Functional programming is most popular among data scientists as it has performance advantage. In simple words, there are 3 different ways to solve the problem in Python. In python, there are mainly 3 programming styles which are Object-Oriented Programming, Functional Programming and Procedural Programming. Without knowing fundamentals of OOP, you would not be able to understand why you write the code in this manner.

You first have to declare your model as an object and then you use a fit method. For example, you are building a regression model using scikit-learn library. All these libraries depend on OOP and its concepts. These libraries were written by experienced python developers to automate or simplify most of tasks related to data science. When it comes to data manipulation and machine learning using Python, it is generally advised to study pandas, numpy, matplotlib, scikit-learn libraries.

It's one of the most common question data scientists have before learning OOP. Most programming languages have to be translated into machine code before the computer can execute the instructions.Do Data Scientists Use Object Oriented Programming? However, a computer cannot run programs written in these languages directly. Programming languages are designed to be easy for a human to understand and write in. For example, in Python all instructions are written in lowercase, but in BASIC they tend to be written in uppercase. Among the most popular languages are:ĭifferent languages work in different ways. There are many different programming languages, some more complicated and complex than others. These instructions tell a computer what to do. The language is made up of series of statements that fit together to form instructions.

What is a programming language?Ī programming language is an artificial language that a computer understands.

If an algorithm has been designed, the computer program will follow this algorithm, step-by-step, which will tell the computer exactly what it should do. To tell a computer to do something, a program must be written to tell it exactly what to do and how to do it. Algorithms can be represented as pseudocode or a flowchart, and programming is the translation of these into a computer program. Programs are created to implement algorithms. Programming is writing computer code to create a program, to solve a problem.

Examples of programs written in python