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- The Operational Impact of Your Programming Language Choice
Choosing the right programming language for high-performance applications is not just a technical decision—it is an operational cornerstone From talent availability to the maturity of ecosystems and the scalability of solutions, each factor influences the efficiency and success of your project
- How does the choice of programming language impact . . .
Investigating the correlation between programming language selection and algorithmic performance in competitive programming, considering factors like execution speed and ease of
- How does the choice of programming languages help to the . . .
There are many smart ways to work around language issues to make it easier on the developer Code generation, good IDEs, and good practices This however only applies to very general products If you are talking about software that runs close to hardware then choose carefully
- [2410. 05460] Its Not Easy Being Green: On the Energy . . .
We show -- via empirical experiments, improved methodology, and careful examination of anomalies -- that when these factors are controlled for, notable discrepancies in prior work vanish Our analysis suggests that the choice of programming language implementation has no significant impact on energy consumption beyond execution time
- The importance of performance in programming explained
There are several factors that contribute to the performance of a programming language, including the design of the language itself, the efficiency of the compiler or interpreter, and the
- A decision model for programming language ecosystem selection . . .
With the decision model, software engineers can more rapidly evaluate and select programming language ecosystems Having the knowledge in the decision model readily available supports software engineers in making more efficient and effective decisions that meet their requirements and priorities
- How does the choice of programming language affect algorithm . . .
The choice of programming language can significantly impact the efficiency of an algorithm through execution speed, memory usage, and readability The efficiency of an algorithm is often measured in terms of time complexity and space complexity
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