That's cool but would be more useful if the languages were arranged in order of popularity or clustered by category. Right now they aren't in popularity order nor are obvious couplings like J's and CSS together
I don't think so. I had to purposefully subscribe to far right news sources and block a lot of mainstream media outlets in order to see much right-wing news in my Facebook feed. That trending news feed is still biased left though, I can't change that.
Trump should close the H1-B program, and the EAD program. American workers just don't need it. Also, why are all of our STEM research professorships going to foreigners? That's paid by American tax money, hire American
Our front end guys use it at work. They seem excited about it. It actually makes a lot of sense to me, but I haven't used it myself except for their quick star wars demo when it was first announced.
>Domain specific just talking in statistics and data science. I don't need a webframe work I need to make my report and have the charts work. I also push out my reports in Word and PowerPoint and I can't do that in Python but I can in R with ReportR library (The whole reason why I left Python and Pandas and came to R)
If you are literally only doing that then you are a Data Analyst not a Data Scientist. A Data Analyst takes structured data and writes reports for business people. A Data Scientist structures unstructured data for Data Analysts. So if you are processing large amounts of untabled data (ex. images, text, video, etc) and categorizing or measuring it and storing those categorizations or measurements for future use, then you are a data scientist. But if you are taking these categorizations and measurements and making reports out of them then you are a data analyst.
>I don't need a webframe work I need to make my report and have the charts work.
Data Scientists write algorithms and so to make these algorithms available to other people you need some sort of way for them to use it, the simplest being to through an API endpoint in front of it where people can send their input and a data scientist responds with their output.
Also the article you cited from datasciencecentral reinforces exactly what I was saying.
And for the kdnuggets article I am disputing their only claim why they think R is better, that R makes it easier to zoom through 1000 variations of linear regression for your reports. If you write a report where every graph has a different variation of linear regression then your partners are not going to have any confidence in your results or that you know what you're doing. So say you are a good data analyst that knows which linear regression you are actually using, then you're not getting any of the benefits from R but still have all its limitations.
DL is over hyped. This idea that people from a few AI labs are producing everything is basically SF VCs sniffing the farts of AI departments near SF telling them that only their labs and the labs of a few friends are magically producing pixie dust. It must be nice to be so well connected. When the bubble pops very soon, 1 year on a 500k salary will have been enough for them anyway.
What are you going to do with your extra money, sleep, and free time? You don't have to worry about the dating pool when you are married, something you should couple with who you are having sex with. Also the dating pool shrinks with age regardless. On ability to travel: most people eat sleep go to work go to the bathroom and spend time with their families (another reason the dating pool shrinks so significantly). And I don't know what kind of peace of mind you get by living for your own pleasure. If you're not dedicated to raising others up, either your kids or in some kind of missionary work, then not really sure you can say you're living your life and are doing anything worthwhile.
>I make a point and people have to attack that that the language is pointless when it is the number one language in that domain, which just happened the last two years.
That's not true though, R doesn't have anywhere near the ecosystem that Python does for Natural Language Processing, Web Frameworks, Machine Learning, Computer Algebra and Symbolic Reasoning, Systems Programming, Image Processing, Document Processing, and other things I don't know about but if I needed something else then I can use Python confidently that there will be good packages for them with a community around it.
The entirety of R's unique mindshare is that it has a million variations on linear regression and contingency table tests. And frankly they're all so simple to implement that if you can't be bothered to learn how to implement it in 2 lines of Python then you probably don't know what your program is actually doing.
R is something that caught on because it made its statistics package top-level, saving keystrokes for statistics and bio-statistics professors who never needed anything else and didn't know how to otherwise program. It's unique syntax has lead their poor students to have to learn C-family syntax many years after they could have been working and being productive with it.
Now some companies are accommodating R for their entry-level data scientist positions in order to hire cheaper help that can't find better options, but their skills are limited by being disconnected from the rest of the programming world in both packages and syntax.
Yes, journalism is just stage writing where the play is strung together by selectively taking quotes from people and putting them out of context into a sequential order that makes it look as if it were caused by a preconceived narrative.