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

Product typeBook
Published inMay 2019
Reading LevelIntermediate
PublisherPackt
ISBN-139781789341072
Edition1st Edition
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Author (1)
Avimanyu Bandyopadhyay
Avimanyu Bandyopadhyay
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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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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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You have been reading a chapter from
Hands-On GPU Computing with Python
Published in: May 2019Publisher: PacktISBN-13: 9781789341072

Author (1)

author image
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