April 2024
Intermediate to advanced
260 pages
6h 22m
English
Content preview from Software Engineering for Data Scientists
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Chapter 4. Object-Oriented Programming and Functional Programming
In this chapter, I want to introduce you to two styles of programming that you’ll likely encounter in your data science career: object-oriented programming (OOP) and functional programming (FP). It’s extremely helpful to have an awareness of both. Even if you don’t ever write code in either of these styles, you’ll encounter packages that use one or other of them extensively. These include standard Python data science packages such as pandas and Matplotlib. I’d like to equip you with an understanding of OOP and FP so that you can use the code you encounter more effectively.
OOP and FP are programming paradigms based on underlying computer science principles. Some programming languages support only one of them or strongly favor one over the other. For example, Java is an object-oriented language. Python supports both. OOP is more popular as an overall style in Python, but you’ll also see the occasional use of FP.
These styles also give you a framework for ways to break down your code. When you’re writing code, you could just write everything you want to do as one single long script. This would still run just fine, but it’s hard to maintain and debug. As discussed in Chapter 1, it’s important to break code down into smaller chunks, and both OOP and FP can suggest good ways to do this.
In my code, I don’t stick strictly to the principles of either functional or object-oriented programming. I sometimes define my own ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.