Group similar abstract data together so that the code is organized
If we want to perform some methods on a specific data, we call the class and its method
import matplotlib.pyplot as pt
.pyplot is the method of the class matplotlib
Think about it. How do you use linear_model from sklearn. You would call
from sklearn.linear_model import LinearRegression
lm = LinearRegression()
lm.fit()
LinearRegression is a class of linear regression model. Since the .fit() of lm is different from the .fit() of other models, this is where OOP is really useful
TL;DR
What is OOP and why it is important?
Article Link
https://towardsdatascience.com/object-oriented-programming-for-data-scientists-build-your-ml-estimator-7da416751f64
Author
Tirthajyoti Sarkar
Key Takeaways
What is OOP?
Create classes for abstract data
Why should we care about OOP?
.pyplotis the method of the classmatplotlibThink about it. How do you use
linear_modelfromsklearn. You would callLinearRegressionis a class of linear regression model. Since the.fit()oflmis different from the.fit()of other models, this is where OOP is really usefulUseful Tools
Comments/ Questions