[REVIEW]: Scientific programming in Julia - An introductory course

[editorialbot]

Submitting author: @AndreasKuhn-ak (Andreas Kuhn)
Repository: https://github.com/AndreasKuhn-ak/WS2022_Julia
Branch with paper.md (empty if default branch):
Version: V1.0.0
Editor: @arm61
Reviewers: @jarvist, @gcdeshpande
Archive: Pending
Paper kind: learning module

Status

Status badge code:

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Markdown: [![status](https://jose.theoj.org/papers/f53501246f3b960a2a7bab3797a85546/status.svg)](https://jose.theoj.org/papers/f53501246f3b960a2a7bab3797a85546)

Reviewers and authors:

Please avoid lengthy details of difficulties in the review thread. Instead, please create a new issue in the target repository and link to those issues (especially acceptance-blockers) by leaving comments in the review thread below. (For completists: if the target issue tracker is also on GitHub, linking the review thread in the issue or vice versa will create corresponding breadcrumb trails in the link target.)

Reviewer instructions & questions

@jarvist & @gcdeshpande, your review will be checklist based. Each of you will have a separate checklist that you should update when carrying out your review.
First of all you need to run this command in a separate comment to create the checklist:

@editorialbot generate my checklist

The reviewer guidelines are available here: https://openjournals.readthedocs.io/en/jose/reviewer_guidelines.html. Any questions/concerns please let @arm61 know.

✨ Please start on your review when you are able, and be sure to complete your review in the next six weeks, at the very latest ✨

Checklists

@jarvist, please create your checklist typing: @editorialbot generate my checklist

@gcdeshpande, please create your checklist typing: @editorialbot generate my checklist

[editorialbot]

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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.09 s (424.4 files/s, 602629.2 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
CSV                              5              1              0          37679
Jupyter Notebook                18              0          10687           1974
TOML                             2            254              1           1156
TeX                              1             18              0            261
Julia                            2             43             20            201
Markdown                         2             91              0            121
YAML                             1              1              4             18
JSON                             6              0              0              6
-------------------------------------------------------------------------------
SUM:                            37            408          10712          41416
-------------------------------------------------------------------------------

Commit count by author:

    98	AndreasKuhn-ak
    15	Sabine Fischer
     6	Kilian Volmer
     2	HackMD

[editorialbot]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

OK DOIs

- 10.1038/d41586-019-02310-3 is OK
- 10.1137/141000671 is OK
- 10.48550/arXiv.1209.5145 is OK
- 10.1016/j.cosrev.2020.100254 is OK
- 10.48550/arXiv.2109.09973 is OK
- 10.1016/j.cpc.2018.02.004 is OK
- 10.21105/joss.03349 is OK
- 10.1002/mrm.28792 is OK
- 10.1007/s10614-020-09983-3 is OK
- 10.1371/journal.pone.0209358 is OK
- 10.48550/arXiv.2211.02740 is OK
- 10.48550/arXiv.2212.07293 is OK
- 10.21105/joss.03349 is OK

MISSING DOIs

- No DOI given, and none found for title: How to solve the same numerical Problem in 7 diffe...
- No DOI given, and none found for title: Julia Language Delivers Petascale HPC Performance
- No DOI given, and none found for title: Julia Micro-Benchmarks

INVALID DOIs

- None

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 1166

✅ The paper includes a Statement of need section

[editorialbot]

License info:

🟡 License found: Other (Check here for OSI approval)

[editorialbot]

👉📄 Download article proof 📄 View article proof on GitHub 📄 👈

[arm61]

It looks to me that the license for the code is MIT and the license for the material is CC-SA-4.0. Can you confirm this @AndreasKuhn-ak?

[arm61]

Okay, we are ready to roll!

@jarvist and @gcdeshpande, thanks for agreeing to review this exciting work! If you work through the checklist and there are any problems/comments about the material, I recommend opening an issue on the material repository, and the authors can sort them out. More information about the review guidelines can be found on the Open Journals documentation pages: https://openjournals.readthedocs.io/en/jose/reviewer_guidelines.html

If anyone has any questions, ping me on here!

[AndreasKuhn-ak]

It looks to me that the license for the code is MIT and the license for the material is CC-SA-4.0. Can you confirm this @AndreasKuhn-ak?

Yes, that is correct.