π’ Results for yesterday's poll are in everyone! Thank you all for your participation! πThere is so much to talk about, so today, let's start discussing the first question: why have you not tried programming yet? π§
𧡠1/6
Most often (43%), the reason to not learn coding is lack of time. Uff! Having no time is always an issue, trust me! There will never be enough time to do all the things we want
𧡠2/6
But I do think that if there is something that you are interested in, not necessarily learning how to code, there will always be some time here and there to spare
𧡠2.1/6
I am no time manager guru to be honest π , but things that have helped me are to set specific slots to do certain activities that I really want to learn.. The most important thing for me is that they are not a burden but somethign I look forward to! What works for you?
𧡠2.2/6
Next answer: 28% referred to a lack of technical background... this option reminds me of a friend of mine. She is a literature masters student and considers herself not comfortable with computers in general
𧡠3/6
But, she is fascinated by the things one can do, so she decided to join a short intro to Python course. I can only tell you she looked so excited when telling me about how she managed to print 'Hello, world!' to a console that I wanted to hug her tight!
𧡠3.1/6
This story will not end in 'now she is the core developer of numpy', or something like this, but it does end with her feeling very proud of herself for writing her first piece of software! And me proud of her!
𧡠3.2/6
So, give yourself a chance, you never now what can come out of some very simple lessons. Once you get the hang of it, you'll be unstopabble!
𧡠3.3/6
Moving on, I was surprised to see that no one mentioned not being interested in coding. I have the feeling my sample is a bit biased π , but it is really nice to see the enthusiasm!
𧡠4/6
Last option was other reasons. Here I had only one comment with an explanation, saying other people in their team can code faster and better. I can say for my personal experience, I used to have this view as well.
𧡠5/6
However, learning to code helped me to be in control of my analysis and also understand what the rest is doing, by reading their code. It is not about being the better coder, but to be able to keep up with the things that happen in the background
𧡠5.1/6
What motivated you all to start coding? Any other tips for people who are interested but have no time / technical background / motivation?
𧡠6/6
β’ β’ β’
Missing some Tweet in this thread? You can try to
force a refresh
Anyone wants to get started or has used #rspatial and learned from tutorials/courses using packages such as {rgdal} {rgeos} {sp} {raster}? Are you getting used to them already? You might want to reconsider π€
𧡠1/n
For the past few months the R Spatial community of developers and active users has been dealing with the news of the retirement of {rgdal} & {rgeos}
𧡠2/n
For {sp} is a similar story, although still getting maintenance, a migration to {sf} should be mostly preferred for any new developments and implementations
𧡠3/
Hi all π today I would like to talk about #CV tips. Did you know you can create your CV in #rstats? There are so many cool π¦ out there!
I personally use {vitae} with a good range of eye-catching templates to choose from, I highly recommend it!
What I like the most about building my CV in R is that I can organize everything in an R-project, I push to GitHub which gives me track changes and I can use the great advantages of #rmarkdown and #latex. Here is the repo of my #vitae CV github.com/loreabad6/R-CV
I had to modify a bit the .csl file to adapt certain details to my taste, and I included a πΊοΈ of my journey which has had some nice feedback, as it serves as a visual presentation card π
π Today was a great example of how the #rstats community can help getting learning resources! Thank you for all the amazing material about #deeplearning & #reproducibility with R π This feels like a good preamble to the remaining poll results about learning strategies π
With all these materials out there I am now wondering when will I have time to read it all, same with practicing code and the new skills I will learn after going through them!
68% of replies claimed to practice when they have time, but I think this could have been more accurate π
Morning! Let's continue with the polling results, today and get some #learningtips. Here is what people voted for regarding learnings strategies! Not surprisingly, the big majority likes some hands-on exercises, although a mix between theory and practice is also welcome π
π Very few people voted for learning from books about coding, but have you already seen all the resources out there? #rstats has a big pile, and the best way to browse them all is with the Big Book of R #rmarkdown#bookdown bigbookofr.com/index.html
Most of the people like blogs and written content. Well this is the perfect opportunity to point you to the #RLadies blogs collected by @PipingHotData & @DrMowinckels