Introduction to NumPy for Data Science in Data Science with Python
What is NumPy?
NumPy stands for Numerical Python and is one of the most important libraries used in scientific computing and data science. It provides support for powerful multidimensional arrays and mathematical functions.
Why NumPy is Important
- Fast numerical computation
- Efficient memory usage
- Vectorized operations
- Integration with other libraries like Pandas and Scikit-learn
Installing NumPy
bash
pip install numpy
Basic NumPy Example
python
import numpy as np
arr = np.array([1,2,3,4])
print(arr)
Next Tutorial: Understanding NumPy Arrays
