Search results
Results From The WOW.Com Content Network
This comparison of programming languages compares how object-oriented programming languages such as C++, Java, Smalltalk, Object Pascal, Perl, Python, and others manipulate data structures. Object construction and destruction
Python: Application, general, web, scripting, artificial intelligence, scientific computing Yes Yes Yes Yes Yes Yes Aspect-oriented De facto standard via Python Enhancement Proposals (PEPs) R: Application, statistics Yes Yes Yes Yes No Yes No Racket: Education, general, scripting Yes Yes Yes Yes No Yes Modular, logic, meta No Raku
Java memory use is much higher than C++'s memory use because: There is an overhead of 8 bytes for each object and 12 bytes for each array [61] in Java. If the size of an object is not a multiple of 8 bytes, it is rounded up to next multiple of 8. This means an object holding one byte field occupies 16 bytes and needs a 4-byte reference.
Source code and memory serial and parallel debugger C++, C, CUDA, FORTRAN, MPI, OpenMP Linux, AIX, Solaris, OS X, Cray, Blue Gene [1] Yes (Memory debugger) Yes Proprietary: 2016.07, Nov 2016 Undo LiveRecorder: 1998 Source code and memory serial and parallel time travel debugger [2] C++, C, Go, Rust, Java Linux: Yes (Memory debugger) Yes Proprietary
is how one would use Fortran to create arrays from the even and odd entries of an array. Another common use of vectorized indices is a filtering operation. Consider a clipping operation of a sine wave where amplitudes larger than 0.5 are to be set to 0.5. Using S-Lang, this can be done by y = sin(x); y[where(abs(y)>0.5)] = 0.5;
Performance profiler. Shows I/O, communication, floating point operation usage and memory access costs. Supports multi-threaded and multi-process applications - such as those with MPI or OpenMP parallelism and scales to very high node counts. Proprietary CodeAnalyst by AMD: Linux, Windows C, C++, Objective C .NET, Java (works at the executable ...
Rust supports optional reference counting, but manual memory management is preferred. Scala normally manages the memory automatically in its JVM and JavaScript targets. However, the LLVM-based Scala Native compiler supports the use of pointers, as well as C-style heap allocation (e.g. malloc, realloc, free) and stack allocation (stackalloc). [23]
Python uses the following syntax to express list comprehensions over finite lists: S = [ 2 * x for x in range ( 100 ) if x ** 2 > 3 ] A generator expression may be used in Python versions >= 2.4 which gives lazy evaluation over its input, and can be used with generators to iterate over 'infinite' input such as the count generator function which ...