This 13-video course explores advanced operations in NumPy, a Python library, and covers array operations such as image manipulation, fancy indexing, views, and broadcasting. To take this Skillsoft Aspire course, you should already have basic experience with NumPy arrays, and be comfortable with array creation, indexing and slicing, and applying both aggregate and universal functions to your array data. You will learn about the several options available in NumPy to split arrays. You will learn how to use NumPy to work with digital images, which are multidimensional arrays. Next, learn to manipulate a color image, which is a three-dimensional array using NumPy, and to perform slicing operations to view sections of the image, and how to use SciPy package for image manipulation. Learners explore the concepts of both shallow copies and deep copies in NumPy. You will learn how to use masks, an array of index values, to access multiple elements of an array simultaneously, referred to as Sansi indexing. Finally, this course covers broadcasting to perform operations between mismatched arrays.
Python for Data Science: Advanced Operations with NumPy Arrays