Last updated 2/2017
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 128.05 MB | Duration: 0h 51m
Open source Python library used for scientific computing and technical computing.
What you'll learn
Install Scipy
Familiar with Scipy's functionality and how to use it
Ability to create complex computational computing functions
Requirements
Experience using Python (not advanced)
Desire to learn how to use computational computing with Python
Description
Computational computing can be a complex topic. How to perform various mathematical functions in code isn't straight forward.
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.
Overview
Section 1: SciPy
Lecture 1 Module Introduction
Lecture 2 Basic Computations
Lecture 3 Complex Functions
Lecture 4 Integrals
Lecture 5 Double Integrals
Lecture 6 Statistics
Lecture 7 Project (Linear Algebra)
Lecture 8 Module Summary
Section 2: Bonus Material
Lecture 9 Bonus Lecture
Student focused on hard science related topics and wants to perform computational computing with Python
Homepage
Code:
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