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A native Python IDE built for data science

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Re: A native Python IDE built for data science

#41

Earlier quoted context omitted.

Use R! https://cran.r-project.org/web/views/ChemPhys.html https://cran.r-project.org/web/views/Pharmacokinetics.html

I doubt anyone doing data analysis is unfamiliar with R, as it is the current standard. The push to use Python, or Julia, or a version of Lisp (hey, we had that in the 1990s -- us olds remember xlispstat) for data analysis is coming from the people who find R to be a rather unpleasant language. Which is a subjective opinion, obviously, but not an uncommon one.

Learning Functional Programming (I learned Racket) makes R great since it really is a functional language.

Re: A native Python IDE built for data science

#42
post #11

In the last year, my workflow for data science/AI has completely shifted to Jupyter notebooks. Is there any IDE that offers a similar experience?

Jupyter dev here. FYI, we're currently working on building a new Jupyter web interface that resembles a more classic IDE experience, which we are calling JupyterLab. A first version is progressively coming together, and is planned to have code editor and terminal components. We also plan to have a notebook component, like the current notebook, in a later version. Our in-progress work is spread across many repos curre…

Sounds promising, thank you for working on this!

Re: A native Python IDE built for data science

#44
post #24

honest question: what if your science isn't maths/physics/data? I'm a chemist and from what i can see there's @#$@# all out there in FOSS land.

There are some tools out there, for example Open Babel:

http://openbabel.org/wiki/Main_Page

which has some python bindings built in. I set some of this up for myself during my PhD but it was occasionally kind of a pain sometimes to get it to work. Also at the time I was a bit of a noob so there's that :).

It has some nice features for handling chemical structures, I used it mostly for translating one format into another and computing fingerprints, but I think more can be done.

In general I'd agree with @analog31, biology has some good OSS tools, physics has some good OSS tools, but you get to the bridging discipline of chemistry and you find very few. My theory re. organic chemistry and biochemistry applications: it's way more profitable to be closed source. In contrast to the other two fields (gross generalization I know, but somewhat true) there's a very large market for commercial software in Pharma. If someone is willing to pay top dollar, especially an industry that is paranoid about IP and therefore tends to (rightly or wrongly) prefer closed, proprietary solutions, then that's where software will end up.

Re: A native Python IDE built for data science

#47

The UI is obviously inspired by Rstudio for R. And I have zero objections to that; this is something that I've wanted for awhile, after having difficulty with PyCharm for my Python-related data projects. I'll play around with it a bit. As a heads up, the setup workflow assumes you are on OS X, which may be a problem if it asks you to open a Terminal on Windows: http://i.imgur.com/nya50e4.png

Funny enough, I traded in Rstudio for Jupyter notebooks for R, especially for demos to other people since it is much easier to see tables, graphs and such.
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