-Python * numpy * scipy * pandas * django -Hadoop -javascript * jquery * angularjs (learning) * momentjs -Posgresql -twitter bootstrap
Angularjs seems to being solving this making it much more like building desktop UI right?
11–20 of 27 posts
-Python * numpy * scipy * pandas * django -Hadoop -javascript * jquery * angularjs (learning) * momentjs -Posgresql -twitter bootstrap
Angularjs seems to being solving this making it much more like building desktop UI right?
At work: - Verilog 05 At Home: - Java for Android - Perl 5.8.8
Right now, at my corporate job in the insurance industry? scala (notably scalaz is banned so I've had to reimplement the bits of it I need) with a little java; spring, hibernate, wicket; oracle, mule, drools. Tool-wise eclipse, subversion (I use git-svn), twist; jenkins, crucible and I'm just in the process of setting up rundeck to replace the collection of bash scripts that currently do deployment. Sonar is running…
-Python * numpy * scipy * pandas * django -Hadoop -javascript * jquery * angularjs (learning) * momentjs -Posgresql -twitter bootstrap
I would like to find time to learn angularjs too. Seems pretty sleek framework. I've tried meteor stuff and kind of like it, but you still have to write client/server code... Angularjs seems to being solving this making it much more like building desktop UI right?
In this way the backend is responsible for deep validations and making the data as json format for later use.
So in the end :
*Model : data comes from the server json format, becomes jaavscript objects.
*View: HTML, and directives when you need to manipulate the DOM
*Controller (also your services):
->Queries to the API
->Validation (probably duplicate some of your server's side)
->Business logic.
->Rooting of templates.
You might think that there's a duplication, in terms of controls and validation, but the thing is, you should think of it as two separate level : One for your API (could be used for many purposes), Second a robust, fast client side that deals with data.A little Obj C in the evenings and weekends.
Right now, at my corporate job in the insurance industry? scala (notably scalaz is banned so I've had to reimplement the bits of it I need) with a little java; spring, hibernate, wicket; oracle, mule, drools. Tool-wise eclipse, subversion (I use git-svn), twist; jenkins, crucible and I'm just in the process of setting up rundeck to replace the collection of bash scripts that currently do deployment. Sonar is running…
I have a question: I did some experiments with Apache Camel, and you seem much more experienced than me in Java: in your opinion, how does Mule compares with Apache Camel?
Fortran 2003/2008
C++
LaTeX
Sage
Mathematica
Haskell (My initial experiments look promising; ghc+llvm has consistently beaten gcc and gfortran when doing RK4 integration of complicated functions. I'm currently testing array performance with REPA.)
Emacs
Dislin (Looking for a replacement, since it's a real pain to use)
Charm++ (Looks promising, but also seems hard to use.)
MPI
At home: Haskell
Javascript i.e. Ember and jQuery mainly, with some Node.js after work. A little Obj C in the evenings and weekends.
At work (I'm a physics/mathematics guy developing quantum optical simulations): Fortran 2003/2008 C++ LaTeX Sage Mathematica Haskell (My initial experiments look promising; ghc+llvm has consistently beaten gcc and gfortran when doing RK4 integration of complicated functions. I'm currently testing array performance with REPA.) Emacs Dislin (Looking for a replacement, since it's a real pain to use) Charm++ (Looks promi…