December 2018
Beginner to intermediate
682 pages
18h 1m
English
Content preview from Numerical Computing with Python
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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.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.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.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.
To get the most out of this book
This book assumes that you know the basics of Python and R and how to install the libraries. It does not assume that you are already equipped with the knowledge of advanced statistics and mathematics, like linear algebra and so on.
The following versions of software are used throughout this book, but it should run fine with any more recent ones as well:
- Anaconda 3–4.3.1 (all Python and its relevant packages are included in Anaconda, Python 3.6.1, NumPy 1.12.1, Pandas 0.19.2, and scikit-learn 0.18.1)
- R 3.4.0 and RStudio 1.0.143
- Theano 0.9.0
- Keras 2.0.2
- A Windows 7+, macOS 10.10+, or Linux-based computer with 4 GB RAM or above is recommended.
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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.