Coding in non CS fields

University courses Mathematics & Computing
1

Programming is leveraged by people in numerous industries outside of computer science and tech. It can be used for many different tasks to overall improve efficiency and efficacy. Here are different ways that professionals in different industries can leverage computer science and programming.

  • Automating advanced engineering and statistical mechanics calculations for engineers - engineers have many calculations to carry out, leading them to use enterprise software to accurately calculate, however some engineers will also write their own code to solve other problems, typically MatLab, although Python can also be used

  • Data analysis automation for supply chain management professionals, logisticians, procurement specialists, etc - given that a lot of data is involved in SCM work, SCM professionals can absolutely leverage programming, usually Python, to automate data analysis and data management tasks, drastically reducing the need for calculations by hand

  • Scientists developing simulations and models - application of various libraries in different languages can be used to provide simulations for various chemical, physical, biological, biochemical, etc, processes, which is useful for visualisation and augmenting their work

  • Social scientists can use programming for application of statistical research methods - given that social scientist researchers examine vast swathes of data to support their research, they typically automate this processing of data through data science, commonly Python

  • Psychologists also use programming for data analysis - given the complexity of data they need to work with, usage of data science can simplify their tasks

  • Economists, accountants, financiers typically use statistical, econometric and data science techniques for analysis of the data they work with - there are many libraries which apply economic models, trading algorithms, etc, which can be leveraged effectively

Overall, there are different ways that professionals outside of computer science and tech, can leverage programming to make their work more efficient, through various languages and libraries.

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