Python - Introduction to NumPy for Multi-dimensional Data

Python 3    |    Intermediate
  • 11 videos | 58m 54s
  • Includes Assessment
  • Earns a Badge
Rating 4.5 of 543 users 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

  • 2m 6s
  • 2m 11s
    Find out how to identify the applications of NumPy. FREE ACCESS
  • Locked
    3.  Array Creation - Part 1
    6m 52s
    In this video, you will install NumPy and learn how to create basic NumPy arrays. FREE ACCESS
  • Locked
    4.  Array Creation - Part 2
    5m 26s
    In this video, you will create specialized NumPy arrays. FREE ACCESS
  • Locked
    5.  Printing Arrays
    4m 19s
    Upon completion of this video, you will be able to describe how arrays of different shapes and sizes can be displayed. FREE ACCESS
  • Locked
    6.  Basic Array Operations
    8m 10s
    In this video, you will learn how to explore the different mathematical operations available when working with arrays. FREE ACCESS
  • Locked
    7.  Universal Functions
    7m 56s
    In this video, you will learn how to work with functions that apply to each element of an array. FREE ACCESS
  • Locked
    8.  Indexing and Slicing
    6m 17s
    In this video, find out how to retrieve specific parts of an array using row and column indices. FREE ACCESS
  • Locked
    9.  Iterating Over Arrays
    6m 19s
    After completing this video, you will be able to describe the options available when iterating over one-dimensional and multi-dimensional arrays. FREE ACCESS
  • Locked
    10.  Reshaping Arrays
    5m 15s
    Find out how to perform reshape operations on arrays to visualize its contents in different ways. FREE ACCESS
  • Locked
    11.  Exercise: Python NumPy Array Operations
    4m 4s
    In this video, learn how to use NumPy to perform basic array manipulation. FREE ACCESS

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