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Hands-On GPU Computing with Python

You're reading from   Hands-On GPU Computing with Python Explore the capabilities of GPUs for solving high performance computational problems

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781789341072
Length 452 pages
Edition 1st Edition
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Avimanyu Bandyopadhyay Avimanyu Bandyopadhyay
Author Profile Icon Avimanyu Bandyopadhyay
Avimanyu Bandyopadhyay
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Table of Contents (17) Chapters Close

Preface 1. Section 1: Computing with GPUs Introduction, Fundamental Concepts, and Hardware
2. Introducing GPU Computing FREE CHAPTER 3. Designing a GPU Computing Strategy 4. Setting Up a GPU Computing Platform with NVIDIA and AMD 5. Section 2: Hands-On Development with GPU Programming
6. Fundamentals of GPU Programming 7. Setting Up Your Environment for GPU Programming 8. Working with CUDA and PyCUDA 9. Working with ROCm and PyOpenCL 10. Working with Anaconda, CuPy, and Numba for GPUs 11. Section 3: Containerization and Machine Learning with GPU-Powered Python
12. Containerization on GPU-Enabled Platforms 13. Accelerated Machine Learning on GPUs 14. GPU Acceleration for Scientific Applications Using DeepChem 15. Other Books You May Enjoy Appendix A

Installing Jupyter Notebook and Jupyter Lab

The installation of Jupyter Notebook and Jupyter Lab is very simple, since we have already learned how to install Anaconda.

For a system-wide installation for both of them on Anaconda, open a Terminal and run the following command with conda:

$ conda install jupyter jupyterlab

For a separate installation, you can first create a virtual environment with conda and then use the preceding command. Here, we use jupyterworld as the name of the virtual environment. Enter y to proceed:

$ conda create --name jupyterworld
---
proceed ([y]/n)? y
$ conda activate jupyterworld
(jupyterworld)$ conda install jupyter jupyterlab

To run Jupyter Notebook, use the following command:

jupyter notebook

To run Jupyter Lab, use the following command:

jupyter lab

Your default web browser will launch it as soon as you enter the command.

Here is how the web-based IDE...

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