Complete the Python for Data Analysis Numpy Module

[berrli]

The numpy module for the course should include the following: What is numpy?

• An overview of what numpy is and its importance in scientific computing
• importing numpy
• create an array and the basic array operations

Understanding Data Types and Arrays

• Data types in numpy, understanding numpy data types and how they differ from python built in types
• array creation (np.array, np.zeros, np.ones, np.arange, np.linspace)
• array attributes, including array size, shape, memory consumption and data types

Array Indexing and Slicing

• basic indexing
• reshaping and transposing, changing the shape and layout of arrays

Array operations and computations

• array arithmetic, performing array addition, subtraction, multiplication and division
• broadcasting
• aggregations

Sorting and Searching

• sorting arrays and searching for elements
• concatenating, stacking and splitting arrays
• file input / output

[berrli]

This has now been completed covering all of the elements within the specification with some additional elements alongside a final exercise.