Python for Data Science: Introduction to NumPy for Multi-dimentional Data
Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level
Overview/Description
NumPy is a Python library that works with arrays when performing scientific computing with Python. Explore how to initialize and load data into arrays and learn about basic array manipulation operations using NumPy.

Expected Duration (hours)
1.0

Lesson Objectives Python for Data Science: Introduction to NumPy for Multi-dimentional Data

identify the applications of NumPy
install NumPy and learn how to create basic NumPy arrays
create specialized NumPy arrays
describe how arrays of different shapes and sizes can be displayed
explore the different mathematical operations available when working with arrays
work with functions which apply to each element of an array
retrieve specific parts of an array using row and column indices
describe the options available when iterating over 1-dimensional and multi-dimensional arrays
perform reshape operations on arrays to visualize its contents in different ways
utilize NumPy to perform basic array manipulation

Course Number: it_dspydsdj_01_enus

Expertise Level
Intermediate