Python SciPy: The Open Source Python Library


With this Python SciPy: The Open Source Python Library course, you'll be able to address both basic computations and complex functions. Then take on topics such as double integrals, statistics, and linear algebra. Get ready to learn SciPy – the advanced scientific library for Python!

Length: 1 hr

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Computational computing can be a complex topic. How to perform various mathematical functions in code isn’t straight forward.

With this Python SciPy: The Open Source Python Library course, you’ll walk through a number of examples showing exactly how to create and execute complex computational computing functions.

The course starts with an explanation of what SciPy is. Then we see how to install it. From there, we get into simple mathematical computations, and and move into more advanced computations. The last few lessons demonstrate the full capabilities of SciPy.

SciPy is for those that need to perform rigorous, complex computations and not have the program bog down computing them. If you’re ready to see how to create even the most complex mathematical functions in code, this course is for you.

Sample clip



Module Introduction

Basic Computations

Complex functions


Double Integrals


Project (Linear Algebra)

Module Summary

Brett Romero is a software engineer and entrepreneur. He has started several businesses, including Bitesize Business School, where he writes about applying business principles to the real world and solving technology issues that every online business faces. His first business, Cygen, was a web design consulting business, from which he also created his first product – a JavaScript-based chatroom web application.

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.

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