If you have decided to learn Python as your programming language.
“What are the different Python libraries available to perform data analysis?”
This will be the next question in your mind. There are many libraries available to perform data analysis in Python. Don’t worry; you don’t have to learn all of those libraries. You have to know only five Python libraries to do most of the data analysis tasks. I will give a short introduction to each of these libraries, and I will point you to some of the best tutorials to learn them.
So let’s get started,
It is the foundation on which all higher level tools for scientific Python are built. Here are some of the functionalities it provides:
- N- Dimensional array, a fast and memory efficient multidimensional array providing vectorized arithmetic operations.
- You can apply standard mathematical operations on arrays of entire data without writing loops.
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