I am writing a data processing and analysis pipeline for my dissertation. I thought it would be entertaining to re-write a few tiniest bits of my Python code in older languages, like COBOL or LISP, so that I can cite them in future publications. (And it would be fun to write a few lines of code in them!)By the "tiniest bits" I mean even just saving a list of all files in a directory to a text file, concatenating multiple files, or renaming them.Questions:1) Would you have any recommendations on what languages would be easy to set up and use (I am on Windows 10)?2) What tasks would those languages be best for?The pipeline:- configures data collection protocol by interacting with Firebase Realtime Database (NoSQL)- fetches collected data from Firebase Storage every day (thousands of tiny CSV files)- backs up the data- decrypts the files and transforms the data (multidimensional time-series) across multiple files to prepare for analysis and visualization- computes various metrics based on the data and visualizes them (the end goal is to have a data monitoring dashboard with alerts)- re-configures data collection protocol based on the metricsP.S. If any seasoned engineer would be willing to very occasionally give me - a grad student - some pointers on best software development practices, I'd love to hear back from you. I am primarily self-taught, so I am surely doing many things incorrectly.