You're reading from Hands-On GPU Computing with Python

Product typeBook

Published inMay 2019

Reading LevelIntermediate

PublisherPackt

ISBN-139781789341072

Edition1st Edition

Languages

Python

Tools

TensorFlow CUDA

Concepts

Data Processing

Author (1)

Avimanyu Bandyopadhyay

Summary

In this chapter, we learned about IDEs and their significance. We learned about different IDEs and also went through PyCharm, PyDev for Eclipse, and Jupyter Lab. We also mentioned another IDE named Eric, along with highlighting some of its many features. We discussed PyCharm in detail and learned the differences between the various editions of PyCharm and also how to apply for a free license as an academician or a dedicated open source developer. Installation steps for PyCharm, PyDev, and Jupyter Lab were covered in detail.

Once we were done setting up our IDE, we were able to dive deeper into the GPU-enabled Python programming perspective, hands-on. We customized and explored various programs through CUDA, PyCUDA-C, OpenCL, PyOpenCL, Anaconda, and Numba, making it more convenient for us to understand why PyCUDA, PyOpenCL, and Anaconda Accelerate were developed. We looked...

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Hands-On GPU Computing with Python

Published in: May 2019Publisher: PacktISBN-13: 9781789341072

Author (1)

Avimanyu Bandyopadhyay

Avimanyu Bandyopadhyay is currently pursuing a PhD degree in Bioinformatics based on applied GPU computing in Computational Biology at Heritage Institute of Technology, Kolkata, India. Since 2014, he developed a keen interest in GPU computing, and used CUDA for his master's thesis. He has experience as a systems administrator as well, particularly on the Linux platform. Avimanyu is also a scientific writer, technology communicator, and a passionate gamer. He has published technical writing on open source computing and has actively participated in NVIDIA's GPU computing conferences since 2016. A big-time Linux fan, he strongly believes in the significance of Linux and an open source approach in scientific research. Deep learning with GPUs is his new passion!
Read more about Avimanyu Bandyopadhyay

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