This morning I did a standard upgrade to Julia 1.6.2 and loaded the basic packages I use for Data Science. After adding everything, I tried to get started, beginning with the simple statement ‘using CSV’ and got a page of (apparently unresolveable) package dependency issues. Fact: Julia 1.6.2 i…

Thank you for mentioning that you observe this in Jupyter, that clears it up! IJulia itself depends on JSON , which brings in the Parsers problem that’s been observed in the other threads. Since in this case (as @mbauman mentions) the dependencies for the IDE (IJulia/Jupyter) are not seperated from …

[image] compleat: I am not talking about an esoteric, advanced feature here, but the ability of reading and writing data, which should be sacrosanct in any software package like Julia I just wanted to add that Julia is not a software package. It’s a language with standard libraries, which one…

OK, thanks for your thoughts. I guess I am assuming that there is a community that would like to see Julia prosper and grow, giving my thoughts from that point of view. [BTW, I did manage to fix things with CSV by fiddling with some of the comments above.]

Please don’t be overly incendiary. This is a very engaged community who wants to see Julia prosper and grow, and you know this. You’ve previously asked how to gear your courses for success and gotten lots of engagement — and lots of suggestions on how to avoid surprises by distributing a stable an…

[image] compleat: I think one can’t use DataFrames without CSV Strictly speaking that is not what the DataFrames docs say .

[image] mbauman: Please don’t be overly incendiary. I always post with respect for what Julia and the Community is. That said, I do like to convey a sense of urgency when I see it, and I know from experience that in any venture, getting the basics right for the simple things is a “make or …

Another workaround (which I actually like as the main developing workflow for jupyter notebooks) is to use the Jupyter extension inside VSCode, since it does not rely on IJulia, it is able to downgrade Parsers and it works. You can open your notebooks there. [image]

That sounds like a neat idea. I wasn’t aware until this issue arose that IJulia could break dependencies. It also hadn’t occurred to me that the VSCode approach to Jupyter didn’t require IJulia. Thanks.

As many folks mentioned already, we generally don’t have these problems in the Julia extension for VS Code, because we load all the packages that the extension needs to function in a non-standard way, so that user code can then load different versions of the same packages and they can co-exist. Tha…

Oh, and one other point: there is also CSVFiles.jl. We use that extensively in my research group and orbit. The package moves relatively slowly in terms of new features etc, for us that kind of stability is important, so that might be another option to try.

Issues with CSV in Julia 1.6.2

Specific Domains Data

Topic		Replies	Views
CSV.jl fails precompling, TypeError: in Type{...} expression, expected UnionAll, got Type{Parsers.Options} General Usage question , csv	19	3761	December 8, 2021
Precompiling CSV.jl fails General Usage package , error , csv	13	3433	May 9, 2023
Reverting back to avoid precompile errors? New to Julia question	26	2201	September 1, 2021
Julia CSV.read stopped working Data csv	32	3087	April 30, 2022
CSV.read not recognizing "select" keyword Data csv , ijulia	11	945	June 6, 2022

Issues with CSV in Julia 1.6.2

Related topics