ferdterguson

> It still takes lot of expensive human work to select the good quality works and proofread /edit/ peer review them etc before it is fit for publishing in a decent journal

Good thing that almost all of that expensive effort is done by volunteer scientist editors and reviewers. I routinely see spelling errors and english errors (going against journal guidelines for British/US english) in scientific literature. I'm convinced publishers do as little proofing as possible.

Pandoc?

In my field, if you get a TT position and play nice, you usually get tenure. But yeah - it's basically all about money. You can't do good research if you don't have solid funding, you don't get solid funding unless you have good research in high impact journals.

One thing they mentioned in the 'left out' section is code review. I'm a researcher in a computation-heavy field and I think that anything I write that is intended to be used in our research group or used by other people should be code reviewed. In my experience, so many codes written by former group members or by senior group members become blackboxes that no one can read or maintain in five years.

Code review for anything more complicated than a script has helped the quality of what I write. It also ensures that there are other people who have at least seen the code that I wrote. Even if they don't fully understand it, they are at least empowered enough to wade through it if need be.

This is more likely to be applied to topology optimization imo

Retain means pay monthly.

> Python in some cases can be 100x slower than C

Yeah, the Python implemented version is. But people doing serious computing in Python that requires speed are doing it with NumPy or even Cython or just straight up calling C/Fortran libraries in Python.

Maybe that's just the language, not the support?

To me the Hardee's burgers are just like Burger King.

I would pay actual dollars for an org-mode spacemacs reference

I understand the GPL, but I personally prefer BSD/MIT and I am disappointed when I come across things I like in the GPL. IMO the GPL is not really 'free'.

On the other hand, the GPL wouldn't make a difference here unless they are actually distributing it and my understanding of LGPL means that they could do whatever they wanted to as long as they use NumPy and don't change it.

Just because the API is bad doesn't mean we should throw money at it. I agree that NumPy might not be the best recipient either. It's hard telling, really.

Personally, I believe the biggest blocker for me is to have good visualization tools. That's ultimately what gets me paid is showing other people my work and getting them to give me money to continue it.

On the core science stack IMO there's numpy, scipy, sympy, matplotlib, pandas and xarray. I probably use it next to least, but I really think sympy is the one that could benefit the most from some funding.

Word has built in diff. Review -> Compare.

It's kind of slow though in my experience. Diffing plain text is amazing. I recently used it to diff a research paper I was peer reviewing that the TeX source was provided for. I felt like a wizard.