Hi everyone, welcome my NumPy Tutorial Series! I would like to start this series with a little introduction to NumPy.
What is NumPy
- NumPy is the fundamental package for scientific computing in Python.
- Numpy provides many functions for working in domain of Mathematics, such as Linear Algebra, Fourier Transform, Matrices, etc.
- Rather than use Python array(list), NumPy use ndarray object at its core to boost its performance in calculating heavy task mathematical logic.
- NumPy is the fundamental component of many of today’s data science and artificial intelligence libraries.
Prerequisites
To follow this series, you should know:
- Basic of Python Programming Language
- Basic of Mathematics
Tools
You can use Kaggle to follow along with this series. Kaggle is the world's largest data science community with powerful tools and resources to help you achieve your data science goals. Provide many tools to run data science project, including a tool to run NumPy. Kaggle is free and you can sign up at https://www.kaggle.com/
Thank you for reading this post and I hope you have a nice day!
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