DOC: First impressions
I remember sometime in 2014 being told about pandas & numpy and trying to find out more about it. And some of my friends (who haven't coded before) are in a similar position now. And so I'm reminded that the first thing you see is not compelling to a typical new user (e.g. someone who knows Excel and a bit of SQL):

### First result when searching for 'pandas' on Google:


![image](https://user-images.githubusercontent.com/5635139/36438798-f01cf358-1638-11e8-9807-3ced6605e3ff.png)

# Some comparisons:

### Jupyter Notebook

![image](https://user-images.githubusercontent.com/5635139/36438931-5639069a-1639-11e8-80c7-cfc8d8c11ba5.png)


### Tensorflow, which is not exactly for beginners:

![image](https://user-images.githubusercontent.com/5635139/36438837-069f8230-1639-11e8-9214-86f65a7c4d4a.png)


### Tidyverse is a bit better:

![image](https://user-images.githubusercontent.com/5635139/36438880-31f799b8-1639-11e8-8a9a-ac04f5835711.png)


### Pandas' GitHub Readme is better, but still doesn't immediately tell you what you can achieve (and is overly bashful - I think pandas can say that it has hit that goal)

![image](https://user-images.githubusercontent.com/5635139/36439028-9f896074-1639-11e8-8e0e-0454ead8ae1e.png)


## Proposal
...what do people think about redoing the opening page to make it more immediately appealing to new users - particularly those who don't have an engineering background?

If so, what do people think should be included?