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ep:labs:05 [2020/11/10 16:41] ioan_adrian.cosma [Python Scientific Computing] |
ep:labs:05 [2020/11/10 16:44] (current) ioan_adrian.cosma [Python Scientific Computing Resources] |
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| - | ===== Contents ===== | ||
| - | {{page>:ep:labs:05:meta:nav&nofooter&noeditbutton}} | ||
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| Python is very easy to use, but the downside is that it's not fast at numerical computing. Luckily, we have very eficient libraries for all our use-cases. | Python is very easy to use, but the downside is that it's not fast at numerical computing. Luckily, we have very eficient libraries for all our use-cases. | ||
| - | Core computing libraries | + | **Core computing libraries** |
| * numpy and scipy: scientific computing | * numpy and scipy: scientific computing | ||
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| We also have advanced interactive environments: | We also have advanced interactive environments: | ||
| - | * Ipython: advanced python console | + | * IPython: advanced python console |
| * Jupyter: notebooks in the browser | * Jupyter: notebooks in the browser | ||
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| - | This lab is organized in a Jupyer Notebook hosted on Google Colab. You will find there some intuitions and applications for numpy and matplotlib. | + | <note>This lab is organized in a Jupyer Notebook hosted on Google Colab. You will find there some intuitions and applications for numpy and matplotlib. Check out the Tasks section below.</note> |
| ===== Tasks ===== | ===== Tasks ===== | ||
