41–50 of 62 posts
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believe it or not, there are some people who know R and face overhead to learn Python. and they love ggplot2. and frankly, Python has no libraries for interactive visualization in your browser because only JavaScript runs there. etc.
Python has no libraries for interactive visualization in your browser because only JavaScript runs there Isn't that like saying that C has no visualization libraries on Intel processors because only assembly runs there?
I'm surprised the article doesn't mention Anaconda, which is Python with all the things he lists pre-installed for you. I've been a fan for some time now: https://www.continuum.io/why-anaconda
Of course, there's time and place for eschewing Anaconda, especially if you are trying to ensure your installation and dependencies are minimal. That said, for most data scientists who are workaday *NIX users at best, Anaconda is such a productivity boost.
EDIT: Actually, my analogy needs further qualifications. You _can_ get into dependencies/missing-header-files hell in Ubuntu, but it usually doesn't happen in the first few hour/days. Both Ubuntu and Anaconda have great "first 5 minutes to 5 days" experience, and that goes a long way in ensuring the adoption of underlying technology.
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http://bokeh.pydata.org/en/latest/ "Bokeh is a Python interactive visualization library that targets modern web browsers for presentation." (Of course, it works by generating JavaScript)
right, and in order to really customize what bokeh does you need to write JS in strings in your python code, so this just proves my point. http://bokeh.pydata.org/en/latest/docs/user_guide/interactio... see the CustomJS function.
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You know, I remember when I was trying my first language other than BASIC (VB6, perhaps? or maybe 1995 era JS?) and it bugged me that "x = y" wasn't the same as "y = x". Remembering it as "LET x = y" was helpful.
People have been upset about that since at least the 1950s. A lot of people who make programming languages use the := for the assignment operator instead.
I know what you want to ask next: “Okay, what about turning my model into a nice and shiny web application? I bet this is something that you can’t do in R!” Sorry, but you lose this bet; have a look at Shiny by RStudio A web application framework for R.
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I would always be worried with installing numpy/scipy via pip that I wouldn't be linking to BLAS/LAPACK correctly.
What do you mean? I have always installed via pip with zero errors on all three platforms.
why pick just one language? with the polyglot Beaker Notebook, you can work with many languages, even in the same notebook, and your data is automatically translated between them. each of these languages has its strong point. there is always some library you want to use in some other language. or you want to collaborate with someone. or next year you change your mind and Julia is finally good enough. http://BeakerNot…
However both Beaker and Jupyter lag behind RStudio in raw usability and convenience, especially for plotting. There doesn't seem to be any tool in this vein that "has it all" right now.
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Wheel is a binary distribution, so files would already be compiled and therefore python-dev would not be needed anymore.
Is wheel not default? Or play it elementary :-) how would I avoid this issue in the future?
Anyway I just noticed that PyPI only supports binary packages for Windows and Mac OS X. Although, you could still generate wheels of packages that you use by using something like this:
pip wheel -r requirements.txt
I'm surprised the article doesn't mention Anaconda, which is Python with all the things he lists pre-installed for you. I've been a fan for some time now: https://www.continuum.io/why-anaconda
I'm halfway hoping that I don't know what I'm talking about.
I'm surprised the article doesn't mention Anaconda, which is Python with all the things he lists pre-installed for you. I've been a fan for some time now: https://www.continuum.io/why-anaconda
I have anaconda installed at work/windows and home/linux. One minor annoyance is that it doesn't play well (at all?) with virtualenv. They worked so hard to get a huge suite of off the shelf third party libraries integrated, it's curious that they would come up with a replacement for virtualenv. I'm halfway hoping that I don't know what I'm talking about.
Glad to help :)