icy: Python 3 data wrangling glue code

"saving time handling multiple different data sources"

Installation

Activate Python 3 environment
Run
```
pip install icy
```
Or download from PyPI (release) or github (dev) and run
```
python setup.py install
```

import icy
icy.preview(path)
data = icy.read(path)

icy.preview(path) displays an overview over the data icy was able to parse. This helps configuring all parsing options.
icy.read(path) returns a dictionary of pandas.DataFrames.
path can be any folder or zip-, csv-, tsv-, txt-, json-, html-, xml-, xls-, xlsx-, sqlite-, hdf5-file or uri (like s3://, http://, ftp://, ssh://, hdfs://, postgresql://).
icy wraps the pandas parsers and odo. Parsing options can be specified in a YAML-file.
For more details see the docs and especially the examples!