Comparison of Scripting Languages Research Paper

Comparison of Scripting Languages - Research Paper Example They are categorized into scientific concerned and general purpose scripting languages. Examples of scientific based one are Matlab and Octave while those of general purpose are python and Perl. However, we are going to compare and contrast Matlab, Python, and Octave scripting languages by analyzing. According to Chapman, Matlab is a computer program enhanced to perform scientific and engineering calculations (2008). It started as a program to calculate matrix mathematics but with time, it improved to a malleable calculating program capable of resolvingbasically any technical difficult. Python is a dynamically, securely, and powerfully typed language. Python offers the clean and easy word order of the prevalent scientific calculating environments, grounded on your preferredhigh-performance FORTRAN, C, and C++ codes (Langtangen, 2008). While Octave is software, same as Matlab that has a well-matched scripting interface. However, Octave image processing purposes are not as broad as tho se provided by Matlab. Python, Matlab, and Octave scripting languages have many things in common. They have no affirmation of variables, and simple and suitable word order that make them easy to use ad to learn. In addition, they easily go together with GUIs, simulation, and visualization. However, Matlab and Octave are more independent languages, while Python requires coupling with several other packages in order to make an environment of reasonable functionality. Federico argues that, dynamic typing is easily found in scripting languages such as Python, while in Matlab and Octave both dynamic and static typing is found (2010). In addition, Python is much stronger programming language compared to Matlab and Octave making it the most convenient to use in computing scientific calculations. However, this python feature makes it to be preferred to by scientists can perform weighty operations compared to Matlab and Octave. The time needed to load and change input files folder of the Mat lab, Octave, and Python differ considerably. Python is the fastest followed by Matlab and Octave respectively. These show that Python can load fastest compared to the other two, however, it is the best in loading. In terms of the power structure examination, Python has the best performance compared to Matlab and Octave. This makes it efficient in the calculation and extremely fast compared to Matlab, though, Octave is the slowest of all. These clearly illustrate that Python programming language is stronger compared to Matlab and Octave. The Python, Matlab, and Octave environments differ considerably. The Python environment is incredibly open and is made in such a way that external tool can be integrated with it. For example, calling a program like FORTRAN from the Python is extremely easier, and the Python borders can take benefit of object- concerned scheme and easy gluing to GUIs, and visualization. However, calculating with FORTRAN from these boarders can be done in either short scripts or interacting full over a Python shell. Therefore, Python interfaces can be used to existing libraries like a way of making your own custom-made environment for resolving predicaments. Conversely, Matlab and Octave environments are not open, therefore, they cannot be easily be integrated with external tools. The characteristic of the toolbox of the Python, Matlab, and Octave also differ according to how can be contained. In Matlab and Octave, the toolbox is mostly characterized by a