What programming languages do you use?

I have a few web developer friends and they are telling me that AngularJS is the future. They swear by it. I'm currently having a CMS coded with it to see how it fares.
 
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I have a few web developer friends and they are telling me that AngularJS is the future. They swear by it. I'm currently having a CMS coded with it to see how it fares.

AngularJS is kind old news...
AngularJS2 is on the way...

angular is a js framework, not a programming language
 
I do not know is it enough big data, but in some cases regular mysql/pgsql storages becomes slow for my needs. It starts from about 100M entities of data and more. In these cases I use own engine for storage and fast access to data. It is variations of multithread daemon, based on c++, with filtering/grouping/sorting options for data records.

100m is not even close to being bigdata. It starts from 1+PB may be, but certainly not in the mega.. :)
 
100m is not even close to being bigdata. It starts from 1+PB may be, but certainly not in the mega..

Which data you count in PB? Media content? If not media, then there is only several companies who operate such data volumes. Sometimes I use TB(s) of data volume with billions structured records. I'm not goolge to use PB(s) of structured data. May be you, Gogol?
 
Well it could be relational/ non relational/text/media/ or what ever. Bigdata is a subject by itself. Look into it. Wikipedia is your friend. Do g search for things like hadoop, mapreduce and so on after you know what bigdata is.
Which data you count in PB? Media content? If not media, then there is only several companies who operate such data volumes. Sometimes I use TB(s) of data volume with billions structured records. I'm not goolge to use PB(s) of structured data. May be you, Gogol?

The point is, you don't understand what you are saying. Knowing some terms is not enough ;)
 
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I know HTML, CSS, JavaScript, jQuery and MySQL.
Works perfect to realize any web project you like.
 
The point is, you don't understand what you are saying. Knowing some terms is not enough

Your words applicable to you too:

100m is not even close to being bigdata. It starts from 1+PB may be, but certainly not in the mega..

Because you give not very good determination of term 'big data' initially.

Also if you know pair of technologies like "hadoop, mapreduce" it does not mean anything. I've seen guys on conference who use these technologies for 30 millions records datasets which can be easy processed with regular DB technologies, but it was "BIGDATA" as they say because "hadoop cluster and mapreduce".
 
Python, syntax is clean, easy to debug, lots of libraries... cross platform.. very powerful, great community
 
Java mostly (but converting desktop apps to native code apps, so they are not Java anymore).

For Web: PHP, Javascript, HTML, CSS

Familiar with tons of other :)
 
PHP and HTML are the best languages.
These are also easier languages to learn rather than other languages. There are many online tutorials to teach these languages for free.
 
:cool:
Perl, Go, C, Javascript, PHP, Prolog, Bash Shell

That's quite a list, it would take some time to specialize in all of them. Better to just focus on one, like C rather than focus on all them equally. !
 
Fullstack Java dev, so Java, SQL, javascript, css, html. Ninja with bash. Like a bit of C# from time to time too.
 
IMO AngularJS is suitable for some kind of website like mobile/web app, it just too complex for simple things like a brochure web.
 
Mainly FreePascal (Lazarus - OpenSource crossplatform analog of Delphi), also is PHP, JavaScript, SQL. Here is my set
 
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