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ep:labs:05 [2020/11/10 16:43] ioan_adrian.cosma [Python Scientific Computing Resources] |
ep:labs:05 [2020/11/10 16:44] (current) ioan_adrian.cosma [Python Scientific Computing Resources] |
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- | ===== Contents ===== | ||
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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 | ||