In various non computer science / electrical and engineering degrees, there is an element of programming, for example in economics, statistics or engineering. This is as programming can be used to enhance and automate certain tasks, including and rather importantly where large numbers are involved. Here are some of the most useful languages that can help non CS or EE students:
Matlab - a mathematical based language
R - a language offering a wide range statistical capabilities
Python - a varied, diverse and beginner friendly language, which is used for statistics, data science, machine learning, AI, web development, etc
Wolfram Mathematica - a mathematical programming language with applications in a large range of fields, including chemical engineering, automotive engineering, econometrics, etc
Various reasons, for example if you have a lot of data in your job that requires processing, it would be easier to write a script rather than doing it manually. Automation of certain tasks is another reason, for example if there are a lot of documents to handle, scripts can make this easier to deal with.
I totally agree! It’s interesting to see how programming has become a valuable skill in various non-computer science and engineering fields. I’ve personally found Python to be super versatile and beginner-friendly, especially for tasks in data science. It’s great that programming is becoming a useful tool across different disciplines!"
