**Hourly**- Intermediate ($$) - Est. Time: Less than 1 week, Less than 10 hrs/week - Posted

I am looking for a person who has experience performing statistical analysis using Python.
I have a small dataset that consists of non-uniform time series data points (date of measurement, asset price) and I would like you to write a function that would take the dataset as input and produce an estimate of the present price for this asset as output.
I would also like a brief explanation of the approach (i.e. do recent datapoints have more weight than older ones, are some outlying datapoints excluded, etc.).
I would prefer you to utilize one of the existing Puthon stats analysis packages (pandas, numpy, statsmodels, scipy).
Example dataset (a few more can be provided for validation/development):
+------------+----------+
| date | price |
+------------+----------+
| 2013-06-21 | 183000 |
| 2013-10-04 | 178000 |
| 2014-01-10 | 178500 |
| 2013-11-22 | 176000 |
| 2013-11-26 | 183000 |
| 2014-02-01 | 184000 |
| 2014-04-01 | 181500 |
| 2015-05-30 | 228500 |
| 2015-07-31 | 213000 |
| 2015-08-13 | 232000 |
| 2016-01-16 | 235000 |
| 2015-11-22 | 210000 |
| 2016-01-05 | 227500 |
| 2015-12-16 | 220000 |
| 2016-02-10 | 226000 |
+------------+----------+

**Skills:**Python SciPy Python Numpy