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