Learn about NumPy from scratch. NumPy stands for Numerical Python. Learn about the basics of NumPy needed for Data Science: Different Ways to Create NumPy Arrays, Python List vs NumPy Arrays, Attributes of NumPy Array, Indexing and Slicing NumPy Array, NumPy Axis in Detail, Operations on NumPy Arrays.

Learn about NumPy from scratch

NumPy stands for **Num**erical **Py**thon. NumPy is one of the powerful python libraries that support large multi-dimensional arrays and matrices, along with a collection of high-level mathematical functions to operate on these arrays.

In this article, let’s learn about the basics of NumPy needed for Data Science.

- Different Ways to Create NumPy Arrays
- Python List vs NumPy Arrays
- Attributes of NumPy Array
- Indexing and Slicing NumPy Array
- NumPy Axis in Detail
- Operations on NumPy Arrays.

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