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diff --git a/doc/source/user/quickstart.rst b/doc/source/user/quickstart.rst index 05a247f8a..dd824e14b 100644 --- a/doc/source/user/quickstart.rst +++ b/doc/source/user/quickstart.rst @@ -21,6 +21,24 @@ If you wish to work the examples in this tutorial, you must also have some software installed on your computer. Please see https://scipy.org/install.html for instructions. +**Learner profile** + +This tutorial is intended as a quick overview of +algebra and arrays in NumPy and want to understand how n-dimensional +(:math:`n>=2`) arrays are represented and can be manipulated. In particular, if +you don't know how to apply common functions to n-dimensional arrays (without +using for-loops), or if you want to understand axis and shape properties for +n-dimensional arrays, this tutorial might be of help. + +**Learning Objectives** + +After this tutorial, you should be able to: + +- Understand the difference between one-, two- and n-dimensional arrays in + NumPy; +- Understand how to apply some linear algebra operations to n-dimensional + arrays without using for-loops; +- Understand axis and shape properties for n-dimensional arrays. .. _quickstart.the-basics: |