@@ -18,8 +18,14 @@ other scientific computing packages such as [pandas](/pandas.html). | |||
| 18 | 18 | ||
| 19 | 19 | ||
| 20 | 20 | ### NumPy resources | |
| 21 | + * [From Python to NumPy](http://www.labri.fr/perso/nrougier/from-python-to-numpy/) | ||
| 22 | + is an awesome resource that shows how to use your basic | ||
| 23 | + Python knowledge to learn how to do vectorization with NumPy. | ||
| 24 | + | ||
| 21 | 25 | * [101 NumPy Exercises for Data Analysis](https://www.machinelearningplus.com/101-numpy-exercises-python/) | |
| 22 | 26 | ||
| 23 | 27 | * [NumPy: creating and manipulating numerical data](http://www.scipy-lectures.org/intro/numpy/index.html) | |
| 24 | 28 | ||
| 25 | - | ||
| 29 | + * [Python NumPy Array Tutorial](https://www.datacamp.com/community/tutorials/python-numpy-tutorial) | ||
| 30 | + is a starter tutorial specifically focused on using and working | ||
| 31 | + with NumPy's powerful arrays. | ||
@@ -13,6 +13,8 @@ for math, science and engineering. [NumPy](/numpy.html), | |||
| 13 | 13 | [Matplotlib](/matplotlib.html) and [pandas](/pandas.html) are libraries | |
| 14 | 14 | that fall under the SciPy project umbrella. | |
| 15 | 15 | ||
| 16 | + <img src="/img/logos/scipy.png" width="100%" alt="SciPy project logo."> | ||
| 17 | + | ||
| 16 | 18 | [Blaze](http://blaze.pydata.org/) is a similar, but separate, ecosystem | |
| 17 | 19 | with additional tools for wrangling, cleaning, processing and analyzing data. | |
| 18 | 20 | ||
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