OOP, Functional and Beyond: Choosing a Programming Style
Programming Paradigms & Type Systems: leave with procedural, OOP and functional solutions to one problem with a typed comparison note.
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What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Why programming paradigms & type systems matters — the common problem: Developers force every problem into one style and fight the type system instead of using it.
- 2Core concepts in plain language: Procedural programming, object-oriented programming, functional programming, declarative programming, logic programming, reactive programming
- 3Going further: event-driven programming, static and dynamic typing, generics, polymorphism, immutability, composition
- 4Framework walkthrough: Problem Decomposition, Read–Run–Modify Practice, Debugging Method (reproduce, isolate, fix, verify)
- 5Practical workflow, built live: Procedural, OOP and functional solutions to one problem with a typed comparison note.
- 6How to measure it: Working programs, Bugs found before review, Time to diagnose a failure
- 7An illustrative case (a fictional example, not a client result), then live Q&A on your own situation
Who it's for
- • Students and freshers entering tech
- • Working developers and engineers
- • Tech leads and architects
You'd leave with
- Procedural, OOP and functional solutions to one problem with a typed comparison note.
- A working understanding of Problem Decomposition and Read–Run–Modify Practice
- A short list of measures to track: Working programs, Bugs found before review, Time to diagnose a failure
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