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  • With a small development team, how do you organize second-level support?

    - by Lenny222
    Say, you have a team of 5 developers and your inhouse customers demand a reasonable support availability of say 5 days a week, 9am-6pm. I can imagine the following scenarios: the customers approach the same guy, every time. Downside: single point of failure, if the guy is unavailable. each developer is assigned one week of support duty. Downside: how to you distribute the work evenly in times of planned (vacation) and unplanned (sickness) unavailability? each developer is assigned one day of support duty. Downside: similar to above, but not as bad. a randomly picked developer handles the support request. Downside: maybe not fair, see above. What is your experience?

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  • Inspirational software for end-users written in Haskell?

    - by Lenny222
    I think great technology ist invisible. Besides the usual suspects (GHC, Xmonad, proprietary trading software) what great examples are there for end-user software written in Haskell? I think good examples are FreeArc, Hledger and "Nikki And The Robots". Do you have more examples (full blown GUI apps, small CLI tools, etc)? Edit: For example i am fascinated by Wings3D, because while written in Erlang, users can not tell that. It just works. Among Haskell's weak spots are cross-platform GUIs. There are not many GUI apps written in Haskkel in general and most of them are no easy to use, install or even compile. What are good examples to learn from how to make hard things look easy?

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  • Spreadsheet or writing an application?

    - by Lenny222
    When would you keep simple to medium-complex personal calculations in a spread sheet (Excel etc) and when would you write a small program or script for it? For example when you want to calculate what size of mortgage you can afford to buy a house. I could create a spreadsheet and have a nice tabular representation. On the other hand, if i would write a small script in a nice language (in my case Haskell), i'd have the security of a nice type system, preventing typos etc. What are the pro/cons in your opinion?

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  • How to fix the copy/paste-pattern?

    - by Lenny222
    Where i work, people (consultants) feel pressed to release features as fast as possible. So instead of spending too much time on thinking about how to do things the right way or because they don't want to break anything, code gets copied from different modules and modified. It's not easy to prevent this, since the code base is open to the whole company. Lots of people work on this. Now that the mess is there already, what is the best way to remove those redundancies without breaking too much?

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  • How to do pragmatic high-level/meta-programming?

    - by Lenny222
    Imagine you have implemented the creation of a nice path-based star shape in Lisp. Then you discover Processing and you re-implement the whole code, because Processing/Java/Java2D is different. Then you want to tinker with libcinder, so you port your code to C++/Cairo. You are (re)writing a lot of boiler plate code, while the actual requirement "create a star shape" (or "create a path, moveto x y, lineto x y") has not changed. What are the options to encapsulate those implementation details? Some sort of pragmatic meta-programming? Maybe an expert system? How would you define your core business logic as language-independent as possible?

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  • Is Python Interpreted or Compiled?

    - by crodjer
    This is just a wondering I had while reading about interpreted and compiled languages. Ruby is no doubt an interpreted language, since source code is compiled by an interpreter at the point of execution. On the contrary C is a compiled language, as one have to compile the source code first according to the machine and then execute. This results is much faster execution. Now coming to Python: A python code (somefile.py) when imported creates a file (somefile.pyc) in the same directory. Let us say the import is done in a python shell or django module. After the import I change the code a bit and execute the imported functions again to find that it is still running the old code. This suggests that *.pyc files are compiled python files similar to executable created after compilation of a C file, though I can't execute *.pyc file directly. When the python file (somefile.py) is executed directly ( ./somefile.py or python somefile.py ) no .pyc file is created and the code is executed as is indicating interpreted behavior. These suggest that a python code is compiled every time it is imported in a new process to crate a .pyc while it is interpreted when directly executed. So which type of language should I consider it as? Interpreted or Compiled? And how does its efficiency compare to interpreted and compiled languages? According to wiki's Interpreted Languages page it is listed as a language compiled to Virtual Machine Code, what is meant by that? Update Looking at the answers it seems that there cannot be a perfect answer to my questions. Languages are not only interpreted or only compiled, but there is a spectrum of possibilities between interpreting and compiling. From the answers by aufather, mipadi, Lenny222, ykombinator, comments and wiki I found out that in python's major implementations it is compiled to bytecode, which is a highly compressed and optimized representation and is machine code for a virtual machine, which is implemented not in hardware, but in the bytecode interpreter. Also the the languages are not interpreted or compiled, but rather language implementations either interpret or compile code. I also found out about Just in time compilation As far as execution speed is concerned the various benchmarks cannot be perfect and depend on context and the task which is being performed. Please tell if I am wrong in my interpretations.

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