE group are trialling weekly support sessions 
 for the Lent term (Jan - Mar).   There are run by the RSE team (which is 
 part of the Data Science Institute).  These sessions are open to any 
 researchers at Lancaster University (Academics\, Professional Services\, 
 PDRAs\, and PhD students) to get help with programming problems\, and to 
 get more general advice on best practises for writing code.\n\nAt each 
 session\, members for the RSE team will be on hand to advise\, troubleshoot 
 and suggest ways to improve your computational workflows.\n\nWho are these 
 for?  If you are\n\n\n	Thinking of ways to improve your code?\n	Want to 
 automate a task (e.g: series of scripts)?\n	Unsure of which software tools 
 to use for your project?\n	You have a lot of data and need help 
 organising\, storing\, accessing or visualising it?\n	Need some advice on 
 optimising your code?\n	Want to know whether your code could run faster on 
 multiple cores or GPUs?\n	Want to re-write your code written in one 
 language (e.g: Excel) in another language such as Python?\n	Need help with 
 version control?\n	Want to know more about making your code open and/or 
 citable?\n\n\nthen these are for you and we can help.\n\nWhere?\n\nThe Open 
 Research Lab in the Library\n\nWhen\n\nEvery Tuesday (09:30 - 
 11:30).\n\nBook a slot\n\nWhilst booking is not essential\, it is advised.  
 Sign up for the event on libCal\, and you will be emailed a 20-minute slot 
 in the session.  Non - booked drop-ins will be helped as soon as possible\, 
 but bookings will take priority.\n\nPreparing for your session\n\n\n	Please 
 provide examples of the code you are working on\, if possible. Often the 
 best way to do this is via a “Minimal\, Reproducible Example” 
 (https://stackoverflow.com/help/minimal-reproducible-example) but sometimes 
 this isn’t possible. It is good software engineering practice to share 
 code using collaborative version control (e.g. GitHub) and it is good open 
 research practice to do this publicly\, although these practices are not 
 always possible.\n	Sometimes helping with the problem requires us to 
 understand your data. Sharing data is not always possible. A readme or data 
 dictionary is particularly useful in these situations.\n	Please provide any 
 information you can on the hardware\, operating system\, packages you are 
 using.\n\n\nCancelling your session\n\nIf you cannot attend the session\, 
 please cancel the registration as soon as you can.\n\nAny questions before 
 your session?\n\nIf you have any questions before the session\, or aren't 
 sure if it is suited to you\, the please email us at 
 rse@lancaster.ac.uk\n\nInterested in getting involved?\n\nIf you would like 
 to get involved as a helper\, please contact rse@lancaster.ac.uk\n
LOCATION:Open Research Lab\, Drop-in session
ORGANIZER;CN="Robin Long":MAILTO:r.long@lancaster.ac.uk
CATEGORIES:Events - Data Science Institute (DSI), Events - Doctoral Academy, Events - Research Software Engineering
CONTACT;CN="Robin Long":MAILTO:r.long@lancaster.ac.uk
STATUS:CONFIRMED
UID:LibCal-4122381
URL:https://lancaster-uk.libcal.com/event/4122381
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