Differences
This shows you the differences between two versions of the page.
|
ep:labs:05 [2020/11/10 16:37] ioan_adrian.cosma [Python Scientific Computing] |
ep:labs:05 [2020/11/10 16:44] (current) ioan_adrian.cosma [Python Scientific Computing Resources] |
||
|---|---|---|---|
| Line 8: | Line 8: | ||
| - | ===== Contents ===== | ||
| - | {{page>:ep:labs:05:meta:nav&nofooter&noeditbutton}} | ||
| - | ===== Python Scientific Computing ===== | + | ===== Python Scientific Computing Resources ===== |
| In this lab, we will study a new library in python that offers fast, memory efficient manipulation of vectors, matrices and tensors: **numpy**. We will also study basic plotting of data using the most popular data visualization libraries in the python ecosystem: **matplotlib**. | In this lab, we will study a new library in python that offers fast, memory efficient manipulation of vectors, matrices and tensors: **numpy**. We will also study basic plotting of data using the most popular data visualization libraries in the python ecosystem: **matplotlib**. | ||
| Line 20: | Line 18: | ||
| 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 | ||
| Line 40: | Line 38: | ||
| 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 | ||
| Line 60: | Line 58: | ||
| - [[https://stanford.edu/~shervine/teaching/cs-229/refresher-probabilities-statistics|Probabilities & Stats Refresher]] | - [[https://stanford.edu/~shervine/teaching/cs-229/refresher-probabilities-statistics|Probabilities & Stats Refresher]] | ||
| - [[https://stanford.edu/~shervine/teaching/cs-229/refresher-algebra-calculus|Algebra]] | - [[https://stanford.edu/~shervine/teaching/cs-229/refresher-algebra-calculus|Algebra]] | ||
| - | ===== Tutorial ===== | ||
| - | {{namespace>:ep:labs:05:contents:tutorial&nofooter&noeditbutton}} | + | <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 ===== | ||
