May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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Setting Up Your Environment for GPU Programming
In this chapter, we will learn about the basic concepts behind using an Integrated Development Environment (IDE). We will look into choosing the most suitable IDE for GPU computing with Python by enlisting four IDEs. PyCharm will be discussed in detail and its effectiveness as a GPU programmable platform will be illustrated. Different editions of PyCharm will be compared and their features discussed. Every additional feature in the professional feature will be mentioned. Academic users and dedicated open source developers will learn how to apply for the professional edition free of charge.
We will learn how to install the educational version of PyCharm to get started with Python-oriented GPU ...
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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.