# GET STARTED

## Quick Install

You can use pip to install PaddlePaddle with a single command, supports CentOS 6 above, Ubuntu 14.04 above or MacOS 10.12, with Python 2.7 installed. Simply run the following command to install:

>     pip install paddlepaddle

If you need to install GPU version, run:

>     pip install paddlepaddle-gpu

For more details about installation and build:

- Install and Build

### Quick Start

Create a new file called housing.py, and paste this Python code:

>     import paddle.v2 as paddle

>     # Initialize PaddlePaddle.
>     paddle.init(use_gpu=False, trainer_count=1)

>     # Configure the neural network.
>     x = paddle.layer.data(name='x', type=paddle.data_type.dense_vector(13))
>     y_predict = paddle.layer.fc(input=x, size=1, act=paddle.activation.Linear())

>     # Infer using provided test data.
>     probs = paddle.infer(
>         output_layer=y_predict,
>         parameters=paddle.dataset.uci_housing.model(),
>         input=[item for item in paddle.dataset.uci_housing.test()()])

>     for i in xrange(len(probs)):
>         print 'Predicted price: ${:,.2f}'.format(probs[i][0] * 1000)

Run `python housing.py` and voila! It should print out a list of predictions for the test housing data.