Course Overview 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 Example Video Course Outline 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. Learn anytime, anywhere, at home or on the go. Length of Subscription: 12 Months Online On-Demand Access Running Time: 1 hour Platform: Windows andamp; MAC OS Level: Beginner to Intermediate Stream your training via the internet, or download to your computer and supported mobile device, including iPad™, iPhone™, iPod™ Touch and most Android devices. Need to train your Team? Contact Us for Discounts on Multiple Subscription Purchases.
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