In this lesson, you'll learn the fundamentals of NumPy. NumPy stands for Numerical Python and is a Python package that can be used for numerical computing. Numpy is at the center of most Python libraries for data science and machine learning.
More specifically, you'll:
- Learn how to import and use the NumPy library
- Learn about n-dimensional arrays, the core data structure of NumPy
- Learn how to manipulate 1-dimensional and 2-dimensional arrays
As with all Dataquest lessons, this is an interactive learning experience. You'll be writing real Python code and using NumPy in our browser-based coding environment so there's no setup and no obstacles between you and learning!
Objectives
Lesson Outline
- Introduction
- Introduction to ndarrays
- Accessing Values in an ndarray
- Slicing ndarrays
- The Slicing Increment
- Copying an ndarray
- Negative Indexes and Steps
- Two Dimensional Arrays
- Slicing Two Dimensional Arrays
- Setting the Slice Value
- Selecting Rows and Columns
- Next Steps