October 2015
Beginner
200 pages
3h 56m
English
book
Learning IPython for Interactive Computing and Data Visualization, Second Edition
by Cyrille Rossant
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Chapter 3. Numerical Computing with NumPy
NumPy is the library that underlies the entire SciPy/PyData ecosystem. NumPy provides a multidimensional array data type that is widely used in numerical computing.
In this chapter, we will use NumPy on data analysis and scientific modeling examples, covering the following topics:
- A primer to vector computing
- Creating and loading arrays
- Basic array manipulations
- Computing with NumPy arrays
A primer to vector computing
Vector computing is about efficiently performing mathematical operations on numerical arrays. Many problems in science and engineering actually consist of a sequence of such operations.
This section introduces and demonstrates the multidimensional array data type for numerical computing.
Multidimensional ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.