Computer programming is the core of computer science curriculum. Several programming languages have been used to teach the first course in computer programming, and such languages are referred to as first programming language (FPL). The pool of programming languages has been evolving with the development of new languages, and from this pool different languages have been used as FPL at different times. Though the selection of an appropriate FPL is very important, yet it has been a controversial issue in the presence of many choices. Many efforts have been made for designing a good FPL, however, there is no ample way to evaluate and compare the existing languages so as to find the most suitable FPL. In this article, we have proposed a framework to evaluate the existing imperative, and object oriented languages for their suitability as an appropriate FPL. Furthermore, based on the proposed framework we have devised a customizable scoring function to compute a quantitative suitability score for a language, which reflects its conformance to the proposed framework. Lastly, we have also evaluated the conformance of the widely used FPLs to the proposed framework, and have also computed their suitability scores.
Aluminum alloys are used to make wheels that are suitable for aeroplanes and automobiles, as well as all types of ground vehicles and watercraft. Aluminum alloys are made through melting, sintering (assembly of formed parts utilizing metal particles that melt together at intense temperatures), or mechanical braiding. Aluminum alloys have had a major impact on aeroplane manufacturing. Aluminum alloys like AA7075 and AA7072 are especially useful in transportation applications including maritime, aviation, and automotive, and are also utilized in the construction of bicycles, glider rock climbing equipment, and planes. This attempt sheds light on the magnetically influenced methanol-based micropolar nanofluid containing aluminum alloy nanoparticles (AA7075) over a variable thickened stretching sheet. A variable magnetic field is applied normal to the flow direction. The flow is considered at a stagnation point. Also, the Joule heating impact is considered in this analysis. The similarity transformations are used for the transformation of partial differential equations into ordinary differential equation. The authors have chosen to solve the proposed model with the help of NDSolve technique which can handle a wide range of ordinary and partial differential equations (ODEs and PDEs). The results showed that, as the volume fraction of AA7075 nanoparticles grows the velocity profile of the AA7075–methanol nanofluid decreases, while the microrotation and temperature profiles of the AA7075–methanol nanofluid increases. The velocity profile of the AA7075–methanol nanofluid reduces, while the microrotation and temperature profiles of the AA7075–methanol nanofluid increase with the increasing magnetic parameter. The growing micropolar parameter augments the velocity and temperature profiles of the AA7075–methanol nanofluid, whereas a dual impact of the micropolar parameter is found against the microrotation profile of the AA7075–methanol nanofluid. The growing variable wall thickness factor augments the velocity, microrotation and temperature profiles of the AA7075–methanol nanofluid. It is found that the embedded factors highly affected the AA7075–methanol nanofluid as compared to methanol fluid.
Aluminum alloys are used to make wheels that are suitable for aeroplanes and automobiles, as well as all types of ground vehicles and watercraft. Aluminum alloys are made through melting, sintering (assembly of formed parts utilizing metal particles that melt together at intense temperatures), or mechanical braiding. Aluminum alloys have had a major impact on aeroplane manufacturing. Aluminum alloys like AA7075 and AA7072 are especially useful in transportation applications including maritime, aviation, and automotive, and are also utilized in the construction of bicycles, glider rock climbing equipment, and planes. This attempt sheds light on the magnetically influenced methanol-based micropolar nanofluid containing aluminum alloy nanoparticles (AA7075) over a variable thickened stretching sheet. A variable magnetic field is applied normal to the flow direction. The flow is considered at a stagnation point. Also, the Joule heating impact is considered in this analysis. The similarity transformations are used for the transformation of partial differential equations into ordinary differential equation. The authors have chosen to solve the proposed model with the help of NDSolve technique which can handle a wide range of ordinary and partial differential equations (ODEs and PDEs). The results showed that, as the volume fraction of AA7075 nanoparticles grows the velocity profile of the AA7075–methanol nanofluid decreases, while the microrotation and temperature profiles of the AA7075–methanol nanofluid increases. The velocity profile of the AA7075–methanol nanofluid reduces, while the microrotation and temperature profiles of the AA7075–methanol nanofluid increase with the increasing magnetic parameter. The growing micropolar parameter augments the velocity and temperature profiles of the AA7075–methanol nanofluid, whereas a dual impact of the micropolar parameter is found against the microrotation profile of the AA7075–methanol nanofluid. The growing variable wall thickness factor augments the velocity, microrotation and temperature profiles of the AA7075–methanol nanofluid. It is found that the embedded factors highly affected the AA7075–methanol nanofluid as compared to methanol fluid.
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