Python for data science - part 6 - Object-Oriented Programming
Programming is a must-have skill in data science as it provides the means to write dynamic and sophisticated scripts that can handle the whole data pipeline, in addition to the rich collection of libraries that support complex functionalities in mathematics, statistics, data processing, visualization, machine learning, etc. In this programming introduction, Python will be used because it's easy to understand, free to use, supports many libraries, and commonly used among data scientists/analysts.
Topics discussed in this part include:
-What is object-oriented programming?
-Everything in python is an object!
-What does a class consist of?
-How to create an object from a class?
-Practice using python.
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