Developer: not sure this is going to work... use Python for POC
SVP: Looks great! Ship it!
Developer: but wait...

> On Jan 27, 2020, at 11:05 AM, Michael Jones <michael.jo...@gmail.com> wrote:
> 
> 
> Python, to its credit, has the nice inclusive property of extensible 
> interpreters of being friendly to "hang things" onto just like ornaments on 
> trees. By linking with C/C++-libraries and adding glue/shim code, anything 
> can be used from Python. This facility and interpretive execution (as Eric 
> Johnson observed above) makes it a natural for discovery and trying of 
> things. 
> 
> These virtues may seem less so in eventual deployments, at scale, and in 
> other cases.
> 
>> On Mon, Jan 27, 2020 at 8:48 AM 'Eric Johnson' via golang-nuts 
>> <golang-nuts@googlegroups.com> wrote:
>> 
>>> On Sunday, January 26, 2020 at 10:27:35 PM UTC-8, pentel...@gmail.com wrote:
>>> 
>>> IMHO, golang didn't make a dent on key areas to become a language of choice 
>>> like big data (analytics, complex event processing, etc.) and consequently, 
>>> hot topics like artificial intelligence. Exactly areas where python excels 
>>> today.
>> 
>> At least when it comes to analytics, ML, AI, there are various languages at 
>> play in this space. Python isn't replacing "R" either. I don't think we 
>> should expect that it would either. One of Python's intended strengths for 
>> AI / ML / analytics involves REPL, which is specifically not a targeted 
>> feature of Go. On the other hand, when it comes to situations like the 
>> execution of AI / ML models in performance critical environments, I have 
>> heard / read of anecdotal evidence of teams opting for Go.
>> 
>> The question isn't whether Go making an impact for a specific area, it is 
>> whether it is making an impact where it is appropriate. For that, from what 
>> I see, the answer is overwhelmingly *yes*.
>> 
>> Eric.
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> 
> 
> -- 
> Michael T. Jones
> michael.jo...@gmail.com
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