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Maybe also mention jupyter lab when talk about jupyter notebook, which is in active development, and jupyter notebook is in maintenance mode.
The js based plotting package such as plotly is a good supplement to matplotlib. (i.e. when you want to rotate 3D plot to explore the 3D structure of data in jupyter notebook, the plotly will give you better experience)
Consider that the gpus on Metis are usually free, CUDA based GPU-accelerated computing is worth to metion. The pacakge CuPy is easy to use.
If you think these aspects are worth to include, I'd like to give a brief talk about these in our workshop
Tao Jing
The text was updated successfully, but these errors were encountered:
I have added these three topics into our read-the-docs site.
Chapter 2 / jupyter notebook and lab - jupyter lab.
Chapter 3 / plotting - plotly.
Chapter 3 / scientific computation - CuPy.
It will be great if you give talks on them.
Could you please prepare some slides for them and tell Zhuo Cheng if you are ready?
Your talk may be given on a separate day if it is long, or just right after any other talk if short. It is totally free for you to decide.
I have added these three topics into our read-the-docs site.
Chapter 2 / jupyter notebook and lab - jupyter lab.
Chapter 3 / plotting - plotly.
Chapter 3 / scientific computation - CuPy.
It will be great if you give talks on them. Could you please prepare some slides for them and tell Zhuo Cheng if you are ready? Your talk may be given on a separate day if it is long, or just right after any other talk if short. It is totally free for you to decide.
All the best, Yangyao
Thanks Yangyao,
I think the jupyter lab is better to be a supplement as the introduction of jupyter notebook. The plotly and CuPy (maybe also other things) will be included in a separate talk in next semester. I advice that the astro-hammer can be a part of our student only group meeting, everybody can introduce someting useful.
plotly
is a good supplement tomatplotlib
. (i.e. when you want to rotate 3D plot to explore the 3D structure of data in jupyter notebook, theplotly
will give you better experience)CuPy
is easy to use.If you think these aspects are worth to include, I'd like to give a brief talk about these in our workshop
Tao Jing
The text was updated successfully, but these errors were encountered: