Python Scipy: The Open Source Python Library
Advanced scientific library for Python
e-courses4you
Summary
- Tutor is available to students
Add to basket or enquire
Overview
Do you find computational computing complex? How to perform various mathematical functions in code isn’t straight forward.
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.
Course media
Description
With Python’s Scipy library, we’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.
Who is this course for?
- IT students
- Job seekers
- IT professionals
Questions and answers
Currently there are no Q&As for this course. Be the first to ask a question.
Reviews
Currently there are no reviews for this course. Be the first to leave a review.
Legal information
This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.