Lecture
What is NumPy and Why Use It?
NumPy is a Python library that makes working with numerical data faster and more efficient.
It helps you store large datasets compactly and perform mathematical operations at high speed.
Unlike regular Python lists, NumPy provides arrays, which are optimized for numerical computation.
How to Install NumPy
Install NumPy using Pythonโs package manager pip:
Installing NumPy
pip install numpy
How to Import NumPy
You can import NumPy using the import keyword as follows:
Importing NumPy
import numpy as np
npis a common alias fornumpy.
Watch the slide deck for detailed explanations and examples.
Lessons in this chapter ยท NumPy Essentials for Data Analysis
- 1. What is NumPy and Why Use It?
- 2. Creating 1D and 2D Arrays
- 3. Indexing and Slicing Arrays
- 4. Array Arithmetic and Broadcasting
- 5. Boolean Masking and Filtering
- 6. Array Shapes, Axes, and Broadcasts
- 7. Multiple-choice quiz
- 8. Aggregation Functions (sum, mean, std, etc.)
- 9. Array Reshaping and Flattening
- 10. Generating Arrays (arange, linspace, zeros, ones)
- 11. Data Type Conversion and Copying Arrays
- 12. Working with Multidimensional Arrays
- 13. Fill-in-the-blank quiz
Quiz
0 / 1
What is one of the main advantages of using NumPy over Python lists?
NumPy requires more memory storage.
NumPy uses complex syntax that is harder to learn.
NumPy performs faster mathematical operations.
NumPy is only compatible with Python version 3.8.
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