This Python NumPy: Scientific Computing with Python course provides a thorough understanding of NumPy’s features and when to use them.
NumPy is mainly used in matrix computing. We’ll do a number of examples specific to matrix computing, which will allow you to see the various scenarios in which NumPy is helpful. There are a few computational computing libraries available for Python. It’s important to know when to choose one over the other. Through rigorous exercises, you’ll experience where NumPy is powerful and develop an understanding of the scenarios in which NumPy is most useful.
- Express fully why NumPy should be used
- Ability to install NumPy
- Understanding of how to use NumPy
Brett has written desktop applications in languages running from Delphi to C# winforms/WPF, as well as built ASP.NET webforms and MVC based applications. When the iOS SDK was first introduced, he bought a Macbook and began building apps for the iPhone. He currently has seven apps in the iTunes App Store.
Brett holds an MBA from ASU (’14). His undergraduate major was in mathematics. Before graduating, he decided to get a business degree. He continued taking mathematics courses at the University of Washington after completing his undergraduate degree.