Python NumPy: Scientific computing with Python
3.8 (6 ratings)
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Python NumPy: Scientific computing with Python

The fundamental package for scientific computing with Python
3.8 (6 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
59 students enrolled
Last updated 2/2017
English
Curiosity Sale
Current price: $10 Original price: $50 Discount: 80% off
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Includes:
  • 1 hour on-demand video
  • 2 Articles
  • 1 Supplemental Resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
What Will I Learn?
  • Express fully why Numpy should be used
  • Ability to install Numpy
  • Understanding of how to use Numpy
View Curriculum
Requirements
  • Some Python experience
  • Some experience working with matrices will be helpful
Description

At the end of this course, you will have 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 and 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


Who is the target audience?
  • Those wanting to know about Python libraries helpful for computational computing
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Curriculum For This Course
13 Lectures
01:06:24
+
NumPy
11 Lectures 01:05:10

What is Numpy
03:12

Basic Mathematics
06:23

Tour of Numpy I
08:02

Tour of Numpy II
10:17


Deviations
03:18

Eigen Values
05:18


Project (Determinants)
09:33

Module Summary
01:03
+
Bonus Material
2 Lectures 01:18
Bonus Lecture: Certificate of Completion
01:04

Bonus Lecture: Course Discounts
00:14
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Stone River eLearning
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