# Python - Introduction to NumPy for Multi-dimensional Data

Python 3    |    Intermediate
• 11 videos | 58m 54s
• Includes Assessment
Rating 4.5 of 543 users (543)
ThisSkillsoft Aspire course explores NumPy, a Python library used in data science and big data. NumPy provides a framework to express data in the form of arrays, and is the fundamental building block for several other Python libraries. For this course, you will need to know basics of programming in Python3, and should also have some familiarity in working with Jupyter notebooks. You will learn how to create NumPy arrays and perform basic mathematical operations on them. Next you will see how to modify, index, slice, and reshape the arrays; and examine the NumPy library's universal array functions that operate on an element-by-element basis. Conclude by learning how to iterate various options through NumPy arrays.

## WHAT YOU WILL LEARN

• 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

## IN THIS COURSE

• Find out how to identify the applications of NumPy.
• 3.  Array Creation - Part 1
In this video, you will install NumPy and learn how to create basic NumPy arrays.
• 4.  Array Creation - Part 2
In this video, you will create specialized NumPy arrays.
• 5.  Printing Arrays
Upon completion of this video, you will be able to describe how arrays of different shapes and sizes can be displayed.
• 6.  Basic Array Operations
In this video, you will learn how to explore the different mathematical operations available when working with arrays.
• 7.  Universal Functions
In this video, you will learn how to work with functions that apply to each element of an array.
• 8.  Indexing and Slicing
In this video, find out how to retrieve specific parts of an array using row and column indices.
• 9.  Iterating Over Arrays
After completing this video, you will be able to describe the options available when iterating over one-dimensional and multi-dimensional arrays.
• 10.  Reshaping Arrays
Find out how to perform reshape operations on arrays to visualize its contents in different ways.
• 11.  Exercise: Python NumPy Array Operations
In this video, learn how to use NumPy to perform basic array manipulation.

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