Segmentatuin fault  while read_csv
Following code crashes with segmentation fault (SIGSEGV) - [strace.txt](https://github.com/pydata/pandas/files/31816/strace.txt). When engine is set to `python` all works fine. Problem is in that too large numeber.

```
import pandas as pd
answers = pd.read_csv("questions_answer.csv", engine='c')
```

questions_answer.csv

```
id,number
4926,2222222222222222222222222
```

I observe this error on two Fedora 20 machines

```
INSTALLED VERSIONS
------------------
commit: None
python: 2.7.5.final.0
python-bits: 64
OS: Linux
OS-release: 3.19.8-100.fc20.x86_64
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: cs_CZ.UTF-8

pandas: 0.17.0
nose: None
pip: 1.5.6
setuptools: 3.6
Cython: None
numpy: 1.10.1
scipy: None
statsmodels: None
IPython: None
sphinx: None
patsy: None
dateutil: 2.4.2
pytz: 2015.6
blosc: None
bottleneck: None
tables: None
numexpr: None
matplotlib: None
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: None
httplib2: 0.9
apiclient: None
sqlalchemy: None
pymysql: None
psycopg2: None
```
